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In Press (14)
- [2981] L.B.Furstenau, Y.P. Reckziegel Rodrigues, M.K. Sott, P. Leivas, M.S. Dohan, J.R. López-Robles, M.J. Cobo, N.L. Bragazzi, K-K.R Choo. Internet of things: Conceptual network structure, main challenges and future directions. Digital Communications and Networks, in press. doi: 10.1016/j.dcan.2022.04.027
- [2992] X. Wu, J. Wang, Q. Li, J. Cao, E. Herrera-Viedma, Y. Guo. Trust Maintenance in IoT for Smart Cities with Complex Network Metrics. Expert Systems with Applications. Accepted, 2022, in press.
- [2796] W. Ding, W. Pedrycz, I. Triguero, Z. Cao, CT. Lin. Multigranulation Super-Trust Model for Attribute Reduction. IEEE Transactions on Fuzzy Systems, in press. doi: 10.1109/TFUZZ.2020.2975152
- [2844] P. Lázaro-Rodríguez. Noticias digitales sobre bibliotecas públicas en España: mapeo de medios y análisis temático y de consumo basado en las interacciones en Facebook.. Profesional de la Información, Accepted, 2020., in press.
- [2573] A. Valdivia, E. Martínez-Cámara, I. Chaturvedi, M.V. Luzón, E. Cambria, Y. Ong, F. Herrera. What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. Journal of Ambient Intelligence and Humanized Computing (2018), in press. doi: 10.1007/s12652-018-1150-3
Read the paper - [2578] A. Valdivia, E. Hrabova, I. Chaturvedi, M.V. Luzón, L. Troiano, E. Cambria, F. Herrera. Inconsistencies on TripAdvisor Reviews: a Unified Index between Users and Sentiment Analysis Methods. Neurocomputing (2019), in press.
- [2678] P. Tellez-Dominguez, J.A. Moral-Muñoz, E. Casado, A. Salazar, D. Lucena-Anton. Efectos de la realidad virtual sobre el equilibrio y marcha en ictus: revisión sistemática y meta-análisis. Revista de Neurología, in press.
- [2679] M.E. Ortega-Martín, D. Lucena-Anton, C. Luque-Moreno, A.M. Heredia-Rizo, J.A. Moral-Muñoz. Aplicaciones móviles en el abordaje terapéutico del ictus: Revisión en respositorios comerciales y búsqueda de evidencia. Revista Española de Salud Pública, in press.
- [2597] F.J. Baldán, J.M. Benítez. Distributed FastShapelet Transform: a Big Data time series classification algorithm. Information Sciences, Accepted, in press. doi: 10.1016/j.ins.2018.10.028
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [2171] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, A. Alonso-Betanzos, F. Herrera. An Information Theory-Based Feature Selection Framework for Big Data under Apache Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2017), in press. doi: 10.1109/TSMC.2017.2670926
- [2254] P.D. Gutiérrez, M. Lastra, J.M. Benítez, F. Herrera. SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Progress in Artificial Intelligence, in press. doi: 10.1007/s13748-017-0128-2
- [2361] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. Neurocomputing, 2017. Available online 14 September 2017, in press. doi: 10.1016/j.neucom.2016.08.158
- [2362] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. REMEDIAL-HwR: Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. Neurocomputing, 2017. Available online 12 September 2017, in press. doi: 10.1016/j.neucom.2017.01.118
- [2376] C. R. Cloninger, I. Zwir. What is the natural measurement unit of temperament: single traits or profiles?. Philosophical Transactions B, in press.
2025 (1)
- [3107] Y. Li, I.J. Pérez, F.J. Cabrerizo, J.A. Morente-Molinera. An algorithm for belief rule induction with partial ignorance. Expert Systems with Applications 261 (2025) 125517. doi: 10.1016/j.eswa.2024.125517
2024 (17)
- [3060] H. Wang, Y. Ju, P. Dong, A. Wang, F.J. Cabrerizo. Preference-based regret three-way decision method on multiple decision information systems with linguistic Z-numbers. Information Sciences 654 (2024) 119861. doi: 10.1016/j.ins.2023.119861
- [3063] Z. Wu, P. Gao, Y. Wang, X. Xu, N. Wan, F.J. Cabrerizo. Robust minimum cost consensus models with uncertain asymmetric costs based on linear uncertain-constrained tolerance level. Engineering Applications of Artificial Intelligence 130 (2024) 107699. doi: 10.1016/j.engappai.2023.107699
- [3064] X. Sun, J. Zhu, J. Wang, I.J. Pérez, F.J. Cabrerizo. Consensus-reaching process in multi-stage large-scale group decision-making based on social network analysis: Exploring the implication of herding behavior. Information Fusion 104 (2024) 102184. doi: 10.1016/j.inffus.2023.102184
- [3065] J.C. González-Quesada, A. Velykorusova, A. Banaitis, A. Kaklauskas, F.J. Cabrerizo. Non-uniform allocation of information granularity to improve consistency and consensus in multi-criteria group decision-making: Application to building refurbishment. Engineering Applications of Artificial Intelligence 130 (2024) 107737. doi: 10.1016/j.engappai.2023.107737
- [3066] J.C. González-Quesada, I.J. Pérez, E. Herrera-Viedma, F.J. Cabrerizo. A study of different protocols of distribution of information granularity to build consensus in fuzzy group decision-making. Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS 57), Honolulu, Hawaii (USA), 1754-1763, January 3-6, 2024.
- [3093] Y. Li, I.J. Pérez, F.J. Cabrerizo, H. Garg, J.A. Morente-Molinera. A belief rule-based classification system using fuzzy unordered rule induction algorithm. Information Sciences 667 (2024) 120462. doi: 10.1016/j.ins.2024.120462
- [3094] S. Giannoukakos, S. D'Ambrosi, D. Koppers-Lalic, C. Gómez-Martín, A. Fernandez, M. Hackenberg. Assessing the complementary information from an increased number of biologically relevant features in liquid-biopsy-derived RNA-Seq datarr. Heliyon 10:6e27360 (2024). doi: 10.1016/j.heliyon.2024.e27360
- [3095] A. Torres-Martos, A. Anguita, J. Alcalá-Fdez. Inteligencia Artificial en Nutrición. In: Á. Gil, M. Gil Campos, E. Martínez de Victoria Muñoz, E. Molina Montes (Eds.): Tratado de Nutrición, Tomo IV - Nutrición Humana en el Estado de Salud, Editorial Médica Panamericana, 2024, 721-734. ISBN 978-84-1106-164-3.
- [3096] J. Zhang, F. Liu, Z. Liu, I.J. Pérez, F.J. Cabrerizo. Existence and simulation of multiple solutions to an optimization model for completing incomplete fuzzy preference relations. Applied Intelligence 54 (2024) 9395–9411. doi: 10.1007/s10489-024-05667-9
- [3097] J.R. Trillo, F.J. Cabrerizo, I.J. Pérez, J.A. Morente-Molinera, E. Herrera-Viedma. A new consensus reaching method for group decision-making based on the large language model Gemini for detecting hostility during the discussion process. 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Madrid (Spain), May 23-24, 2024. doi: 10.1109/EAIS58494.2024.10570029
- [3098] J.C. González-Quesada, I.J. Pérez, S. Alonso, J.M. Tapia, E. Herrera-Viedma, F.J. Cabrerizo. Distribución no uniforme de la granularidad de la información para mejorar la consistencia y el consenso en toma de decisiones en grupo. XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024), A Coruña (Spain), 371-372, June 19-21, 2024.
- [3099] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo, I.J. Pérez. Un método de ayuda a la toma de decisiones en grupo basado en el comportamiento de los expertos durante el debate. XX Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2024), A Coruña (Spain), 373-374, June 19-21, 2024.
- [3100] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, A. Ramírez-Mena, M. Arteaga, G. Bueno, R. Leis, C.M. Aguilera, R. Alcalá, J. Alcalá-Fdez. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Artificial Intelligence in Medicine 156 (2024) 102962. doi: 10.1016/j.artmed.2024.102962
- [3101] J. Lopez-Martinez, P. Checa, J.M. Soto-Hidalgo, I. Triguero, A. Fernández. A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities. 2024 International Joint Conference on Neural Networks (IJCNN).
- [3102] J.C. González-Quesada, J.R. Trillo, M.A. Martínez, E. Herrera-Viedma, F.J. Cabrerizo. Large-scale group decision-making: A bibliometrics study. 11th International Conference on Information Technology and Quantitative Management (ITQM 2024), Procedia Computer Science 242, Bucharest (Romania), 1198-1205, August 23-25, 2024. doi: 10.1016/j.procs.2024.08.166
- [3103] J.C. González-Quesada, F.J. Cabrerizo, E. Herrera-Viedma, W. Pedrycz. Building consensus in group decision-making with intuitionistic reciprocal preference relations: An analysis of various protocols of information granularity distribution. 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Sarawak (Malaysia), 1358-1363, October 6-10, 2024.
- [3106] J.R. Trillo, M.A. Martínez, S. Zadrozny, J. Kacprzyk, E. Herrera-Viedma, F.J. Cabrerizo. A group decision-making approach leveraging preference relations derived from large language model. 11th International Conference on Information Technology and Quantitative Management (ITQM 2024), Procedia Computer Science 242, Bucharest (Romania), 452-459, August 23-25, 2024. doi: 10.1016/j.procs.2024.08.161
2023 (50)
- [2926] R. Zhang, J. Huang, Y. Xu, E. Herrera-Viedma. Consensus models with aggregation operators for minimum quadratic cost in group decision making. Applied Intelligence 53:1370–1390. doi: 10.1007/s10489-021-02948-5
- [2935] J. Pereira Amorim, P.H. Abreu, A. Fernández, M. Reyes, J. Santos, M. H. Abreu. Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists. IEEE Reviews in Biomedical Engineering, 16 (2023) 192 - 207. doi: 10.1109/RBME.2021.3131358
- [2954] C. Sáenz-Royo, F. Chiclana, E. Herrera-Viedma. Functional representation of the intentional bounded rationality of decision-makers: A laboratory to study the decisions a priori. Mathematics, 10(5), 739, Accepted, 2022.. doi: 10.3390/math10050739
- [2956] Y. Xu, S. Zhu, X. Liu, J. Huang, E. Herrera-Viedma. Additive consistency exploration of linguistic preference relations with self-confidence. Artificial Intelligence Review volume 56, pages257–285 (2023). doi: 10.1007/s10462-022-10172-x
- [2963] R. Fang, H. Liao, Z. Xu, E. Herrera-Viedma. Risk assessment in project management by a graph-theory-based group decision making method with comprehensive linguistic preference information. Economic Research-Ekonomska Istraživanja, (2023) Volume 36, NO. 1, Pages: 86 – 115. doi: 10.1080/1331677X.2022.2070772
- [2975] C. Zuheros, E. Martinez-Camara, E. Herrera-Viedma, F. Herrera. Crowd Decision Making: Sparse Representation guided by Sentiment Analysis for leveraging the Wisdom of the Crowd. IEEE Transactions on Systems, Man and Cybernetics:Systems, Volume 53, Issue: 1, Pages 369-379, 2022. Accepted.. doi: 10.1109/TSMC.2022.3180938
- [2978] H. Hassani, R. Razavi-Far, M. Saif, F. Chiclana, O. Krejcar, E. Herrera-Viedma. Classical Dynamic Consensus and Opinion Dynamics Models: A Survey of Recent Trends and Methodologies. Information Fusion, Volume 88, December 2022, Pages 22-40, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.003
- [2989] J. Deng, J. Zhan, E. Herrera-Viedma, F. Herrera. Regret theory-based three-way decision method on incomplete multi-scale decision information systems with interval fuzzy numbers. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 982-996, March 2023. doi: 10.1109/TFUZZ.2022.3193453
- [2990] F. Ji, F. Chiclana, M. Zhou, E. Herrera-Viedma, J. Wu. Ordinal and joint feedback mechanism to support group consensus based on interval-valued number with self-confidence. Information Fusion, Volume 88, December 2022, Pages 202-217, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.021
- [2997] M.S. Santos, P.H. Abreu, N. Japkowicz, A. Fernández, J. Santos. A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Information Fusion 89 (2023) 228-253. doi: 10.1016/j.inffus.2022.08.017
- [3000] C. Sáenz-Royo, F. Chiclana, E. Herrera-Viedma. Intentional bounded rationality methodology to assess the quality of decision-making approaches with latent alternative performances. Information Fusion, Volume 89, January 2023, Pages 254-266. doi: 10.1016/j.inffus.2022.08.019
- [3007] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A large scale group decision making system based on sentiment analysis cluster. Information Fusion 91 (2023) 633-643. doi: 10.1016/j.inffus.2022.11.009
- [3008] X. Xu, Z. Gong, E. Herrera-Viedma, G. Kou, F.J. Cabrerizo. Consensus reaching in group decision making with linear uncertain preferences and asymmetric costs. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:5 (2023) 2887-2899. doi: 10.1109/TSMC.2022.3220837
- [3014] J. Poyatos, D. Molina, A. D. Martínez, J. Del Ser, F. Herrera. EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks, 158 (2023) 59-82. doi: 10.1016/j.neunet.2022.10.011
- [3018] Y. Du, Z.S. Chen, J. Yang, J.A. Morente-Molinera, L. Zhang, E. Herrera-Viedma. A Textual Data-Oriented Method for Doctor Selection in Online Health Communities. Sustainability 15, no. 2: 1241. doi: 10.3390/su15021241
- [3019] J. Herce-Zelaya, C. Porcel, A. Tejeda-Lorente, J. Bernabé-Moreno, E. Herrera-Viedma. Introducing CSP Dataset: A Dataset Optimized for the Study of the Cold Start Problem in Recommender Systems. Information 14, no. 1: 19. doi: 10.3390/info14010019
- [3020] Z. Yan, W. Liu, W. Xing, E. Herrera-Viedma. A Multi-Objective Mission Planning Method for AUV Target Search. Journal of Marine Science and Engineering 11, no. 1: 144. doi: 10.3390/jmse11010144
- [3021] A.I. Maghsoodi, A.E. Torkayesh, L.C. Wood, E. Herrera-Viedma, K. Govindan. A machine learning driven multiple criteria decision analysis using LS-SVM feature elimination: Sustainability performance assessment with incomplete data. Engineering Applications of Artificial Intelligence,Volume 119, 2023. doi: 10.1016/j.engappai.2022.105785
- [3030] Á. Torres-Martos, M. Bustos-Aibar, A. Ramírez-Mena, S. Cámara-Sánchez, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity. Genes 14:2 (2023) 248. doi: 10.3390/genes14020248
- [3031] F.J. Cabrerizo, A. Kaklauskas, I.J. Pérez, E. Herrera-Viedma. A granular-based approach to address multiplicative consistency of reciprocal preference relations in decision-making. Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS 56), Maui, Hawaii (USA), 1541-1550, January 3-6, 2023.
- [3032] F. Aghaei, M. Sabokrou, A. Fernandez. Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding. IEEE Transactions on Fuzzy Systems 31:9 (2023) 3069-3080. doi: 10.1109/TFUZZ.2023.3243935
- [3033] S. Kumar-Das, N. Dey, R. Gonzalez-Crespo, E. Herrera-Viedma. A Non-Linear Multi-Objective Technique for Hybrid Peer-to-Peer Communication. Information Sciences 629 (2023) 413–439. doi: 10.1016/j.ins.2023.01.117
- [3038] J. Zhu, X. Ma, Gang Kou, E. Herrera-Viedma, J. Zhan. A three-way consensus model with regret theory under the framework of probabilistic linguistic term sets. Information Fusion, Volume 95, 2023, 250-274.. doi: 10.1016/j.inffus.2023.02.029
- [3039] E. Hallaji, R. Razavi-Far, M. Saif, E. Herrera-Viedma. Label noise analysis meets adversarial training: A defense against label poisoning in federated learning. Knowledge-Based Systems,Volume 266, 2023, 110384. doi: 10.1016/j.knosys.2023.110384
- [3040] Q. Jia, E. Herrera-Viedma. Pythagorean Fuzzy Sets to Solve Z-Numbers in Decision-Making Model. IEEE Transactions on Fuzzy Systems, vol. 31, no. 3, pp. 890-904, March 2023. doi: 10.1109/TFUZZ.2022.3191359
- [3041] S. D'Ambrosi, S. Giannoukakos, M. Antunes-Ferreira, C. Pedraz-Valdunciel, J. W. P. Bracht, N. Potie, A. Gimenez-Capitan, M. Hackenberg, A. Fernandez, M. A. Molina-Vila, R. Rosell, T. Würdinger, D. Koppers-Lalic. Combinatorial Blood Platelets-Derived circRNA and mRNA Signature for Early-Stage Lung Cancer Detection. International Journal of Molecular Sciences 24:5 (2023) 4881:1-4881:17. doi: 10.3390/ijms24054881
- [3042] C. Xu, C. Xu, W. Xing, E. Herrera-Viedma. Guided Trajectory Filtering for Challenging Long-range AUV Navigation. IEEE Trans. on Instrumentation and Measurement, 2023.
- [3043] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems 465 (2023) 108511. doi: 10.1016/j.fss.2023.03.014
- [3047] J.R. Trillo, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A group decision-making method based on the experts' behaviour during the debate. IEEE Transactions on Systems, Man, and Cybernetics: Systems 53:9 (2023) 5796-5808. doi: 10.1109/TSMC.2023.3275056
- [3048] Y. Li, E. Herrera-Viedma, I.J. Pérez, M. Barragán-Guzmán, J.A. Morente-Molinera. Z-number-valued rule-based classification system. Applied Soft Computing, 137, 110168..
- [3049] A. Velez-Estevez, I.J. Pérez, P. García-Sánchez, J.A. Moral-Muñoz, M.J. Cobo. New trends in bibliometric APIs: A comparative analysis. Information Processing & Management, 60(4), 103385..
- [3050] M. Bustos-Aibar, C.M. Aguilera, J. Alcalá-Fdez, F.J. Ruiz-Ojeda, J. Plaza, A. Plaza-Florido, I. Tofe, M. Gil-Campos, M.J. Gacto, A. Anguita-Ruiz. Shared gene expression signatures between visceral adipose and skeletal muscle tissues are associated with cardiometabolic traits in boys with obesity. Computers in Biology and Medicine 163 (2023) 107085. doi: 10.1016/j.compbiomed.2023.107085
- [3053] A. Ramírez-Mena, E. Andrés-León, M.J. Alvarez-Cubero, A. Anguita-Ruiz, L.J. Martinez-Gonzalez, J. Alcalá-Fdez. Explainable artificial intelligence to predict and identify prostate cancer tissue by gene expression. Computer Methods and Programs in Biomedicine 240 (2023) 107719. doi: https://doi.org/10.1016/j.cmpb.2023.107719
- [3054] M. Arteaga, M.J. Gacto, M. Galende, J. Alcalá-Fdez, R. Alcalá. Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems with Applications 234 (2023) 121011. doi: 10.1016/j.eswa.2023.121011
- [3055] Q. Ran, X. Chao, F.J. Cabrerizo, E. Herrera-Viedma. Managing overconfidence behaviors from heterogeneous preference relations in linguistic group decision making. IEEE Transactions on Fuzzy Systems 31:7 (2023) 2435-2449. doi: 10.1109/TFUZZ.2022.3226321
- [3056] J. Poyatos, D. Molina, Aitor Martínez-Seras, J. Del Ser, F. Herrera. Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Applied Soft Computing 147 (2023) 110757 1-12. doi: 10.1016/j.asoc.2023.110757
- [3057] J.R. Trillo, S. Alonso, I.J. Pérez, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A multi-criteria group decision-making method in changeable scenarios based on self-adjustment of weights using reciprocal preference relations. 13th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2023) and 12th International Summer School on Aggregation Operators (AGOP 2023), Lecture Notes in Computer Science 14069, Palma de Mallorca (Spain), 185-196, September 4-8, 2023. doi: 10.1007/978-3-031-39965-7_16
- [3058] J.R. Trillo, I-J. Pérez, E. Herrera-Viedma, J.A. Morente-Molinera, F.J. Cabrerizo. A group decision-making method based on reciprocal preference relations created from sentiment analysis. 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2023), Lecture Notes in Artificial Intelligence (LNAI) 13925, Shanghai (China), 183-194, July 19-22, 2023. doi: 10.1007/978-3-031-36819-6_16
- [3059] J.A. Morente-Molinera, M. Barragán-Guzmán, J.R. Trillo, M.A. Martínez, F.J. Cabrerizo, E. Herrera-Viedma. Reviving stagnated debates in group decision making environments with high number of alternatives. 10th International Conference on Information Technology and Quantitative Management (ITQM 2023), Procedia Computer 221, Oxford (United Kingdom), 65-72, August 12-14, 2023. doi: 10.1016/j.procs.2023.07.010
- [3061] J.R. Trillo, F.J. Cabrerizo, M.J. del Moral, J.A. Morente-Molinera, J.M. Tapia, E. Herrera-Viedma. A consensus-based multi-criteria group decision-making method based on an aggregated operator customised by experts. 9th International Conference on Control, Decision and Information Technologies (CoDIT 2023), Roma (Italy), 1302-1307, July 3-6, 2023.
- [3062] J.C. González-Quesada, I.J. Pérez, J.A. Morente-Molinera, S. Alonso, E. Herrera-Viedma, F.J. Cabrerizo. Analyzing different protocols of information granularity distribution to improve consistency of fuzzy preference relations in decision-making. 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City (Mexico), 1497-1502, December 5-8, 2023.
- [3068] I.Sevillano-García, J. Luengo, F. Herrera. REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study. International Journal of Intelligent Systems 2023, 1-34. doi: 10.1155/2023/8068569
- [3069] Ignacio Aguilera-Martos, A.M. García-Vico, J. Luengo, S. Damas, F.J. Melero, J.J. Valle-Alonso, F. Herrera. TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing 517, 223-228. doi: 10.1016/j.neucom.2022.10.062
- [3070] I. Aguilera-Martos, M. García-Bárzana, D. García-Gil, J. Carrasco, D. López, J. Luengo, F. Herrera. Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing 544, 126228. doi: 10.1016/j.neucom.2023.126228
- [3071] D. López, I. Aguilera-Martos, M. García-Bárzana, F. Herrera, D. García-Gil, J. Luengo. Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Information Fusion 100, 101957. doi: 10.1016/j.inffus.2023.101957
- [3072] I. Aguilera-Martos, J. Luengo, F. Herrera. Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. HAIS 2023: 39-48. doi: 10.1007/978-3-031-40725-3_4
- [3073] I. Sevillano-García, J. Luengo, F. Herrera. Optimizing LIME Explanations Using REVEL Metrics. HAIS 2023: 304-313. doi: https://doi.org/10.1007/978-3-031-40725-3_26
- [3074] I. Sevillano-García, J. Luengo, F. Herrera. Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability.. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 135-139.
PDF - [3104] Y. Li, E. Herrera-Viedma, G. Kou, J.A. Morente-Molinera. Z-number-valued rule-based decision trees. Information Sciences 643, 119252.
- [3105] Y. Li, E. Herrera-Viedma, I.J. Pérez, W. Xing, J.A. Morente-Molinera. The arithmetic of triangular Z-numbers with reduced calculation complexity using an extension of triangular distribution. Information Sciences 647, 119477.
2022 (80)
- [2980] M.J. Cobo, I.J. Pérez, A. Velez-Estevez, F.J. Cabrerizo. Uncovering the conceptual evolution of sentiment analysis research field during the period 2017–2021. 2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), Larnaca (Cyprus), May 25-26, 2022. doi: 10.1109/EAIS51927.2022.9787534
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- [2979] Y. Li, F.J. Cabrerizo, E. Herrera-Viedma, J.A. Morente-Molinera. A modified uncertainty measure of z-numbers. International Journal of Computers Communications & Control 17:4 (2022) 4862. doi: 10.15837/ijccc.2022.4.4862
- [2859] H. Lu, Y. Zhu, Q. Lin, T. Wang, Z. Niu, E. Herrera-Viedma. Heterogeneous Knowledge Learning of Predictive Academic Intelligence in Transportation. IEEE Transactions on Intelligent Transportation Systems (Volume: 23, Issue: 4, April 2022) Pages: 3737 – 3755. doi: 10.1109/TITS.2020.3041904
- [2870] G. Beliakov, F.J. Cabrerizo, E. Herrera-Viedma, J.-Z. Wu. Random generation of k-interactive capacities. Fuzzy Sets and Systems 430 (2022) 48-55. doi: 10.1016/j.fss.2020.12.010
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- [2888] C-C Li, Y. Dong, F. Chiclana, E. Herrera-Viedma. Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics. IEEE Transactions on Cybernetics (Volume: 52, Issue: 7, July 2022) Pages: 6170 – 6180. doi: 10.1109/TCYB.2021.3072147
- [2890] Q. Sun, J. Wu, F. Chiclana, H. Fujita, E. Herrera-Viedma. A dynamic feedback mechanism with attitudinal consensus threshold for minimum adjustment cost in group decision making. IEEE Transactions on Fuzzy Systems (Volume: 30, Issue: 5, May 2022)
Pages: 1287 - 1301. doi: 10.1109/TFUZZ.2021.3057705
- [2891] J.A. Morente-Molinera, Y. Wang, Z. -W. Gong, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Reducing Criteria in Multicriteria Group Decision-Making Methods Using Hierarchical Clustering Methods and Fuzzy Ontologies. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 6, June 2022) Pages: 1585 – 1598. doi: 10.1109/TFUZZ.2021.3062145
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- [2897] A. Yazidi, M. Ivanovska, F. M. Zennaro, P. G. Lind, E. Herrera-Viedma. A new decision making model based on rank centrality for GDM with fuzzy preference relations. European Journal of Operational Research, 297:3 (2022) 1030-1041.
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- [2923] Q. Zha, Y. Don, F. Chiclana, E. Herrera-Viedma. Consensus Reaching in Multiple Attribute Group Decision Making: A Multi-Stage Optimization Feedback Mechanism with Individual Bounded Confidences. IEEE Transactions on Fuzzy Systems ( Volume: 30, Issue: 8, Pages: 3333 – 3346, August 2022). doi: 10.1109/TFUZZ.2021.3113571
- [2932] Y. Xu, W. Dai, J. Huang, M. Li, E. Herrera-Viedma. Some models to manage additive consistency and derive priority weights from hesitant fuzzy preference relations. Information Sciences 586 (2022) 450-467. doi: 10.1016/j.ins.2021.12.002
- [2933] M. Zhou, M. Hu, Y-W. Chen, B-Y. Cheng, J. Wu, E. Herrera-Viedma. Towards achieving consistent opinion fusion in group decision making with complete distributed preference relations. Knowledge-Based Systems, Volume 236, 2022. doi: 10.1016/j.knosys.2021.107740
- [2934] J-W. Zhang, F. Liu, H-Ni. Tu, E. Herrera-Viedma. A decision-making model with sequential incomplete additive pairwise comparisons. Knowledge-Based Systems 236 (2022) 107766. doi: 10.1016/j.knosys.2021.107766
- [2939] S. Maldonado, C. Vairetti, A. Fernandez, F. Herrera. FW-SMOTE: a feature-weighted oversampling approach for imbalanced classification. Pattern Recognition, 124, 108511:1-16 (2022). doi: 10.1016/j.patcog.2021.108511
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pp. 4177 – 4189. doi: 10.1109/TFUZZ.2022.3144536
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- [2945] I. Bueno, R.A. Carrasco, R. Ureña, E. Herrera-Viedma. A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations. Information Sciences 589 (2022) 300-320. doi: 10.1016/j.ins.2021.12.080
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- [2957] D. Molina, J. Poyatos, E. Osaba, J. Del Ser, F. Herrera. Nature-And Bio-Inspired Optimization: The Good, The Bad, The Ugly And The Hopeful. Dyna, 97:2 (2022) 114-117. doi: 10.6036/10331
- [2958] X. Liu, N. Wang, D. Molina, F. Herrera. A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems. Applied Soft Computing, 117 (2022) 108357. doi: 10.1016/j.asoc.2021.108357
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- [2988] M. Zhou, Z.-X. Guan, Y.-W. Chen, Z.-P. Zhou, J. Wu, E. Herrera-Viedma. Consistency and consensus reaching process for group decision making based on complete interval distributed preference relations under social network analysis. Information Fusion, Volume 88, Pages 126-145, Accepted, 2022.. doi: 10.1016/j.inffus.2022.07.015
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- [2999] R. Abolghasemi, R. Khadka, P. G. Lind, P. Engelstad, E. Herrera-Viedma, A. Yazidi. Predicting missing pairwise preferences from similarity features in group decision making. Knowledge-Based Systems, Volume 256, Accepted, 2022. doi: 10.1016/j.knosys.2022.109860
- [3001] W. Wang, J. Zhan, C. Zhang, E. Herrera-Viedma, G. Kou. A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems. Information Fusion, Volume 89, January 2023, Pages 382-396, Accepted, 2022. doi: 10.1016/j.inffus.2022.08.027
- [3002] Y. Du, D. Lio, J.A. Morente-Molinera, E. Herrera-Viedma. A data-driven method for user satisfaction evaluation of smart and connected products. Expert Systems with Applications, Volume 210. Accepted, 2022. doi: 10.1016/j.eswa.2022.118392
- [3003] H. Zhang, S. Liu, Y. Dong, F. Chiclana, E. Herrera-Viedma. A minimum cost consensus-based failure mode and effect analysis framework considering experts’ limited compromise and tolerance behaviors. IEEE Transactions on Cybernetics, Accepted, 2022. doi: 10.1109/TCYB.2022.3212093
- [3004] A. Seal, R. Bajpai, M. Karnati, J. Agnihotri, A. Yazidi, E. Herrera-Viedma, O. Krejcar. Benchmarks for Machine Learning in Depression Discrimination using Electroencephalography Signals. Applied Intelligence, Accepted, 2022. doi: 10.1007/s10489-022-04159-y
- [3005] Q. Jia, J. Hu and E. Herrera-Viedma. A Novel Solution for Z-numbers Based on Complex Fuzzy Sets and Its Application in Decision-making System. IEEE Transactions on Fuzzy Systems, 30:10, (2022) pp. 4102-4114. doi: 10.1109/TFUZZ.2021.3138649
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- [3010] F.J. Cabrerizo, J.C. González-Quesada, E. Herrera-Viedma, A. Kaklauskas, W. Pedrycz. Managing inconsistency with an optimal distribution of information granularity in fuzzy preference relations. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Prague (Czech Republic), 359-364, October 9-12, 2022. doi: 10.1109/SMC53654.2022.9945605
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- [3012] J.R. Trillo, E. Herrera-Viedma, M.J. Higueras-Ruiz, S. Alonso, J.A. Morente-Molinera, F.J. Cabrerizo. Challenges in fuzzy decision making for future research. The 21st International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET_22), Frontiers in Artificial Intelligence and Applications 355, IOS Press, Kitakyushu (Japan), 374-384, September 20-22, 2022. doi: 10.3233/FAIA220267
- [3013] J.R. Trillo, F.J. Cabrerizo, F. Chiclana, M.A. Martínez, E. Herrera-Viedma. Some trends in fuzzy decision making. 9th International Conference on Computers Communications and Control (ICCCC 2022), Advances in Intelligent Systems and Computing 1435, Oradea, Bihor (Romania) 320-332, May 16-20, 2022. doi: 10.1007/978-3-031-16684-6_28
- [3015] I.J. Perez, F.J. Cabrerizo, J.A. Morente-Molinera, J.M. Tapia-García, M.J. del Moral, E. Herrera-Viedma. A new application for multi criteria decision making processes in e-government scenarios. 9th International Conference on Information Technology and Quantitative Management (ITQM 2022), Procedia Computer 214, Beijing & Zhangjiakou (China), 1090-1097, December 9-11, 2022. doi: 10.1016/j.procs.2022.11.282
- [3016] I. Bueno, J. Velasco, R.A. Carrasco, E. Herrera-Viedma. A geospatial model of RFM analysis: An application to tourism in the Iberian Peninsula. 9th International Conference on Information Technology and Quantitative Management
Online, December 9-11, 2022.
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- [3022] Q.D. Nguyet, A. Selamat, O. Krejcar, E. Herrera-Viedma, H. Fujita. Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions. IEEE Access, 2022, Volume 10, Pages 36429 – 36463. doi: 10.1109/ACCESS.2022.3151903
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- [3083] J. A. Cortés-Ibáñez, S. González, J. J. Valle-Alonso, J. Luengo, S. García, F. Herrera. Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514: 385-401 (2020). doi: j.ins.2019.11.027
- [3084] S. Tabik, A. Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, M. Rey-Area, D. Charte, E. Guirado, J.-L. Suárez, J. Luengo, M. A. Valero-González, P. García-Villanova, E. Olmedo-Sánchez, F. Herrera. COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics 24(12): 3595-3605 (2020). doi: 10.1109/JBHI.2020.3037127
- [3085] G. González-Almagro, A. Rosales-Pérez, J. Luengo, J.R. Cano, S. García. Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. GECCO 2020: 333-341. doi: 10.1145/3377930.3390187
- [3086] G. González-Almagro, J.-L. Suárez, J. Luengo, J.R. Cano, S. García. Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. HAIS 2020: 424-436. doi: 10.1007/978-3-030-61705-9_35
- [3087] J.R. Cano, J. Luengo, S. García. Similarity-based and Iterative Label Noise Filters for Monotonic Classification. HICSS 2020: 1-9.
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2019 (113)
- [2335] S. Elhag, A. Fernandez, A. Altalhi, S. Alshomrani, F. Herrera. A Multi-Objective Evolutionary Fuzzy System to Obtain a Broad and Accurate Set of Solutions in Intrusion Detection Systems. Soft Computing 23:4 (2019) 1321-1336. doi: 10.1007/s00500-017-2856-4
- [2391] E.A. Callejas, J.A. Cerrada, C. Cerrada, F.J. Cabrerizo. Group decision making based on a framework of granular computing for multi-criteria and linguistic contexts. IEEE Access 7 (2019) 54670-54681. doi: 10.1109/ACCESS.2019.2913338
- [2439] B. Farhadinia, E. Herrera-Viedma. Sorting of decision making methods based on their outcomes using dominance-vector hesitant fuzzy based distance. Soft Computing, 2019, Vol. 23, Issue 4, pp 1109–1121..
- [2447] J.M. Merigó, M.J. Cobo, S. Laengle, D. Rivas, E. Herrera-Viedma. Twenty years of Soft Computing: A bibliometric overview. Soft Computing, 23:5 pp 1477–1497 (2019). doi: 10.1007/s00500-018-3168-z
- [2669] Y. Dong, W. Liu, F. Chiclana, G. Kou, E. Herrera-Viedma. Are incomplete and self-confident preference relations better in multicriteria decision making? A simulation-based investigation.. Information Sciences, 492, 2019, 40-57..
- [2477] M. R. Ureña, F. Chiclana, G. Melancon, E. Herrera-Viedma. A social network based approach for consensus achievement in multiperson decision making. Information Fusion, 47 (2019) 72-87..
- [2485] J. Cózar, A. Fernandez, F. Herrera, J.A. Gámez. A Meta-Hierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Transactions on Fuzzy Systems 27:4 (2019) 701-715. doi: 10.1109/TFUZZ.2018.2866967
- [2488] Z. Zhaoa, X. Zhang, C. Li, F. Chiclana, E. Herrera-Viedma. An Incremental Method to Detect Communities in Dynamic Evolving Social Networks. Knowledge-Based Systems, 163 (2019) 404–415.
- [2490] A. Fernandez, M.J. de Jesus, O. Cordon, F. Marcelloni, F. Herrera. Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?. IEEE Computational Intelligence Magazine 14:1 (2019) 69-81. doi: 10.1109/MCI.2018.2881645
- [2499] B. Farhadinia, F.J. Cabrerizo, E. Herrera-Viedma. Horizontal representation of a hesitant fuzzy set and its application to multiple attribute decision making. Iranian Journal of Fuzzy Systems 16:5 (2019) 1-13. doi: 10.22111/ijfs.2019.4900
- [2503] Y. Liu, Y. Dong, H.Liang, F. Chiclana, E. Herrera-Viedma. Multiple attribute strategic weight manipulation with minimum cost in a group decision making context with interval attribute weights information. IEEE Trans. Syst. Man and Cyb: Systems, (49):10 (2019) ,pp. 1981-1992..
- [2506] RC. Prati, J. Luengo, F. Herrera. Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. Knowledge and Information Systems 60(1): 63-97 (2019). doi: 10.1007/s10115-018-1244-4
- [2512] J.A. Morente-Molinera, G. Kou, C. Pang, F.J. Cabrerizo, E. Herrera-Viedma. An automatic procedure to create fuzzy ontologies from users' opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods. Information Sciences 476 (2019) 222-238. doi: 10.1016/j.ins.2018.10.022
- [2513] R. Ureña, G. Kou, Y. Dong, F. Chiclana, E. Herrera-Viedma. A review on trust propagation and opinion dynamics in social networks and group decision making frameworks. Information Sciences, Volume 478, (2019) 461-475.
- [2516] N. Capuano, F. Chiclana, E. Herrera-Viedma, H. Fujita, V. Loia. Fuzzy Group Decision Making for Influence-Aware Recommendations. Computers in Human Behavior, Volume 101, December 2019, Pages 371-379.. doi: 10.1016/j.chb.2018.11.001
- [2523] A. Gómez-Ríos, S. Tabik, J. Luengo, ASM. Shihavuddin, B. Krawczyk, F. Herrera. Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Systems with Applications 118 (2019) 315-328. doi: 10.1016/j.eswa.2018.10.010
- [2526] X. Mao, X. Zhao, J. Lin, E. Herrera-Viedma. Utilizing multi-source data in popularity prediction for shop-type recommendation. Knowledge-Based Systems, Volume 165, 1 February 2019, Pages 253-267. doi: 10.1016/j.knosys.2018.11.033
- [2534] J.A. Morente-Molinera, G. Kou, K. Samuylov, R. Ureña, E. Herrera-Viedma. Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions. Knowledge-Based Systems, 165, 335-345. doi: 10.1016/j.knosys.2018.12.006
- [2543] I. Triguero, D. García-Gil, J. Maillo, J. Luengo, S. García, F. Herrera. Transforming big data into smart data: An insight on the use of the k nearest neighbors algorithm to obtain quality data. Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery. e1289. doi: 10.1002/widm.1289
- [2544] C-C Li, Y. Dong, Y. Xu, F. Chiclana, E. Herrera-Viedma, F. Herrera. An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions. Information Fusion, Vol. 52, 2019, Pages 143-156..
- [2545] X. Liu, Y. Xu, R. Montes, R. Ding, F. Herrera. Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 27:1, 159-171, January 2019. doi: 10.1109/TFUZZ.2018.2876655
- [2554] X. Liu, Y. Xu, R. Montes, Y. Dong, F. Herrera. Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making. Int J Intell Syst. 34:5 (2019) 920-946. doi: 10.1002/int.22081
- [2555] B. Zhang, Y. Dong,E. Herrera-Viedma. Group decision making with heterogeneous preference structures: An automatic mechanism to support consensus reaching. Group Decision & Negotiation, 28:3, 585-617, 2019..
- [2556] F.M.A. Alias, L. Abdullah, H. Liao, E. Herrera-Viedma. Consistent Fuzzy Preference Relation with Geometric Bonferroni Mean: A Fused Preference Method for Assessing the Quality of Life. Applied Intelligence 49 (2019) 2672–2683. doi: 10.1007/s10489-019-01415-6
- [2557] D. García-Gil, J. Luengo, S. García, F. Herrera. Enabling smart data: noise filtering in big data classification. Information Sciences 479, 135-152. doi: 10.1016/j.ins.2018.12.002
- [2561] R. Urena, G. Kou, J. Wu, F. Chiclana, E. Herrera-Viedma. Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type 2 Fuzzy Sets. Int. J. of Intelligent Systems, 2019;34:1261-1280..
- [2562] J.R. López-Robles, J.R. Otegi-Olaso, I. Porto-Gómez, M.J. Cobo. 30 Years of Intelligence Models in Management and Business: A Bibliometric Review. International Journal of Information Management, 48, pp 22-38 (2019). doi: 10.1016/j.ijinfomgt.2019.01.013
- [2563] J.A. Moral-Muñoz, A.G. López-Herrera, E. Herrera-Viedma, M.J. Cobo. Science mapping analysis software tools: a review. In: W. Glaenzel, H.F. Moed, U. Schmoch, M. Thelwall (eds.): Springer Handbook of Science and Technology Indicators, Springer International Publishing, 2019. ISBN 978-3-030-02510-6. doi: 10.1007/978-3-030-02511-3_7
- [2564] L. Ruiz-González, D. Lucena-Antón, A. Salazar, R. Martín-Valero, J.A. Moral-Muñoz. Physical Therapy in Down Syndrome: Systematic review and Meta-analysis. Journal of Intellectual Disability Research.
- [2568] A. Castillo, S. Tabik, F. Pérez, R. Olmos, F. Herrera. Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330(2019) 151-161. doi: 10.1016/j.neucom.2018.10.076
Complementary material - [2571] S. González, S. García, S-T. Li, F. Herrera. Chain based sampling for monotonic imbalanced classification. Information Sciences 474 (2019) 187-204. doi: 10.1016/j.ins.2018.09.062
- [2575] M. López, A. Valdivia, E. Martínez-Cámara, M.V. Luzón, F. Herrera. E2SAM: Evolutionary Ensemble of Sentiment Analysis Methods for Domain Adaptation. Information Sciences, 480 (2019) 273-286. doi: 10.1016/j.ins.2018.12.038
Read the paper - [2620] V. Perez-Cabezas, C. Ruiz-Molinero, B. Nuñez-Moraleda, J.J. Jimenez-Rejano, R. Chillon-Martinez, J.A. Moral-Muñoz. Guillain-Barre Syndrome and Zika infection: Identifying leading producers, countries relative specialization, and collaboration. FEMS Microbiology Letters.
- [2624] F.J. Cabrerizo, I.J. Pérez, J.A. Morente-Molinera, S. Alonso, E. Herrera-Viedma. An adaptive feedback mechanism for consensus reaching processes based on individuals' credibility. Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS 52), Maui, Hawaii (USA), 1678-1687, January 8-11, 2019.
- [2628] M. Jiménez, I. Triguero, R. John. Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification. Information Sciences 479, 301-320. doi: 10.1016/j.ins.2018.12.011
- [2642] B. Farhadinia, E. Herrera-Viedma. Multiple criteria group decision making method based on extended hesitant fuzzy sets with unknown weight information. Applied Soft Computing, 78, 2019, 310-323..
- [2639] R. Tickle, I. Triguero, GP. Figueredo, M. Mesgarpour, R. John. PAS3-HSID: A Dynamic Bio-Inspired Approach for Real-time Hot Spot Identification in Data Streams. Cognitive Computation 11 (3), 434-458.
- [2640] J.M. Soto-Hidalgo, A. Vitiello, J.M. Alonso, G. Acampora, J. Alcalá-Fdez. Design of Fuzzy Controllers for Embedded Systems With JFML. International Journal of Computational Intelligence Systems 12:1 (2019) 204-214. doi: 10.2991/ijcis.2019.125905646
- [2641] J. Tang, F. Meng, F.J. Cabrerizo, E. Herrera-Viedma. A procedure for group decision making with interval-valued intuitionistic linguistic fuzzy preference relations. Fuzzy Optimization and Decision Making 18:4 (2019) 493-527. doi: 10.1007/s10700-019-09304-w
- [2662] A. Valdivia. Sentiment analysis based methods for cultural monuments. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada..
Advisor: F. Herrera, M.V. Luzón - [2663] P. Lázaro-Rodríguez, J. López-Gijón, E. Herrera-Viedma. Secaba-Rank a examen: validación de su metodología sobre eficiencia en bibliotecas versus la técnica Data Envelopment Analysis (DEA) y el método Finlandia. El profesional de la Información, v. 28, n. 3, e280316. doi: 10.3145/epi.2019.may.16
- [2666] J.A. Morente-Molinera, S.Ríos-Aguilar, R. González-Crespo, E. Herrera-Viedma. Dealing with group decision making environments that have a high amount of alternatives using card-sorting techniques. Expert systems with applications 127 (2019) 187-198.
- [2667] JR. Cano, J. Luengo, S. García. Label Noise Filtering Techniques to Improve Monotonic Classification. Neurocomputing 353: 83-95 (2019). doi: 10.1016/j.neucom.2018.05.131
- [2668] Y. Dong, Y. Fan, H. Liang, F. Chiclana, E. Herrera-Viedma. Preference evolution with deceptive interactions and heterogeneous trust in bounded confidence model: A simulation analysis. Knowledge-Based Systems. 175, 2019, 87-95..
- [2670] H. Liao, L. Abdullah, N. Zulkifli, E. Herrera-Viedma, A. Al-Barakati. An interval-valued intuitionistic fuzzy DEMATEL method combined with Choquet integral for sustainable solid waste management. Engineering Applications of Artificial Intelligence, 82, 207-215, 2019..
- [2672] J.A. Moral-Muñoz, L. Carballo-Costa, E. Herrera-Viedma, M.J. Cobo. Production trends, collaboration, and main topics of the Integrative & Complementary Oncology research area: A bibliometric analysis. Integrative Cancer Therapies 18 (2019) 1-14. doi: 10.1177/1534735419846401
- [2674] H. Ordoñez, J. Torres-Jimenez, C.Cobos, A. Ordoñez, E. Herrera-Viedma, Gildardo Maldonado-Martinez. A business process clustering algorithm using incremental covering arrays to explore search space and balanced Bayesian information criterion to evaluate quality of solutions. PLoS ONE 14:6 (2019) e021768. doi: 10.1371/journal.pone.0217686
- [2675] N. Robinson-Garcia, D. Torres-Salinas, E. Herrera-Viedma, D. Docampo. Mining university rankings: Publication output and citation impact as their basis. Research Evaluation, 28:3, 2019, 232–240..
- [2676] W. Xie, Z. Xu, Z. Ren, E. Herrera-Viedma. Expanding grey relational analysis with the comparable degree for dual probabilistic multiplicative linguistic term sets and its application on the cloud enterprise. IEEE Access, Vol. 7 (2019) pp. 75041 - 75057.
- [2677] J.A. Moral-Muñoz, W. Zhang, M.J. Cobo, E. Herrera-Viedma, D.B. Kaber. Smartphone-based systems for physical rehabilitation applications: A systematic review. Assistive Technology, 33:4 (2019) 223-236. doi: 10.1080/10400435.2019.1611676
- [2680] H. Ordoñez, J. Torres-Jimenez, C. Cobos, A. Ordoñez, E. Herrera-Viedma, G. Maldonado-Martinez. A Business Process Clustering Algorithm Using Incremental Covering Arrays to Explore Search Space and Balanced Bayesian Information Criterion to Evaluate Quality of Solutions. PLoS ONE 14(6): e0217686. https://doi.org/10.1371/journal.pone.0217686..
- [2681] C. Moreno, R. A. Carrasco, E. Herrera-Viedma. Data and Artificial Intelligence Strategy: A Conceptual Enterprise Big Data Cloud Architecture to Enable MarketOriented Organisations. International Journal of Interactive Multimedia and Artificial Intelligence, 5:6 (2019) pp. 7-14. doi: 10.9781/ijimai.2019.06.003
- [2684] X. Mi, J. Li, H. Liao, E.K.Zavadskas, A. Al-Barakati, O. Taylan, E. Herrera-Viedma. Hospitality brand management by a score-based q-rung orthopair fuzzy VIKOR method integrated with the best worst method. Economic Research-Ekonomska Istraživanja 32:1 (2019) 3272-3301. doi: 10.1080/1331677X.2019.1658533
- [2685] O. Krejcar, P. Maresova, A. Selamat, F. Jose Melero, S. Barakovic, J. Barakovic-Husic, E. Herrera-Viedma, R. Frischer, K. Kuca. Smart Furniture as a Component of a Smart City - Definition Based on Key Technologies Specification. IEEE Access 7 (2019) 94822-94839. doi: 10.1109/ACCESS.2019.2927778
- [2686] Bio-inspired computation: Where we stand and what's next. J. Del Ser, E. Osaba, D. Molina, X.S. Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P.N. Suganthan, C.A. Coello Coello, F. Herrera. Swarm and Evolutionary Computation, 48 (2019) 220-250.. doi: 10.1016/j.swevo.2019.04.008
- [2687] F. Blanco-Mesa, E. León-Castro, J. M. Merigó, E. Herrera-Viedma. Variances with Bonferroni means and ordered weighted averages. International Journal of Intelligent Systems 34:11 (2019) 3020-3045. doi: 10.1002/int.22184
- [2688] X. Liu, Y. Xu, R. Montes, F. Herrera. Social network group decision making: Managing self-confidence based consensus model with dynamic importance degree of experts and trust-based feedback mechanism. Information Sciences 505 (2019) 215-232. doi: j.ins.2019.07.050
- [2689] Y. Xu, Y. Xi, F.J. Cabrerizo, E. Herrera-Viedma. An alternative consensus model of additive preference relations for group decision making based on the ordinal consistency. International Journal of Fuzzy Systems 21:6 (2019) 1818-1830. doi: 10.1007/s40815-019-00696-w
- [2690] J. Del Ser, E. Osaba, D. Molina, Xin-She Yang, S. Salcedo-Sanz, D. Camacho, S. Das, P. N.Suganthan, C. A.Coello, F. Herrera. Bio-inspired computation: Where we stand and what's next. Swarm and Evolutionary Computation 48 (2019) 220-250. doi: 10.1016/j.swevo.2019.04.008
- [2691] M. Leon, N. Xiong, D. Molina, F. Herrera. A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. International Journal of Computational Intelligence Systems 12:2 (2019) 795-808. doi: 10.2991/ijcis.d.190711.001
- [2694] Y. Wei, X. Zhao, J. Zou, E. Herrera-Viedma. A location complementing preference based method for location recommendation with cellular data. Knowledge-Based Systems 183 (2019) 104889. doi: 10.1016/j.knosys.2019.104889
- [2695] M.J. Gacto, J.M. Soto-Hidalgo, J. Alcalá-Fdez, R. Alcalá. Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7 (2019) 108916-108939. doi: 10.1109/ACCESS.2019.2933261
- [2696] D. Molina, F. Herrera. Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. 2019 IEEE Congress on Evolutionary Computation, CEC'2019, Wellington (New Zealand), 7-12, June 10-13, 2019. doi: 10.1109/CEC.2019.8789916
- [2697] D. Molina, A.R. Nesterenko, A. LaTorre. Comparing Large-Scale Global Optimization Competition winners in a real-world problem. IEEE Congress on Evolutionary Computation, CEC'2019, Wellington (New Zealand), 351-357, June 10-13, 2019. doi: 10.1109/CEC.2019.8789943
- [2703] J. Alcalá-Fdez, J.M. Alonso, C. Castiello, C. Mencar, J.M. Soto-Hidalgo. Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans (Louisiana, USA), 430-435, June 23-26, 2019.
- [2706] M.J. Basgall, W. Hasperué, M. Naiouf, A. Fernandez, F. Herrera. An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing. M. Naiouf et al. (Eds.): JCC&BD 2019, CCIS 1050, pp. 75–85, 2019. doi: 10.1007/978-3-030-27713-0_7
- [2705] G. Acampora, J. Alcalá-Fdez, R. Siciliano, J.M. Soto-Hidalgo, A. Vitiello. VisualJFML: A Visual Environment for Designing Fuzzy Systems according to IEEE Std 1855-2016. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans (Louisiana, USA), 424-430, June 23-26, 2019.
- [2707] N. Potie, S. Giannoukakos, M. Hackenberg, A. Fernandez. On the Need of Interpretability for Biomedical Applications: Using Fuzzy Models for Lung Cancer Prediction with Liquid Biopsy. 2019 Internacional Conference on Fuzzy Systems (FUZZ-IEEE 2019), New Orleans (USA), 1-6, June 23-26, 2019.
- [2708] A. Fernandez, I. Triguero, M. Galar, F. Herrera. Guest Editorial: Computational Intelligence for Big Data Analytics. Cognitive Computation 11 (2019) 329–330. doi: 10.1007/s12559-019-09647-x
- [2710] J.A. Moral-Muñoz, A. Salazar, D. Lucena-Antón, P. García-Sánchez, M.J. Cobo. Social media attention of the ESI highly cited papers: An Altmetricsbased overview. 17th INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2019) with a Special STI Indicators Conference Track. Roma (Italy), 2-5 September, 2019.
- [2711] M.J. Cobo, J.A. Moral-Munoz, P. García-Sánchez, M. Gutiérrez-Salcedo, E. Herrera-Viedma. Análisis conceptual de la Industría 4.0 basado en redes de co-palabras. Actas de las IV Jornadas Andaluzas de Informática (JAI 2019), Canillas de Aceituno, Málaga (España), pp. 39-42, 27-29Septiembre (2019). ISBN 978-84-17171-54-4.
- [2712] P. García-Sánchez, A. Tonda, A. Fernández-Leiva, C. Cotta, M.J. Cobo. Optimización de agentes para HearthStone utilizando Algoritmos Evolutivos. Actas de las IV Jornadas Andaluzas de Informática (JAI 2019), Canillas de Aceituno, Málaga (España), pp. 27-30, 27-29Septiembre (2019). ISBN 978-84-17171-54-4.
- [2722] F.J. Cabrerizo, J.A. Morente-Molinera, S. Alonso, W. Pedrycz, E. Herrera-Viedma. Managing missing values in intuitionistic reciprocal preference relations: From numeric procedures to granular. The 18th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET_19), Frontiers in Artificial Intelligence and Applications 318, IOS Press, Kuching (Malaysia), 559-572, September 23-25, 2019. doi: 10.3233/FAIA190080
- [2723] J.A. Morente-Molinera, F.J. Cabrerizo, G. Kou, C. Pang, S. Alonso, E. Herrera-Viedma. Organizing Internet opinions to improve their usefulness using Fuzzy Ontologies and sentiment analysis. 6th International Conference on Control, Decision and Information Technologies (CoDIT 2019), Paris (France), 861-866, April 23-26, 2019. doi: 10.1109/CoDIT.2019.8820587
- [2725] F.J. Cabrerizo, J.A. Morente-Molinera, S. Alonso, R. Ureña, E. Herrera-Viedma. Personalización de la información lingüística mediante el paradigma de la computación granular. IV Jornadas Andaluzas de Informática, Canillas de Aceituno, Málaga (Spain), 18-21, September 27-29, 2019.
- [2726] I.J. Pérez, J.A. Morente-Molinera, F.J. Cabrerizo, E. Herrera-Viedma. Un nuevo modelo de consenso adaptativo basado en un sistema de recompensas para gestionar el comportamiento no cooperativo de los expertos. IV Jornadas Andaluzas de Informática, Canillas de Aceituno, Málaga (Spain), 61-64, September 27-29, 2019.
- [2729] F.J. Cabrerizo, J.A. Morente-Molinera, S. Alonso, R. Ureña, E. Herrera-Viedma. Personalized linguistic information: A framework of granular computing. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Studies in Uncertainty Modelling 1, Prague (Czech Republic), 297-304, September 9-13, 2019. doi: 10.2991/eusflat-19.2019.43
- [2730] Q. Zha, Y. Dong, H. Zhang, F Chiclana, E Herrera-Viedma. A Personalized Feedback Mechanism Based on Bounded Confidence Learning to Support Consensus Reaching in Group Decision Making. IEEE Trans. Syst. Man and Cyb: Systems, 51:6 (2019) 3900 - 3910. doi: 10.1109/TSMC.2019.2945922
- [2732] J.A. Morente-Molinera, F.J. Cabrerizo, I.J. Perez, S. Alonso, E. Herrera-Viedma. Extracting group decision making experts' preferences from debate transcriptions using sentiment analysis. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Studies in Uncertainty Modelling 1, Prague (Czech Republic), 22-29, September 9-13, 2019. doi: 10.2991/eusflat-19.2019.4
- [2733] F.J. Cabrerizo, M.A. Martínez, J. López-Gijón, J. Cascón-Katchadourian, E. Herrera-Viedma. Group decision making and soft consensus: Analyzing citation classics by means of H-Classics. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 251-259, November 3-6, 2019. doi: 10.1016/j.procs.2019.11.282
- [2734] R. Heradio, D. Fernández-Amorós, D. Galán, F.J. Cabrerizo, E. Herrera-Viedma. Looking over the research literature on software engineering from 2016 to 2018. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 712-719, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.042
- [2737] A. Tejeda-Lorente, J. Bernabé-Moreno, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019), Procedia Computer Science 162, Granada (Spain), 916-923, November 3-6, 2019. doi: 10.1016/j.procs.2019.12.068
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- [2746] I. A. Rodriguez, R. Ureña, E. Herrera-Viedma. Fuzzy clustering approach for brain tumor tissue segmentation in magnetic resonance images. Soft Computing. 2019, 23:20, pp 10105–10117..
- [2747] F. M. Anira-Alias, L. Abdullah, H. Liao, E. Herrera-Viedma. Consistent Fuzzy Preference Relation with Geometric Bonferroni Mean: A Fused Preference Method for Assessing the Quality of Life. Applied Intelligence, 2019, 49:7, pp 2672–2683..
- [2754] L. Herrera, E. Crisol, R. Montes. A MOOC on universal design for learning designed under the UDL paradigm. Australasian Journal of Educational Technology 35:6 (2019) 30–47. doi: 10.14742/ajet.5532
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- [2818] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. Definición, legislación y normativa para el tratamiento de los documentos históricos generados en la Administración Pública española y andaluza. Revista Española de Documentación Científica 42:4 (2019) e249.. doi: 10.3989/redc.2019.4.1653
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- [2837] R. A. Carrasco, M. F. Blasco, J. García-Madariaga, E. Herrera-Viedma. A Fuzzy Linguistic RFM Model Applied to Campaign Management. International Journal of Interactive Multimedia and Artificial Intelligence 5:4 (2019) pp. 21-27.
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- [3089] I. Cordón, J. Luengo, S. García, F. Herrera, F. Charte. Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing 360: 1-13 (2019). doi: 10.1016/j.neucom.2019.06.006
- [3090] A. Gómez-Ríos, S. Tabik, J. Luengo, A.S.M. Shihavuddin, F. Herrera. Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.. Knowledge-Based Systems 184 (2019). doi: j.knosys.2019.104891
- [3091] B. Montesdeoca, J. Luengo, J. Maillo, D. García-Gil, S. García, F. Herrera. A First Approach on Big Data Missing Values Imputation. IoTBDS 2019: 315-323. doi: 10.5220/0007738403150323
- [3092] D. García-Gil, A. Alcalde-Barros, J. Luengo, S. García, F. Herrera. Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. IoTBDS 2019: 324-331. doi: 10.5220/0007738503240331
2018 (185)
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COMPLEMENTARY MATERIAL to the paper - [2299] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Applied Soft Computing. Volume 67, June 2018, Pages 941-952. doi: 10.1016/j.asoc.2017.05.039
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- [2339] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Assessing web sites quality: a systematic literature review by text and association rules mining. International Journal of Information Management 38:1 (2018) 201-216. doi: 10.1016/j.ijinfomgt.2017.06.007
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OMPLEMENTARY MATERIAL to the paper: datasets, experimental results - [2385] M.J. del Moral, F. Chiclana, J.M. Tapia, E. Herrera-Viedma. A Comparative Study on Consensus Measures in Group Decision Making. Int. J. of Intelligent Systems, 33(8), 1624-1638, 2018.. doi: https://doi.org/10.1002/int.21954
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- [2431] A. Fernandez, S. Garcia, N.V. Chawla, F. Herrera. SMOTE for Learning from Imbalanced Data: Progress and Challenges. Marking the 15-year Anniversary. Journal of Artificial Intelligence Research 61 (2018) 863-905. doi: 10.1613/jair.1.11192
- [2435] J.A. Moral-Muñoz, M. Arroyo-Morales, E. Herrera-Viedma, M.J. Cobo. An Overview of Thematic Evolution of Physical Therapy Research Area from 1951 to 2013. Frontiers in Research Metrics and Analytics, 3:13 (2018). doi: 10.3389/frma.2018.00013
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- [2440] V. Perez-Cabezas, C. Ruiz-Molinero, I. Carmona-Barrientos, E. Herrera-Viedma, M.J. Cobo, J.A. Moral-Muñoz. Highly cited papers in Rheumatology: Identification and conceptual analysis. Scientometrics 116:(2018) 555-568. doi: 10.1007/s11192-018-2712-z
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- [2445] A. González-Briones, J. Prieto, F. De La Prieta, E. Herrera-Viedma, J.M. Corchado. Energy Optimization Using a Case-Based Reasoning Strategy. Sensors 18:3 (2018) 865. doi: 10.3390/s18030865
- [2446] Y. Xu, Q. Wang, F.J. Cabrerizo, E. Herrera-Viedma. Methods to improve the ordinal and multiplicative consistency for fuzzy reciprocal preference relations. Applied Soft Computing 67 (2018) 479-493. doi: 10.1016/j.asoc.2018.03.034
- [2448] J.A. Morente-Molinera, G. Kou, I.J. Pérez, K. Samuylov, A. Selamat, E. Herrera-Viedma. A group decision making support system for the Web: how to work in environments with a high number of participants and alternatives. Applied Soft Computing, 68 (2018) 191-201. doi: 10.1016/j.asoc.2018.03.047
- [2449] D.G. Cañizares, A. Fernandez, F. Herrera, A. Antunes, R. Molina-Ruiz, G. Agüero-Chapin. Surveying Alignment-free Features for Ortholog Detection in Related Yeast Proteomes by using Supervised Big Data Classifiers. BMC Bioinformatics 19:166 (2018) 1-17. doi: 10.1186/s12859-018-2148-8
- [2500] A. Tejeda-Lorente, J. Bernabé-Moreno, J. Herce-Zelaya, C. Porcel, E. Herrera-Viedma. Adapting Recommender Systems to the New Data Privacy Regulations. 17th International Conference on Intelligent Software Methodologies, Tools and Techniques (SoMeT 2018), Granada (Spain), 373-385, September 26-28, 2018. doi: 10.3233/978-1-61499-900-3-373
- [2460] C. Zhang, Xi. Wu, D. Wu, H. Liao, L. Luo, E. Herrera-Viedma. An intuitionistic multiplicative ORESTE method for patients’ prioritization of hospitalization. International Journal of Environmental Research and Public Health (ISSN 1660-4601). vol. 15, no. 4: 777, 2018. doi: 10.3390/ijerph15040777
- [2461] A. Santisteban-Espejo, F. Campos, L. Martin-Piedra, D. Durand-Herrera, J.A. Moral-Muñoz, A. Campos, M.A. Martin-Piedra. Global tissue engineering trends: A scientometric and evolutive study. Tissue Ingineering 24:19-20 (2018) 1504-1517. doi: 10.1089/ten.TEA.2018.0007
- [2462] D. Martín, M. Martínez-Ballesteros, D. García-Gil, J. Alcalá-Fdez, J.C. Riquelme-Santos, F. Herrera. MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems. Knowledge-Based Systems 153 (2018) 176-192. doi: 10.1016/j.knosys.2018.04.037
- [2463] D. Molina, A. LaTorre, F. Herrera. An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cognitive Computation (2018) 10:4, 517-544. doi: 10.1007/s12559-018-9554-0
- [2507] D. Molina, A. LaTorre, F. Herrera. SHADE con una Búsqueda Local Iterativa para Optimización de Alta Dimensionalidad. Actas del XIII Congreso Español en Metaheurísticas y Algoritmos Evolutivos y BioInspirados, Granada, 741-746, Octubre 22-25, 2018.
- [2508] J.R. López-Robles, J.R. Otegi-Olaso, N.K. Gamboa-Rosales, H. Gamboa-Rosales, M.J. Cobo. 60 years of Business Intelligence: a Bibliometric Review from 1958 to 2017. 7th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SoMeT 2018), Granada (Spain), 395-408, September 26-28, 2018. doi: 10.3233/978-1-61499-900-3-395
- [2509] M.J. Cobo, B. Jürgens, V. Herrero-Solana, M.A. Martínez, E. Herrera-Viedma. Industry 4.0: a perspective based on bibliometric analysis. 6th International Conference on Information Technology and Quantitative Management (ITQM 2018), Procedia Computer Science 139, Omaha (Nebraska, US), 364-371, October 20-21, 2018. doi: 10.1016/j.procs.2018.10.278
- [2510] V. Duarte-Martínez, A.G. López Herrera, M.J. Cobo. Identifying conflicts of interest of reviewers using authors bibliometric networks. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA2018), I Workshop en Ciencia de Datos en Redes Sociales (CiDReS2018), Octubre 23-26, 2018.
- [2511] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero. A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro (Brazil), July 8-13. doi: 10.1109/FUZZ-IEEE.2018.8491595
- [2464] J. Redfern, M.J. Cobo, E. Herrera-Viedma. Editorial: Mapping microbiology with scientometrics - help provide a clearer vision of microbiology research around the globe. FEMS Microbiology Letters, 365:9, (2018), fny061. doi: 10.1093/femsle/fny061
- [2469] J.A. Moral-Muñoz, M. Arroyo-Morales, B.F. Piper, A.I. Cuesta-Vargas, L. Díaz-Rodríguez, W.C.S. Cho, E. Herrera-Viedma, M.J. Cobo. Thematic Trends in Complementary and Alternative Medicine Applied in Cancer-Related Symptoms. Journal of Data and Information Science 3:2 (2018) 1-19. doi: 10.2478/jdis-2018-0006
- [2466] I.J. Perez, F.J. Cabrerizo, S. Alonso, Y. C. Dong, F. Chiclana, E. Herrera-Viedma. On Dynamic Consensus Processes in Group Decision Making Problems. Information Sciences 459 (2018) 20-35. doi: 10.1016/j.ins.2018.05.017
- [2467] M. Tang, H. Liao, Z. Wan, E. Herrera-Viedma, M. A. Rosen. Ten Years of Sustainability (2009 to 2018): A Bibliometric Overview. Sustainability, vol. 10, no. 5: 1655, 2018. doi: 10.3390/su10051655
- [2468] J.A. Moral-Muñoz, B. Esteban-Moreno, E. Herrera-Viedma, M.J. Cobo, I.J. Pérez. Smartphone applications to perform body balance assessment: A standardized review. Journal of Medical Systems 42:119 (2018) 1-8. doi: 10.1007/s10916-018-0970-1
- [2470] S. Elhag, A. Fernandez, S. Alshomrani, F. Herrera. Evolutionary Fuzzy Systems: A Case Study for Intrusion Detection Systems. In: J.C. Bansal, P.K. Singh, N.R. Pal (Eds). Evolutionary and Swarm Intelligence Algorithms; Part of the Studies in Computational Intelligence book series (SCI, volume 779), Pages 169-190. doi: 10.1007/978-3-319-91341-4_9
- [2471] Y. Dong, Q. Zha, H. Zhang, G. Kou, H. Fujita, F. Chiclana, E. Herrera-Viedma. Consensus Reaching in Social Network Group Decision Making: Research Paradigms and Challenges. Knowledge-Based Systems, Volume 162, 15 December 2018, Pages 3-13..
- [2472] A. Yazidis, T.M Jonassen, E. Herrera-Viedma. An Aggregation Approach for Solving the Non-linear Fractional Equality Knapsack Problem. Expert Systems with Applications, Volume 110, 15 November 2018, Pages 323-334..
- [2473] M.J. Cobo, W. Wang, S. Laengle, J. M. Merigó, D. Yu and E. Herrera-Viedma. Co-words Analysis of the Last Ten Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2018), Information Processing and Management of Uncertainty in Knowledge-Based Systems (CCIS) 855, pp. 667–677. Cádiz, Spain, June 11th – 15th, 2018. doi: 10.1007/978-3-319-91479-4_55
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- [2475] A. Salazar, H. de Sola, I. Failde, J.A. Moral-Muñoz. Measuring the quality of mobile applications for the management of pain: a standardised review using the mobile app rating scale (MARS). JMIR mHealth and uHealth 6:10 (2018) e10718. doi: 10.2196/10718
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- [2481] E. R. Nuñez-Valdez, D. Quintana, R. González-Crespo, P. Isasi, E. Herrera-Viedma. A recommender system based on implicit feedback for selective dissemination of eBooks. Information Science. Vol. 467 (2018) 87-98. doi: 10.1016/j.ins.2018.07.068
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III Simposio Iberoamericano de Pedagogía Social, ámbitos y retos de la inclusión: Tecnología para la atención a la diversidad. XXI Cátedra Europa Uninorte. Colombia, del 12 al 16 de marzo de 2018..
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- [2491] S. Kublera, W. Derigenta, A. Voisina, J. Robert, Y. Traon, E. Herrera-Viedma. Measuring Inconsistency and Deriving Priorities from Fuzzy Pairwise Comparison Matrices using the Knowledge-based Consistency Index. Knowledge Based Systems, Knowledge-Based Systems 162 (2018) 147–160. doi: 10.1016/j.knosys.2018.09.015
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- [2495] A. Galán-Mercant, J.A. Moral-Muñoz, A. Ortiz, E. Herrera-Viedma, T.M. Tomás. Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adult. 17th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SoMeT 2018), Granada (Spain), September 26-28, 2018.
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- [2504] M. Bustamante, A. Rienzo, R. Osorio, E. Lefranc, M. Duarte, E. Herrera-Viedma, G. Lefranc. Algorithm for processing Mammography: detection of microcalcifications. IEEE Latin America Transactions 16:9 (2018) 2460-2466. doi: 10.1109/TLA.2018.8789569
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- [2558] J. Luengo, D. Sanchez-Tarrago, RC. Prati, F. Herrera. A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. LOPAL '18 Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications. doi: 10.1145/3230905.3230911
- [2560] RC. Prati, J. Luengo, F. Herrera. Emerging topics and challenges of learning fromnoisy data in non-standard classification: A surveybeyond binary class noise. IX Simposio de Teoría y Aplicaciones de la Minería de Datos (TAMIDA 2018) pp. 889-890.
- [2565] N. Zermeño, L. D. del Rosso Calache, R. Montes, F. Herrera. Fuzzy linguistic ranking model for Web Accessibility Test tools. XVIII Conferencia de la Asociación Española para la Inteligencia Artificial. XIX Congreso Español sobre Tecnologías y Lógica Fuzzy (XIX ESTYLF), Granada (Spain), 430-435, October 23-26, 2018..
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- [2585] S. Ramírez-Gallego, S. García, F. Herrera. Online entropy-based discretization for data streaming classification. Future Generation Computer Systems 86, 2018, 59-70. doi: 10.1016/j.future.2018.03.008
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- [2604] A. Valsecchi, S. Damas, O. Cordón. A robust and efficient method for skull-face overlay in computerized craniofacial superimposition. IEEE Transactions on Information Forensics and Security 13:8 (2018) 1960-1974. doi: 10.1109/TIFS.2018.2806939
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- [2606] E. Bermejo. New Developments in Evolutionary Image Registration for Complex 3D Scenarios. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: O. Cordón, M. Chica - [2609] E. Bermejo, M. Chica, S. Damas, S. Salcedo, O. Cordón. Mono-modal Medical Image Registration with Coral Reef Optimization. 13th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2018). Lecture Notes in Artificial Intelligence 10870, Oviedo (Spain), 222-234, June 20-22, 2018.
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- [2611] S. Ramírez-Gallego. Distributed data reduction algorithms for Big Data. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera, S. García
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Advisor: F. Herrera, Y. Dong - [2613] Cascón-Katchadourian, J.. Documentación histórica gráfica granadina. Aplicación de herramientas SIG para mejorar su recuperación: georreferenciación y geolocalización. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: E. Herrera-Viedma, A. A. Ruíz
Bibliography information - [2618] N. Rodríguez Barroso, E. Martínez-Cámara, F. Herrera. SCI2S at TASS 2018: Emotion Classification with Recurrent Neural Networks. In Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN (TASS 2018) co-located with 34nd SEPLN Conference (SEPLN 2018), 2172 (2018) 117-123. ISSN: 1613-0073.
Read the paper - [2619] A. Valdivia, E. Martínez-Cámara, M.V. Luzón, F. Herrera. Resumiendo Opiniones Negativas con Deep Learning y Reglas Descriptivas. In I Workshop en Ciencia de Datos en Redes Sociales (CIDRES 2018) co-located in XVIII Conferencia de la Asociación Española en Inteligencia Artificial (CAEPIA 2018), 1017-1022. Granada (Spain), October 2018.
Read the paper - [2621] C. Zuheros, C.-C. Li, F.J. Cabrerizo, Y. Dong, E. Herrera-Viedma, F. Herrera. Computing with words: Revisiting the qualitative scale. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26:Suppl. 2 (2018) 127-143. doi: 10.1142/S0218488518400147
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- [2623] F.J. Cabrerizo, J.A. Morente-Molinera, S. Alonso, W. Pedrycz, E. Herrera-Viedma. Improving consensus in group decision making with intuitionistic reciprocal preference relations: A granular computing approach. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki (Japan), 1471-1476, October 7-10, 2018. doi: 10.1109/SMC.2018.00256
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- [2626] M. Victor, M. Mondragon, V. Garcia-Diaz, R. González-Crespo, C. Porcel, E. Herrera-Viedma. Adaptive contents for Interactive TV guided by machine learning based on predictive sentiment analysis of data. Soft Computing, 22:8 (2018) 1-22. doi: 10.1007/s00500-017-2530-x
- [2627] S. Tabik, M. Peemen, L. F. Romero. A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study. The Journal of Supercomputing 74:4 (2018) 1580-1608. doi: 10.1007/s11227-017-2184-6
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- [2631] M. Galar, I. Triguero, H. Bustince, F. Herrera. A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. IEEE Congress on Evolutionary Computation (CEC), 1-8. Rio de Janeiro (Brazil), July, 8-13, 2018. doi: 10.1109/CEC.2018.8477878
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- [2633] M. Jiménez, I. Triguero, R. John. A first approach for handling uncertainty in citizen science. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). July 8-13, Rio de Janeiro (Brazil), 2018.
- [2643] C. Li, R. M. Rodríguez, F. Herrera, L. Martínez, Y. Dong. Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index. Information Sciences, 432 (2018) 347-361. doi: 10.1016/j.ins.2017.12.018
- [2644] S. Vluymans, C. Cornelis, F. Herrera, Y. Saeys. Multi-Label Classification using a Fuzzy Rough Neighborhood Consensus. Information Sciences, vol. 433-434 (2018), 96-114.. doi: 10.1016/j.ins.2017.12.034
- [2645] M. Chen, F. Herrera, K. Hwang. Cognitive Computing: Human-Centered Computing with Cognitive Intelligence on Clouds. IEEE Access, 6 (2018) 19774 – 19783. doi: 10.1109/ACCESS.2018.2791469
- [2646] R. M. Rodríguez, Y. Xu, L. Martínez, F. Herrera. Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy.. Journal of multiple-valued logic and soft computing, 30:2-3 (2018) 129-154.
- [2647] G. Acampora, F. Herrera, G. Tortora, A. Vitiello. A multi-objective evolutionary approach to training set selection for support vector machine. Knowledge-Based Systems, 147 (2018) 94-108.. doi: 10.1016/j.knosys.2018.02.022
- [2648] I. Chaturvedi, E. Cambria, R. E. Welsch, F. Herrera. Distinguishing Between Facts and Opinions for Sentiment Analysis: Survey and Challenges. Information Fusion, 44 (2018) 65-77.. doi: 10.1016/j.inffus.2017.12.006
- [2649] F. Charte, A. J Rivera, D. Charte, M. J. del Jesus, F Herrera. Tips, guidelines and tools for managing multi-label datasets: the MLDR. datasets R package and the Cometa data repository. Neurocomputing, 289 (2018) 68-85. doi: 10.1016/j.neucom.2018.02.011
- [2650] X. Gou, Z. Xu, F. Herrera. Consensus Reaching Process for Large-scale Group Decision Making with Double Hierarchy Hesitant Fuzzy Linguistic Preference Relations. Knowledge-Based Systems, 157 (2018) 20-33. doi: 10.1016/j.knosys.2018.05.008
- [2653] B. Krawczyk, M. Galar, M. Wozniak, H. Bustince, F. Herrera. Dynamic ensemble selection for multi-class classification with one class classifiers. Pattern Recognition, 83 (2018) 34-51.. doi: 10.1016/j.patcog.2018.05.015
- [2654] A. Roldan, C. Roldán, F. Herrera.. On a new methodology for ranking fuzzy numbers and its application to real economic data. Fuzzy Sets and Systems, 353 (2018) 86-110. doi: 10.1016/j.fss.2018.04.003
- [2655] H. Liao, X. Wu, X. Liang, J.-B. Yang, D.-L. Xu, F. Herrera. A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowledge-Based Systems, 153 (2018) 65-77. doi: 10.1016/j.knosys.2018.04.022
- [2656] C. Li, R. M. Rodríguez, L. Martínez, Y. Dong, F. Herrera. Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions. Knowledge-Based Systems, 145 (2018), 156-165.. doi: 10.1016/j.knosys.2018.01.011
- [2657] H. C. Liao, X. M. Mi, Z. S. Xu, J. P. Xu, F. Herrera. Intuitionistic fuzzy analytic network process. IEEE Transactions on Fuzzy Systems, 26:5 (2018), 2578-2590. doi: 10.1109/TFUZZ.2017.2788881
- [2658] X. Wu, H. Liao, Z. Xu, A. Hafezalkotob, F. Herrera. Probabilistic Linguistic MULTIMOORA: A Multi-Criteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Transactions on Fuzzy Systems, 26:6 (2018), 3688-3702. doi: 10.1109/TFUZZ.2018.2843330
- [2659] H Liao, XL Wu, XD Liang, J. P. Xu, F Herrera. A new hesitant fuzzy linguistic oreste method for hybrid multicriteria decision making. IEEE Transactions on Fuzzy Systems, 26:6 (2018), 3793-3807. doi: 10.1109/TFUZZ.2018.2849368
- [2660] X. Gou, Z. Xu, H. Liao, F. Herrera. Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment. Computers & Industrial Engineering, 126 (2018) 516-530. doi: 10.1016/j.cie.2018.10.020
- [2661] Z. Fu, X. Wu, H. Liao, F. Herrera. Underground mining method selection with the hesitant fuzzy linguistic gained and lost dominance score method. IEEE Access, 6 (2018), 66442-66458. doi: 10.1109/ACCESS.2018.2878784
- [2664] F.J. Arcos, JM. Soto-Hidalgo, A. Vitiello, G. Acampora, J. Alcalá-Fdez. Interoperability for Embedded Systems in JFML Software: An Arduino-based implementation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro (Brazil), 1-8, July 8-13, 2018.
- [2665] F.J. Arcos, JM. Soto-Hidalgo, A. Vitiello, G. Acampora, J. Alcalá-Fdez. Nuevo Módulo de Conexión Inalámbrico vía Bluetooth con Arduino en la Librería JFML. XIX Congreso Español sobre Tecnologías y Lógica Fuzzy, Granada (España), 233-238, 23-26 Octubre, 2018.
- [2779] J. Albadán-Romero, P. Gaona-García, G. Rolong-Agudelo, C. Montenegro-Marin. R. Gonzalez-Crespo, E. Herrera Viedma. Fuzzy Logic Models for Non-Programmed Decision-Making in Personnel Selection Processes Based on Gamification. Informatica, vol. 29, no. 1, pp. 1-20, 2018..
- [2814] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, J. Alberich. Uses and applications of georeferencing and geolocation in old cartographic and photographic document management. El profesional de la información 27:1 (2018) 202-212. doi: 10.3145/epi.2018.ene.19
- [2815] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, J. Alberich. Revisión, análisis y evaluación de sistemas para la gestión de activos multimedia en organizaciones. Revista Española de Documentación Científica 41:1 (2018) e196. doi: 10.3989/redc.2018.1.1481
- [2816] J. Cascón-Katchadourian, A.A. Ruíz-Rodríguez, A. Quesada-Román. Georreferenciación y publicación web de cartografía antigua en sistemas de información geográficos: requisitos para su evaluación y estudio de caso. Revista General de Información y Documentación 28:1 (2018) 193-212. doi: 10.5209/RGID.60810
- [2822] J. Cascón-Katchadourian. Documentación histórica gráfica granadina. Aplicación de herramientas SIG para mejorar su recuperación: georreferenciación y geolocalización. PhD Dissertation, Department of Information and Communication, University of Granada.
Advisor: A.A. Ruíz-Rodríguez, E. Herrera-Viedma - [2823] J. Cascón-Katchadourian. Granada: Viaje en el tiempo a través de su documentación histórica. I Congreso Nacional de Investigadores en Formación: Fomentando la interdisciplinaridad (JIFFI), Granada (Spain), Junio 20-22, 2018.
- [2831] C. Porcel, A. Ching-López, A. Tejeda-Lorente, J. Bernabé-Moreno, F.J. Cabrerizo, E. Herrera-Viedma, S. Alonso. Análisis de distintas propuestas de sistemas de recomendaciones lingüísticos difusos para personalizar información en bibliotecas digitales. XVIII Conferencia de la Asociacion Española para la Inteligencia Artificial (CAEPIA-2018), Granada (Spain), 365-366, 23-26 October 2018.
2017 (131)
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- [2119] J. Castro, R. Yera, L. Martínez. An empirical study of natural noise management in group recommendation systems. Decision Support Systems 94 (2017) 1–11. doi: 10.1016/j.dss.2016.09.020
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Enlace a la revista completa - [2137] O. Taylan, M.A. Zytoon, A. Morfeq, R. Al-Hmouz, E. Herrera-Viedma. Workplace assessment by fuzzy decision tree and TOPSIS methodologies to manage the occupational safety and health performance in food industries. J. of Intelligent and Fuzzy Systems, 33 (2017) 1209–1224.
- [2139] I. Diaz-Reyes, M. Damas, J.A. Moral-Muñoz, O. Banos. A Classification System to Assess Low Back Muscle Endurance and Activity Using mHealth Technologies. 14th International Work-Conference on Artificial Neural Networks (IWANN2017), Cádiz (Spain), June 14-16, 2017. doi: 10.1007/978-3-319-59147-6_60
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- [2143] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A Pareto Based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. International Journal of Neural Systems 27 (2017) 1750028-1:1750028-21. doi: 10.1142/S0129065717500289
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- [2147] L. Alcaide Muñoz, M.P. Rodríguez Bolivar, M.J. Cobo, E. Herrera-Viedma. Analysing the scientific evolution of e-government using a science mapping approach. Government Information Quarterly 34:3 (2017) 545-555. doi: 10.1016/j.giq.2017.05.002
- [2149] M. De la Flor-Martínez, P. Galindo-Moreno, E. Sánchez-Fernández, E. Adabal, M.J. Cobo, E. Herrera-Viedma. Evaluation of scientific output in Dentistry in Spanish universities. Medicina Oral Patología Oral y Cirugía Bucal, 22:4 (2017), e491-9. doi: doi:10.4317/medoral.21656
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Advisor: J.R. Cano, S. García - [2248] O. Gómez, O. Ibáñez, O. Cordón. Improved image registration in skull–face overlay using expert knowledge. Journal: Progress in Artificial Intelligence 6:4 (2017) 285–298. doi: 10.1007/s13748-017-0124-6
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25/07/2017. Sobresaliente Cum Laude.
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- [2451] M.R. Ureña, F. Chiclana, H. Fujita and E. Herrera-Viedma. Confidence based consensus model for intuitionistic fuzzy preference relations. 4th International Conference on Control, Decision and Information Technologies (CoDIT), Barcelona, 2017, pp. 0742-0747. doi: 10.1109/CoDIT.2017.8102683
- [2455] F.J. Cabrerizo, I.J. Pérez, S. Alonso, E. Herrera-Viedma, J.A. Morente-Molinera, M.R. Ureña. Granulación de la información lingüística para mejorar el consenso. III Jornadas Andaluzas de Informática, Canillas de Aceituno, Málaga (Spain), 25-28, September 22-24, 2017.
- [2456] M.J. Del Moral-Ávila, F. Chiclana-Parrilla, J.M. Tapia Garcia, E. Herrera-Viedma. An Analysis on Consensus Measures in Group Decision Making. 4th International Conference on Control, Decision and Information Technologies (CoDIT17). 5-7/04/2017. Barcelona, Spain..
- [2457] J.M. Tapia Garcia, M.J. Del Moral-Ávila,S. Alonso, E. Herrera-Viedma. A Statistical Study for Quantifier-Guided Dominance and Non-Dominance Degrees for the Selection of Alternatives in Group Decision Making Problems. 10th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2017). 11-15/09/2017. Warsaw, Poland.. doi: 10.1007/978-3-319-66827-7
- [2458] M.J. Del Moral-Ávila, F. Chiclana-Parrilla, J.M. Tapia Garcia, E. Herrera-Viedma. An alternative calculation of the consensus degree in group decision making problems. 5th International Conference on Information Technology and Quantitative Management (ITQM 2017). 8-10/12/2017. New Delhi, India.. doi: 10.1016/j.procs.2017.11.431
- [2483] K. García, E. Gutiérrez, R. Montes. Cuestionarios para la evaluacion de la comunicacion y la satisfaccion al aplicar metodologias flipped classroom combinadas con m-learning en Educacion Superior.. III Congreso Internacional de Educación Mediática y Competencia Digital (CIEMCD), 15-17 junio, 2017..
- [2579] A. Valdivia, M.V. Luzón, F. Herrera. Neutrality in the sentiment analysis problem based on fuzzy majority. The 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy), 1-6, July 9-12, 2017. doi: 10.1109/FUZZ-IEEE.2017.8015751
- [2594] J. Carrasco, S. García, M. M. Rueda, F. Herrera. rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. 12th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2017), Lecture Notes in Computer Science (LNCS 10334) 281-292, Logroño, Spain, June 21-23, 2017. doi: 10.1007/978-3-319-59650-1_24
- [2595] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, J.M. Benítez, F. Herrera. Fast Case-Based Reasoning for Large-Scale Streaming Classification. 8th International Conference of Pattern Recognition Systems (ICPRS 2017), Madrid (Spain), July 11-13, 2017. doi: 10.1049/cp.2017.0150
- [2607] J. Santamaría, E. Bermejo, C. Enríquez, S. Damas, O. Cordón. New Application of 3D VFH Descriptors in Archaeological Categorization: A Case Study. ternational Joint Conference SOCO'17-CISIS'17-ICEUTE'17, León (Spain), 229-236, September 6-8, 2017.
- [2608] M. Chica, R. Chiong, M. T. P. Adam, S. Damas, T. Teubner. An evolutionary trust game for the sharing economy. Proc. 2017 IEEE International Conference on Evolutionary Computation (CEC2017), San Sebastián (Spain), 2510-2517, June 5-8, 2017.
- [2614] P.D. Gutiérrez. Identificación y clasificación biométrica a gran escala basada en huellas dactilares y GPU. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera, M. Lastra
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2016 (120)
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- [1924] José A. Sáez, M. Galar, J. Luengo, F. Herrera. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Information Fusion 27 (2016) 505-636. doi: 10.1016/j.inffus.2015.04.002
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Advisor: F. Herrera, J.M. Benítez - [1849] A. Palacios, L. Sanchez, I. Couso. An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. Neurocomputing 176 (2016) 60-71.
- [2107] D. Peralta, A. Herrera-Poyatos, F. Herrera. Un Estudio sobre el Preprocesamiento para Redes Neuronales Profundas y Aplicación sobre Reconocimiento de Dígitos Manuscritos. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA), September 14-16, 2016.
- [2106] Y. Dong, C-C. Li, F. Chiclana, E. Herrera-Viedma. Average-case consistency measurement and analysis of interval-valued reciprocal preference relations. Knowledge-Based Systems 114C (2016) pp. 108-117.
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COMPLEMENTARY MATERIAL to the paper: software, bibliography, events, etc - [2079] D. Martin, J. Alcalá-Fdez, A. Rosete, F. Herrera. NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules. Information Sciences 355-356 (2016) 208-228. doi: 10.1016/j.ins.2016.03.039
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results, etc - [1949] M. González, C. Bergmeir, I. Triguero, Y. Rodríguez, J.M. Benítez. On the Stopping Criteria for k-Nearest Neighbor in Positive Unlabeled Time Series Classification Problems. Information Sciences 328 (2016) 42-59. doi: 10.1016/j.ins.2015.07.061
- [1954] J.A. Morente-Molinera, R. Wikström, E. Herrera-Viedma, C. Carlsson. An implementation of a linguistic mobile decision support system based on fuzzy ontologies to facilitate knowledge mobilization. Decision Support Systems 81 (2016) 66-75. doi: 10.1016/j.dss.2015.09.001
- [1961] J.A. Morente-Molinera, I.J. Pérez, M.R. Ureña, E. Herrera-Viedma. Creating knowledge databases for storing and sharing people knowledge automatically using group decision making and fuzzy ontologies. Information Sciences 328 (2016) 418-434. doi: 10.1016/j.ins.2015.08.051
- [1962] J.A. Moral-Muñoz, M.J. Cobo, F. Chiclana, A. Collop, E. Herrera-Viedma. Analyzing highly cited papers in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems 17:4 (2016) 993 - 1001. doi: 10.1109/TITS.2015.2494533
- [1964] J. Derrac, F. Chiclana, S. García, F. Herrera. Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. Information Sciences 329 (2016) 144-163. doi: 10.1016/j.ins.2015.09.007
- [1965] Y. Xu, F. Herrera, H. Wang. A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations. Information Sciences 380:20 (2016) 189-205. doi: 10.1016/j.ins.2015.08.034
- [1966] J. Mendel, H. Hagras, H. Bustince Sola, F. Herrera. Comments on “Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wide view on their relationship”[2]. IEEE Transactions on Fuzzy Systems 24:1 (2016) 249-250. doi: 10.1109/TFUZZ.2015.2446508
- [1968] N. Verbiest, J. Derrac, C. Cornelis, S. García, F. Herrera. Evolutionary Wrapper Approaches for Training Set Selection as Preprocessing Mechanism for Support Vector Machines: Experimental Evaluation and Support Vector Analysis. Applied Soft Computing 38 (2016) 10-22. doi: 10.1016/j.asoc.2015.09.006
- [1975] R. Yera, J. Castro, L. Martínez. A fuzzy model for managing natural noise in recommender systems. Applied Soft Computing 40 (2016) 187-198. doi: 10.1016/j.asoc.2015.10.060
source code of the experimentation - [1985] M. de la Flor, P. Galindo-Moreno, E. Sánchez-Fernandez, A. Piatteli, M.J. Cobo, E. Herrera-Viedma. H-classic: A new method to identify classic articles in implant dentistry, periodontics, and oral surgery. Clinical Oral Implants Research 27:10 (2016), 1317–1330. doi: 10.1111/clr.12749
- [1986] R. Heradio, H. Perez-Morago, D. Fernandez-Amoros, F.J. Cabrerizo, E. Herrera-Viedma. A Bibliometric Analysis of 20 Years of Research on Software Product Lines. Information and Software Technology 72 (2016) 1-15. doi: 10.1016/j.infsof.2015.11.004
- [2070] A. Fernandez, M. Elkano, M. Galar, J.A. Sanz, S. Alshomrani, H. Bustince, F. Herrera. Enhancing Evolutionary Fuzzy Systems for Multi-Class Problems: Distance-based Relative Competence Weighting with Truncated Confidences (DRCW-TC). International Journal of Approximate Reasoning 73 (2016) 108-122. doi: 10.1016/j.ijar.2016.02.005
- [1996] S. Ramírez-Gallego, S. García, H. Mouriño Talín, D. Martínez-Rego, V. Bolón-Canedo, A. Alonso-Betanzos, J. M. Benítez, F. Herrera. Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6:1 (2016) 5-21. doi: 10.1002/widm.1173
- [1998] Y. Dong, H. Zhang, E. Herrera-Viedma. Integrating experts' weights generated dynamically into the consensus reaching process and its applications in managing non-cooperative behaviors. Decision Support Systems 84(2016) 1-15.
- [2004] M. Chica, J. Bautista, O. Cordón, S. Damas. A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand. Omega 54:1 (2016) 55-68. doi: 10.1016/j.omega.2015.04.003
- [2005] A. Sancho-Asensio, A. Orriols-Puig, J. Casillas. Evolving association streams. Information Sciences 334-335 (2016) 250-272. doi: 10.1016/j.ins.2015.11.043
- [2101] S. Vluymans, I. Triguero, C. Cornelis, Y. Saeys. EPRENNID: An Evolutionary Prototype Reduction Based Ensemble for Nearest Neighbor Classification of Imbalanced Data. Neurocomputing 216 (2016) 596-610. doi: 10.1016/j.neucom.2016.08.026
- [2009] E. Ramentol, I. Gondres, S. Lajes, R. Bello, Y. Caballero, C. Cornelis, F. Herrera. Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Engineering Applications of Artificial Intelligence 48 (2016) 134-139. doi: 10.1016/j.engappai.2015.10.009
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- [2098] P. Morales, J. Luengo, F. Herrera. A First Study on the Use of Boosting for Class Noise Reparation. 11th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2016), Lecture Notes in Computer Science (LNCS) 9648, Seville (Spain), 549-559, April 18-20, 2016. doi: 10.1007/978-3-319-32034-2_46
- [2011] B. Krawczyk, M. Galar, L. Jelén, F. Herrera. Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing 38 (2016) 714-726. doi: 10.1016/j.asoc.2015.08.060
- [2013] S. Vluymans, D. Sanchez-Tarrago, Y. Saeys, C. Cornelis, F. Herrera. Fuzzy Multi-Instance Classifiers. IEEE Transactions on Fuzzy Systems 24:6 (2016) 1395-1409. doi: 10.1109/TFUZZ.2016.2516582
- [2014] S. García, J. Luengo, F. Herrera. Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowledge-Based Systems 98 (2016) 1–29. doi: 10.1016/j.knosys.2015.12.006
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [2015] R.M. Rodríguez, B. Bedregal, H. Bustince, Y.C. Dong, B. Farhadinia, C. Kahraman, L. Martínez, V. Torra, Y.J. Xu, Z.S. Xu, F. Herrera. A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress. Information Fusion 29 (2016) 89-97. doi: 10.1016/j.inffus.2015.11.004
- [2016] S. Vluymans, D. Sánchez-Tarragó, Y. Saeys, C. Cornelis, F. Herrera. Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognition 53 (2016) 36-45. doi: 10.1016/j.patcog.2015.12.002
- [2017] H. Bustince, E. Barrenechea, M. Pagola, J. Fernandez, Z. Xu, B. Bedregal, J. Montero, H. Hagras, F. Herrera, B. De-Baets. A historical account of types of fuzzy sets and their relationships. IEEE Transactions on Fuzzy Systems 24:1 (2016) 179-194. doi: 10.1109/TFUZZ.2015.2451692
- [2018] N. Bova, V. Gál, O. Ibáñez, O. Cordón. Deformable models direct supervised guidance: A novel paradigm for automatic image segmentation. Neurocomputing 177 (2016) 317–333. doi: 10.1016/j.neucom.2015.11.023
- [2020] C. Campomanes-Álvarez, O. Ibáñez, O. Cordón. Design of criteria to assess craniofacial correspondence in forensic identification based on computer vision and fuzzy integrals. Applied Soft Computing 46 (2016) 596-612. doi: 10.1016/j.asoc.2015.11.006
- [2052] L.G. Perez, F. Mata, F. Chiclana, G. Kou, E. Herrera-Viedma. Modelling influence in group decision making. Soft Computing 20:4 (2016) 1653-1665. doi: 10.1007/s00500-015-2002-0
- [2071] M. Lozano, F. J. Rodriguez, D. Peralta, C. García-Martínez. Randomized Greedy Multi-Start Algorithm for the Minimum Common Integer Partition Problem. Engineering Applications of Artificial Intelligence 50 (2016) 226-235. doi: 10.1016/j.engappai.2016.01.037
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- [2073] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classifiers in the Framework of Imbalanced Datasets. Information Sciences 354 (2016) 178-196. doi: 10.1016/j.ins.2016.02.056
- [2074] M.R. Ureña, F.J. Cabrerizo, J.A. Morente-Molinera, E. Herrera-Viedma. GDM-R: A new framework in R to support fuzzy group decision making processes. Information Sciences 357 (2016) 161-181. doi: 10.1016/j.ins.2016.03.008
- [2075] D. Peralta, I. Triguero, S. García, F. Herrera, J.M. Benítez. DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases. Information Fusion 32 (2016) 40–51. doi: 10.1016/j.inffus.2016.03.002
- [2076] A. Cid-López, M. J. Hornos, R. A. Carrasco-González, E. Herrera-Viedma. Applying a Linguistic Multi-Criteria Decision-Making Model to the Analysis of ICT Suppliers' Offers. Expert Systems with Applications 57 (2016) 127–138. doi: 10.1016/j.eswa.2016.03.025
- [2077] R. Heradio, L. de la Torre, D. Galan, F.J. Cabrerizo, E. Herrera-Viedma, S. Dormido. Virtual and Remote Labs in Education: a Bibliometric Analysis. Computers & Education 98 (2016) 14–38. doi: 10.1016/j.compedu.2016.03.010
- [2078] C. De Maio, G. Fenza, V. Loia, F. Orciuoli, E. Herrera-Viedma. A Framework for Context-aware Heterogeneous Group Decision Making in Business Processes. Knowledge-Based Systems 102 (2016) 39–50.
- [2080] S. Massanet, J. V. Riera, J.Torrens, E. Herrera-Viedma. A model based on subjective linguistic preference relations for group decision making problems. Information Sciences 2016) 355–356, 249–264.
- [2081] P. Mesejo, O. Ibáñez, O. Cordón, S. Cagnoni. A Survey on Image Segmentation using Metaheuristic-based Deformable Models: State of the Art and Critical Analysis. Applied Soft Computing 44 (2016) 1-29. doi: 10.1016/j.asoc.2016.03.004
- [2082] A. Fernandez, C.J. Carmona, M.J. del Jesus, F. Herrera. A View on Fuzzy Systems for Big Data: Progress and Opportunities. International Journal of Computational Intelligence Systems, 9:1 (2016), 69-80. doi: 10.1080/18756891.2016.1180820
- [2083] S. Moreno, M. Damas, H. Pomares, J.A. Moral-Muñoz, O. Banos. Designing a Gamified System to Support Cancer Patients' Recovery. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2016), Proceedings Extended Abstracts, Granada (Spain), April 20-22, 2016.
- [2084] J.A. Moral-Muñoz. Grado de Institucionalización y Evolución Conceptual de la Fisioterapia: Estado, Relaciones y Líneas de Investigación. PhD Dissertation, Department of Information and Communication, University of Granada.
Advisor: E. Herrera-Viedma, M.J. Cobo, M. Arroyo-Morales - [2085] A. Fernandez, F. Herrera. Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion, Volume 339 of the series Studies in Fuzziness and Soft Computing (2016) 169-200. doi: 10.1007/978-3-319-30421-2_12
- [2087] Y. Dong, H. Zhang, E. Herrera-Viedma. Consensus reaching model in the complex and dynamic MAGDM problem. Knowledge-Based Systems 106 (2016) 206–219. doi: 10.1016/j.knosys.2016.05.046
- [2088] L. Alcaide-Muñoz, M. P. Rodríguez-Bolívar, M.J. Cobo, E. Herrera-Viedma. Science Mapping Tools: their application to e-Government field. 17th Annual International Conference on Digital Government Research (dg.o 2016), Shanghai, China, June 8-10, 2016. doi: 10.1145/2912160.2912172
- [2090] C. Figueroa, H. Ordóñez, J. C. Corrales, C. Cobos, L. K. Wives, E. Herrera-Viedma. Improving Business Process Retrieval Using Categorization and Multimodal Search. Knowledge-Based Systems 110 (2016) 49-59. doi: 10.1016/j.knosys.2016.07.014
- [2092] A. Fernandez, S. Río, F. Herrera. Sistemas de Clasificación Basados en Reglas Difusas para Big Data con MapReduce: Análisis de la Granularidad. XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy. ESTYLF 2016, San Sebastián (Spain), 1-2, May 25-27, 2016.
- [2094] A. Fernandez, M. Galar, E. Barrenechea, H. Bustince, F. Herrera. Ordering-Based Pruning for Improving the Performance of Ensembles of Classiers in the Framework of Imbalanced Datasets. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Salamanca (Spain), 1-2, September 14-16, 2016.
- [2095] A. Fernandez, S. Río, F. Herrera. A First Approach in Evolutionary Fuzzy Systems based on the Lateral Tuning of the Linguistic Labels for Big Data Classification. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), 1-8, July 24-29, 2016.
- [2099] I. Triguero, M. Galar, D. Merino, J. Maillo, H. Bustince, F. Herrera. Evolutionary Undersampling for Extremely Imbalanced Big Data Classification under Apache Spark. IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver (Canada), 640-647, July 24-29. doi: 10.1109/CEC.2016.7743853
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- [2104] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Fuzzy-Citation-KNN: a fuzzy nearest neighbor approach for multi-instance classification. 2016 IEEE World Congress on Computational Intelligence (WCCI 2016). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), pp.946-952, july 24-29, 2016.
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- [2112] S. Moreno, M. Damas, H. Pomares, J.A. Moral-Muñoz, O. Banos. First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients. Smart Ubiquitous Technologies for Human Behaviour Coaching (SUT4Coaching 2016) , Granada (Spain), December 14-16, 2016. doi: 10.1109/IUCC-CSS.2016.024
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December 12-15, 2016 Nancy, France.
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- [2122] J.A. Morente-Molinera, R. Wikström, C. Carlsson, F.J. Cabrerizo, I.J. Pérez, E. Herrera-Viedma. A novel android application design based on fuzzy ontologies to carry out local based group decision making processes. The 13th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2016), Lecture Notes in Computer Science (LNCS) 9880, Sant Julià de Lòria (Andorra), 289-300, Girona (Spain), September 19-21, 2016. doi: 10.1007/978-3-319-45656-0_24
- [2123] R. Heradio, H. Pérez-Morago, D. Fernández-Amorós, R. Bean, F.J. Cabrerizo, C. Cerrada, E. Herrera-Viedma. Binary decision diagram algorithms to perform hard analysis operations on variability models. New Trends in Software Methodologies, Tools and Techniques. Proceedings of the Fifteenth SoMeT 2016, Frontiers in Artificial Intelligence and Applications 286, Larnaca (Cyprus), 139-154, September 12-14, 2016. doi: 10.3233/978-1-61499-674-3-139
- [2124] Z. Ding, H. Liang, Y. Dong, F.Chiclana, E. Herrera-Viedma, F.J. Cabrerizo. An opinion control rule with minimum adjustments to support the consensus reaching in bounded confidence model. 4th International Conference on Information Technology and Quantitative Management (ITQM 2016), Procedia Computer Science 91, Asan (South Korea), 617-624, August 16-18, 2016. doi: 10.1016/j.procs.2016.07.154
- [2125] F.J. Cabrerizo, W. Pedrycz, I.J. Pérez, S. Alonso, E. Herrera-Viedma. Group decision making in linguistic contexts: An information granulation approach. 4th International Conference on Information Technology and Quantitative Management (ITQM 2016), Procedia Computer Science 91, Asan (South Korea), 715-724, August 16-18, 2016. doi: 10.1016/j.procs.2016.07.062
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- [2055] E. Herrera-Viedma, J.V. Riera, S. Massanet, J. Torrens. Some Remarks on the Fuzzy Linguistic Model Based on Discrete Fuzzy Numbers. Some Remarks on the Fuzzy Linguistic Model Based on Discrete Fuzzy Numbers. Intelligent Systems'2014. ISBN: 978-3-319-11312-8. doi: 10.1007/978-3-319-11313-5_29
- [2056] M. Lastra, J. Carabaño, P.D. Gutiérrez, J.M. Benítez, F. Herrera. Fast fingerprint identification using GPUs. Information Sciences. 301 (2015) 195-214. doi: doi:10.1016/j.ins.2014.12.052
- [2057] S. González, F. Herrera, S. García. Managing Monotonicity in Classification by a Pruned Random Forest. Intelligent Data Engineering and Automated Learning (IDEAL 2015), Lecture Notes in Computer Science (LNCS) 9375, 53-60, 2015. doi: 10.1007/978-3-319-24834-9_7
- [2058] M. Lázaro, F. Herrera, A.R. Figueiras-Vidal. Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. Engineering Applications of Neural Networks. Volume 517 of the series Communications in Computer and Information Science pp 304-314 (2015). doi: 10.1007/978-3-319-23983-5_28
- [2060] S. García, J. Luengo, F. Herrera. Data Preprocessing in Data Mining. Intelligent Systems Reference Library. Series Editors: Kacprzyk, Janusz, Jain, Lakhmi C. ISSN: 1868-4394.
- [2061] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163 (2015) 3-16. doi: doi:10.1016/j.neucom.2014.08.091
- [2062] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera. QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), IEEE. 8-11 Sept. 2015 Slamanca. 1-6. doi: 10.1109/EUROCON.2015.7313677
- [2063] S. Ramírez-Gallego, S. Garcia, H. Mourino-Talin, D. Martinez-Rego, V. Bolon-Canedo, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 33-40, August 20-22, 2015. doi: 10.1109/Trustcom.2015.559
- [2064] R.M. Rodriguez, L. Martinez, F. Herrera. A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information. Fuzzy Systems (FUZZ-IEEE), 2015 IEEE International Conference on Istanbul. 2-5 Aug. 2015. 1-7. doi: 10.1109/FUZZ-IEEE.2015.7338016
- [2065] J. Derrac, F. Chiclana, S. García, F. Herrera. An Interval Valued K-Nearest Neighbors Classifier. Proceedings of the International Joint Conference IFSA-EUSFLAT-2015, Gijón, Asturias (Spain). doi: doi:10.2991/ifsa-eusflat-15.2015.55
- [2066] F. Herrera. Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. Hybrid Artificial Intelligent Systems: 10th International Conference, HAIS 2015, Bilbao, Spain, June 22-24, 2015.
- [2067] D. Molina, F. Herrera. Iterative hybridization of DE with local search for the CEC'2015 special session on large scale global optimization. Evolutionary Computation (CEC), 2015 IEEE Congress on Sendai. 25-28 May 2015 1974-1978. doi: 10.1109/CEC.2015.7257127
- [2069] D. Galpert, S. Río, F. Herrera, E. Ancede, A. Antunes, G. Agüero-Chapin. Pairwise Ortholog Detection in Related Yeast Species by Using Big Data Supervised Classifications. MOL2NET, the 1st International Conference on Multidisciplinary Sciences, Sciforum Electronic Conference Series, Vol. 1, 1-10, December 5–15, 2015. doi: 10.3390/MOL2NET-1-e002
- [2131] F.J. Cabrerizo, M.A. Martínez, M. Herrera, E. Herrera-Viedma. Consensus in a fuzzy environment: A bibliometric study. Third International Conference on Information Technology and Quantitative Management (ITQM 2015), Procedia Computer Science 55, Rio de Janeiro (Brazil), 660-667, July 21-24, 2015. doi: 10.1016/j.procs.2015.07.065
- [2517] A. Tejeda-Lorente, C. Porcel, J. Beranbé-Moreno, E. Herrera-Viedma. Recommending scientific papers through a method based on bibliometric measures. 16th World Congress of the International Fuzzy Systems Association (IFSA), 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2015), Gijón (Spain) 498-505, June 30, July 03, 2015.
- [2168] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. In: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. doi: 10.1007/978-3-319-26227-7_5
- [2175] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J. M. Benítez, A. Alonso-Betanzos, F. Herrera. Un Framework de Selección de Características basado en la Teoría de la Información para Big Data sobre Apache Spark. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), 1er Workshop en Big Data y
Análisis de Datos Escalable, November 9-12, 2015.
- [2185] F. Rojas Ruiz, A. Cano, M. Gomez Olmedo, J. Ortega Lopera, F. Herrera, R. Romero Zaliz, J. Gonzalez Peñalver. Máster en Ciencia de Datos e Ingeniería de Computadores: una apuesta por la formación especializada en el sector de las TIC. Journal of Educational Experiences on Computer Engineering (JEECE), Volumen 5, Numero 1, pp. 5-16, 2015, ISSN 2173-8688, Universidad de Granada, Departamento de Arquitectura y Tecnologia de Computadoras.
- [2187] M. Rubio Escudero, R. Romero Zaliz, C. Mañoso, A. de Madrid. Closing the gender gap in an introductory programming course. Computers & Education, Volume 82, pp. 409-420, 2015. doi: 10.1016/j.compedu.2014.12.003
- [2188] F.J. Ariza Lopez, D. Barrera Rosillo, J.F. Reinoso Gordo, R. Romero Zaliz. Fitting B-spline curves for inferring road mean axis from multiple GPS traces. 4ème Conférence Internationale de la Société Marocaine de Mathématiques Appliquées (4ème congrès SM2A), Société Marocaine de Mathématiques Appliquées, Oujda, Marruecos, 12 al 14 de febrero de 2015.
- [2189] F.J. Ariza Lopez, D. Barrera Rosillo, J.F. Reinoso Gordo, R. Romero Zaliz. Inferring mean road axis from big data: sorted points cloud belonging to traces. International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2015), Metz, France, 11 al 13 de mayo de 2015.
- [2192] S. González, F. Herrera, S. García. Clasificación Monotónica mediante poda de Bosques Aleatorios. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Albacete (Spain), November 9-12, 2015.
- [2193] J.F. Reinoso Gordo, M.J. Ibañez, R. Romero Zaliz. Parallelizing drainage network algorithm using free software: Octave as a solution. Méthodes d'Approximation et Modélisation Numérique en Environnement et Ressources Naturelles (MAMERN VI). Pau, France, 1 al 5 de junio de 2015.
- [2194] R. Romero Zaliz, F.F. Reinoso Gordo, D. Barrera Rosillo, F.J. Ariza Lopez. Minimizing the B-spline nodes when determining the representative road axis from a GPS points cloud. 15th Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE 2015), Cadiz, España, del 6 al 10 de julio de 2015.
- [2206] A. Peyaud, A. Angelopoulos, C. Chelmis, V. Costopoulos, M. Chica, I. Giomataris, A. Gongadze, T. Herbert, I. Kantemiris, S. Kirch, J.P. Mols, T. Papaevangelou, P. Pavlopoulos, F. Quinlan. The Forfire photodetector. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 787 (2015) 102-104. doi: 10.1016/j.nima.2014.11.044
- [2214] B.R. Campomanes-Álvarez. New Developments in Craniofacial Superimposition Based on Soft Computing and Computer Vision. PhD dissertation. University of Oviedo.
Advisor: O. Ibáñez, S. Damas, O. Cordón - [2218] R. Montes, M. Gea. Unificación de los recursos de apoyo a la docencia en la Universidad de Granada. Actas del VI Congreso Internacional sobre Accesibilidad y Calidad de la Formación Virtual (CAFVIR 2015), Granada (Spain), pp.289-296, 4-6 febrero, 2015.
- [2247] E. Bermejo, A. León, S. Damas, O. Cordón. Registrado evolutivo de fragmentos craneales en 3D mediante Scatter Search. X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados - MAEB 2015, At Mérida-Almendralejo (Spain), Volume: 1 pp. 91 - 96.
- [2255] P.D. Gutiérrez, M. Lastra, J. Bacardit, J.M. Benítez, F. Herrera. GPU-SME-kNN: kNN escalable y eficiente en memoria utilizando GPU. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), Albacete (Spain), pp. 959-968, 09-12 November, 2015.
- [2257] C. Wei, Z. Ren and R.M. Rodríguez. A Hesitant Fuzzy Linguistic TODIM Method Based on a Score Function. International Journal of Computational Intelligence Systems 8:4 (2015) 701-712. doi: 10.1080/18756891.2015.1046329
- [2264] J. Arnedo, DM. Svrakic , C. del Val, R. Romero Zaliz, H. Hernández-Cuervo; Molecular Genetics of Schizophrenia Consortium., AH. Fanous, MT. Pato, CN. Pato, GA. de Erausquin, CR. Cloninger, I. Zwir. Uncovering the hidden risk architecture of the schizophrenias: confirmation in three independent genome-wide association studies. Journal: American Journal of Psychiatry. 2015 Feb 1;172(2):139-53. doi: 10.1176/appi.ajp.2014.14040435
- [2265] F.J. Estrella, R.M. Rodríguez, L. Martínez. A Hesitant Linguistic Fuzzy TOPSIS Approach Integrated into FLINTSTONES. 16th World Congress of the International Fuzzy Systems Association, Gijón (Spain), 799-806, June 30-July 3, 2015.
- [2266] Das A, V. Bellofatto, J. Rosenfeld, M. Carrington , R. Romero Zaliz, C. del Val, AM. Estévez. High throughput sequencing analysis of Trypanosoma brucei DRBD3/PTB1-bound mRNAs. Journal:Molecular and Biochemical Parasitology. 2015 Jan-Feb;199(1-2):1-4. doi: 10.1016/j.molbiopara.2015.02.003
- [2269] Cournia,TW.Allen, I. Andricioaei, B.Antonny, D. Baum, G. Brannigan,NV.Buchete,JT. Deckman, L.Delemotte,C. del Val,R. Friedman, P.Gkeka,HC. Hege, J. Hénin,MA. Kasimova,A. Kolocouris,ML. Klein,S. Khalid. Membrane Protein Structure, Function, and Dynamics: a Perspective from Experiments and Theory. Journal:Journal of Membrane Biology. 2015 Aug;248(4):611-40. doi: 10.1007/s00232-015-9802-0
- [2270] F.J. Estrella, R.M. Rodríguez, Á. Labella, L. Martínez. Un Sistema Basado en FLINTSTONES para Procesos de Selección Mediante un Modelo Difuso TOPSIS. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA’15), Albacete (Spain), November 9-12, 2015.
- [2271] R.M. Rodríguez, F.J. Estrella, L. Martínez. Modelo Difuso TOPSIS que Maneja Información Lingüística Dudosa en Contextos Heterogéneos. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA’15), Albacete (Spain), November 9-12, 2015.
- [2272] DC. Garcia-Ramon, MJ. Luque-Navas, CA. Molina, C. del Val, A: Osuna, S. Vilchez. Identification, sequencing and comparative analysis of pBp15.S plasmid from the newly described entomopathogen Bacillus pumilus 15.1. Journal:Plasmid. 2015 Nov;82:17-27. doi: 10.1016/j.plasmid.2015.09.001
- [2275] DC. García Ramón. Caracterización genética y molecular de una cepa entomopatógena activa frente a la mosca de la fruta del Mediterráneo (Ceratitis capitata) para la búsqueda de factores de virulencia. Tesis: PhD Dissertation,Departamento de Bioquímica y Biología Molecular 1, University of Granada.
Advisor: S. Vilchez, C. del Val - [2277] F.J. Cabrerizo, M.R. Ureña, J.A. Morente-Molinera, W. Pedrycz, F. Chiclana, E. Herrera-Viedma. A new selection process based on granular computing for group decision making problems. In: H. Fujita and A. Selamat (eds.): Intelligent Software Methodologies, Tools and Techniques, Communications in Computer and Information Science 513, Springer, 2015, 13-24. ISBN: 978-3-319-17529-4. doi: 10.1007/978-3-319-17530-0_2
- [2281] J. Arnedo, D. Mamah, D.A. Baranger, D.M. Svrakic, G.A. De Erausquin, C.R. Cloninger, I. Zwir. Decomposition of brain diffusion imaging data uncovers latent schizophrenias with distinct patterns of white matter anisotropy. Neuroimage 2015 Oct 15;120:43-54. doi: 10.1016/j.neuroimage.2015.06.083
- [2305] Mohamed Habib Kammoun. Hybrid MultiAgent Road Traffic Management System: Assets of Ant-Hierarchical Fuzzy Behavior in System Adaptativity. PhD Dissertation, National Engineering School of Sfax, University of Sfax, Tunisia.
Advisor: I. Kallel, J. Casillas, A. M. Alimi - [2343] Alicia D. Benítez Yáñez. "Multiobjective Evolutionary Learning of Hierarchical Fuzzy Systems and their Application in Astrophysics. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: J. Casillas - [2382] E. Herrera-Viedma, J. Bernabé-Moreno, C. Porcel, M.A. Martínez. Solidarity in Social Media: when users abandon their comfort zone - The Charlie Hebdo case. Revista ICONO14 13:2 (2015) 6-22. doi: 10.7195/ri14.v13i2.888
- [2615] B. Lacroix. Region-based memetic algorithms for global and multimodal continuous optimisation. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: D. Molina and F. Herrera
Bibliography information - [2616] F. Charte. New hybrid computing flexible methods for multilabel classification. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: A. Rivera, M. J. del Jesus and F. Herrera - [2617] L. S. Riza. Data science and Big Data Processing in R: representations and software. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: J.M. Benítez and F. Herrera
Bibliography information - [2877] D. Martín, M. Martínez-Ballesteros, S. Río, J. Alcalá-Fdez, J. Riquelme, F. Herrera. MOPNAR-BigData: un diseno MapReduce para la extracción de reglas de asociación cuantitativas en problemas de Big Data. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2015), 979-989, November 9-12, 2015.
2014 (122)
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COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [1697] C. García-Martínez, F. Glover, F. J. Rodriguez, M. Lozano, R. Martí. Strategic Oscillation for the Quadratic Multiple Knapsack Problem . Computational Optimization and Applications 58:1 (2014) 161-185. doi: 10.1007/s10589-013-9623-y
- [1557] José A. Sáez, M. Galar, J. Luengo, F. Herrera. Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition. Knowledge and Information Systems 38:1 (2014) 179-206. doi: 10.1007/s10115-012-0570-1
COMPLEMENTARY MATERIAL to the paper - [1581] M. Lozano, F. Glover, C. García-Martínez, F. J. Rodriguez, R. Martí. Tabu Search with Strategic Oscillation for the Quadratic Minimum Spanning Tree. IIE Transactions 46:4 (2014) 1-5 .
- [1588] V. López, I. Triguero, C.J. Carmona, S. García, F. Herrera. Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID. Neurocomputing 126 (2014) 15-28. doi: 10.1016/j.neucom.2013.01.050
- [1626] B.R. Campomanes-Álvarez, O. Cordón, S. Damas, O. Ibáñez. Computer-based craniofacial superimposition in forensic identification using soft computing. Journal of Ambient Intelligence and Humanized Computing, 5:5 (2014) 683-697. doi: 10.1007/s12652-012-0168-1
- [1637] I.J. Pérez, F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma. A New Consensus Model for Group Decision Making Problems with Non Homogeneous Experts. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44:4 (2014) 494-498. doi: 10.1109/TSMC.2013.2259155
- [1638] E. Herrera-Viedma, F.J. Cabrerizo, J. Kacprzyk, W. Pedrycz. A Review of Soft Consensus Models in a Fuzzy Environment. Information Fusion 17 (2014) 4-13. doi: 10.1016/j.inffus.2013.04.002
- [1642] I. Palomares, L. Martínez, F. Herrera. A Consensus Model to Detect and Manage Non-Cooperative Behaviors in Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 22:3 (2014) 516–530. doi: 10.1109/TFUZZ.2013.2262769
- [1646] I. Triguero, José A. Sáez, J. Luengo, S. García, F. Herrera. On the Characterization of Noise Filters for Self-Training Semi-Supervised in Nearest Neighbor Classification. Neurocomputing 132 (2014) 30-41. doi: 10.1016/j.neucom.2013.05.055
- [1648] P. Shelokar, A. Quirin, O. Cordón. Three-Objective Subgraph Mining using Multiobjective Evolutionary Programming. Journal of Computer and System Sciences 80:1 (2014) 16-26.
- [1660] S. Massanet, J.V. Riera, J. Torrens, E. Herrera-Viedma. A new linguistic computational model based on discrete fuzzy numbers for computing with words. Information Sciences 258 (2014) 277-290. doi: 10.1016/j.ins.2013.06.055
- [1659] I. Palomares, L. Martínez, F. Herrera. MENTOR: A Graphical Monitoring Tool of Preferences Evolution in Large-Scale Group Decision Making. Knowledge-based Systems 58 (2014) 66–74. doi: 10.1016/j.knosys.2013.07.003
- [1665] C. García-Martínez, F. J. Rodriguez, M. Lozano. Tabu-Enhanced Iterated Greedy Algorithm: A Case Study in the Quadratic Multiple Knapsack Problem. European Journal of Operational Research 232:3 (2014) 454–463. doi: 10.1016/j.ejor.2013.07.035
- [1667] M. Restrepo, C. Cornelis, J. Gómez. Duality, Conjugacy and Adjointness of Approximation Operators in Covering Based Rough Sets. International Journal of Approximate Reasoning 55:1 (2014) 469-485. doi: 10.1016/j.ijar.2013.08.002
- [1670] D. Peralta, I. Triguero, R. Sanchez-Reillo, F. Herrera, J.M. Benítez. Fast Fingerprint Identification for Large Databases. Pattern Recognition 47:2 (2014) 588–602. doi: 10.1016/j.patcog.2013.08.002
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [1671] C. Cornelis, J. Medina, N. Verbiest. Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection. International Journal of Approximate Reasoning 55:1 (2014) 412-426. doi: 10.1016/j.ijar.2013.09.007
- [1672] V. López, A. Fernandez, F. Herrera. On the Importance of the Validation Technique for Classification with Imbalanced Datasets: Addressing Covariate Shift when Data is Skewed. Information Sciences 257 (2014) 1-13. doi: 10.1016/j.ins.2013.09.038
- [1673] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules. Information Sciences 258 (2014) 1-28. doi: 10.1016/j.ins.2013.09.009
- [1674] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. A New Multi-Objective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Transactions on Evolutionary Computation 18:1 (2014) 54-69. doi: 10.1109/TEVC.2013.2285016
- [1677] M.J. Cobo, F. Chiclana, A. Collop, J. de Oña, E. Herrera-Viedma. A Bibliometric Analysis of the Intelligent Transportation Systems Research Based on Science Mapping. IEEE Transactions on Intelligent Transportation Systems, 11:2, pp. 901-908 (2014). doi: 10.1109/TITS.2013.2284756
- [1678] M.A. Martínez, M. Herrera, J. López-Gijón, E. Herrera-Viedma. H-Classics: Characterizing the Concept of Citation Classics Through H-index. Scientometrics, 98 (2014) 1971-1983. doi: 10.1007/s11192-013-1155-9
- [1708] F. Charte Ojeda, A. Rivera, M.J. del Jesus, F. Herrera. LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multi-label Classification. IEEE Transactions on Neural Networks and Learning Systems, 25:10 (2014) 1842-1854. doi: 10.1109/TNNLS.2013.2296501
- [1687] J.M. García-Torres, S. Damas, O. Cordón, J. Santamaría. A case study of innovative population-based algorithms in 3D modeling: Artificial bee colony, biogeography-based optimization, harmony search. Expert Systems with Applications 41:4 (2014) 1750-1762.
- [1702] A. Tejeda-Lorente, C. Porcel, E. Peis, R. Sanz, E. Herrera-Viedma. A quality based recommender system to disseminate information in a University Digital Library. Information Sciences 261 (2014) 52-69. doi: 10.1016/j.ins.2013.10.036
- [1742] S. Río, V. López, J.M. Benítez, F. Herrera. On the use of MapReduce for Imbalanced Big Data using Random Forest. Information Sciences 285 (2014) 112-137. doi: 10.1016/j.ins.2014.03.043
COMPLEMENTARY MATERIAL to the paper - [1703] P.D. Gutiérrez, M. Lastra, F. Herrera, J.M. Benítez. A high performance fingerprint matching system for large databases based on GPU. IEEE Transactions on Information Forensics and Security 9:1 (2014) 62-71. doi: 10.1109/TIFS.2013.2291220
- [1706] B. Lacroix, D. Molina, F. Herrera. Region based memetic algorithm for real-parameter optimisation. Information Sciences, 262 (2014) 15-31. doi: 10.1016/j.ins.2013.11.032
- [1709] M, Galar, A. Fernandez, E. Barrenechea, F. Herrera. Empowering difficult classes with a Similarity-based aggregation in multi-class classification problems. Information Sciences 264 (2014) 135-157. doi: 10.1016/j.ins.2013.12.053
- [1716] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Diseño de un Sistema de Clasificación Basado en Reglas Difusas para one-class mediante el aprendizaje genético de la base de datos. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 621-626, 5-7 Febrero, 2014.
- [1791] José A. Sáez, J. Derrac, J. Luengo, F. Herrera. Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognition 47:12 (2014) 3941–3948. doi: 10.1016/j.patcog.2014.06.012
COMPLEMENTARY MATERIAL to the paper - [1721] C. Bergmeir, M. Costantini, J.M. Benítez. On the usefulness of cross-validation for directional forecast evaluation. Computational Statistics and Data Analysis 76 (2014) 132-143. doi: 10.1016/j.csda.2014.02.001
- [1722] J. Otero, L. Sánchez, I. Couso, A. Palacios. Bootstrap analysis of multiple repetitions of experiments using an interval valued multiple comparison procedure. Journal of Computer and System Sciences 80 (2014) 88-100 .
- [1848] J. Otero, A. Palacios, R. Suarez, L. Junco, I. Couso, L. Sanchez. A procedure for extending input selection algorithms to low quality data in modelling problems with application to the automatic grading of uploaded assignments. The Scientific World Journal. doi: 10.115/2014/468405
- [1729] Liao Tianjun, D. Molina, Marco A. Montes de Oca, Thomas Stützle. A Note on Bound Constraints Handling for the IEEE CEC’05 Benchmark Function Suite. Evolutionary Computation 22:2 (2014) 351-359. doi: 10.1162/EVCO_a_00120
- [1731] M.J. Cobo, M.A. Martínez, A.G. López-Herrera, E. Herrera-Viedma. Identifying citation classics in fuzzy set field using the concept of h-classics. Proceedings of the XVII Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2014), pp. 529-534. ISBN: 978-84-15688-76-1, Zaragoza (Spain), 5-7 February 2014.
- [1732] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences 276 (2014) 63-79. doi: 10.1016/j.ins.2014.02.047
- [1733] F.J. Cabrerizo, R. Heradio, D. Fernández-Amorós, M. Herrera, M.R. Ureña, E. Herrera-Viedma. Un modelo para evaluar la calidad de las bibliotecas 2.0 usando computación con palabras. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), 499-504, 5-7 February, 2014.
- [1735] J.A. Moral-Muñoz, M.J. Cobo, E. Peis, M. Arroyo-Morales, E. Herrera-Viedma. Analyzing the research in Integrative & Complementary Medicine by means of science mapping. Complementary Therapies in Medicine, 22:2, pp. 409-418 (2014). doi: 10.1016/j.ctim.2014.02.003
- [1736] D.S. Tarragó, C. Cornelis, R. Bello, F. Herrera. A Multi-Instance Learning Wrapper based on the Rocchio Classifier for Web Index Recommendation. Knowledge-Based Systems 59 (2014) 173-181. doi: 10.1016/j.knosys.2014.01.008
- [1740] D. Peralta, M. Galar, I. Triguero, O. Miguel-Hurtado, J.M. Benítez, F. Herrera. Minutiae Filtering to Improve Both Efficacy and Efficiency of Fingerprint Matching Algorithms. Engineering Applications of Artificial Intelligence, 32 (2014) 37-53. doi: 10.1016/j.engappai.2014.02.016
- [1741] Nicolás Robinson-García, Daniel Torres-Salinas, Emilio Delgado López-Cózar, F. Herrera. An insight into the importance of national university rankings in an international context: The case of the I-UGR Rankings of Spanish universities. Scientometrics 101 (2014) 1309–1324. doi: 10.1007/s11192-014-1263-1
- [1745] L. D’eer, N. Verbiest, C. Cornelis, L. Godo. Modelos de Conjuntos Rugosos Difusos Tolerantes al Ruido: Definiciones y Propiedades. Proceedings of XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2014), p. 27-32, 2014.
- [1756] J.A. Morente-Molinera, M.R. Ureña, E. Herrera-Viedma. Plataforma Web 2.0 para la gestión de toma de decisiones en centros educativos. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014).
- [1757] I.J. Pérez, J.A. Morente-Molinera, W. Wikström, J. Mezei, C. Carlsson, E. Herrera-Viedma. A new linguistic consensus model based on a fuzzy ontology as weapon of influence. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014).
- [1758] D. Gomez-Lorente, I. Triguero, C. Gil, O. Rabaza. Multi-Objective Evolutionary Algorithms for the Design of Grid- Connected Solar Tracking Systems. International Journal of Electrical Power and Energy Systems, 61 (2014) 371-379. doi: 10.1016/j.ijepes.2014.03.064
- [1760] F.J. Cabrerizo, M.R. Ureña, W. Pedrycz, E. Herrera-Viedma. Building consensus in group decision making with an allocation of information granularity. Fuzzy Sets and Systems 255 (2014) 115-127. doi: 10.1016/j.fss.2014.03.016
- [1761] B. Esteban, A. Tejeda-Lorente, C. Porcel, M. Arroyo, E. Herrera-Viedma. TPLUFIB-WEB: A fuzzy linguistic Web system for treatment and prevention of low back pain. Knowledge-based Systems, 67 (2014) 429-438. doi: 10.1016/j.knosys.2014.03.004
- [1762] A. Tejeda-Lorente, C. Porcel, J. Bernabé-Moreno, M.A. Martínez, E. Herrera-Viedma. Aplicación de un sistema de recomendaciones que combina relevancia y calidad en una biblioteca digital universitaria. Proceedings of the XVII Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2014), pp. 493-498. ISBN: 978-84-15688-76-1, Zaragoza (Spain), 5-7 February 2014.
- [1763] R.M. Rodríguez, L. Martínez, V. Torra, Z.S. Xu, F. Herrera. Hesitant Fuzzy Sets: State of the Art and Future Directions. International Journal of Intelligent Systems 29 (2014) 495-524. doi: 10.1002/int.21654
- [1764] I. Palomares, F.J. Estrella, L. Martínez, F. Herrera. Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Information Fusion 20 (2014) 252-271. doi: 10.1016/j.inffus.2014.03.002
- [1766] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera. Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowledge Discovevery 4 (2014), 87-103. doi: 10.1002/widm.1118
- [1767] I. Triguero. Algoritmos evolutivos de codificación real para el problema de generación de prototipos en aprendizaje supervisado y semi-supervisado basado en instancias. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada..
Advisor: F. Herrera, S. García - [1768] V. López. Sistemas de Clasificación Basados en Reglas Difusas para Problemas no Balanceados. Aproximaciones y Uso de Nuevas Estrategias para Resolver Problemas Intrínsecos a los Datos no Balanceados. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera and A. Fernandez - [1771] M. Galende, M.J. Gacto, G. Sainz, R. Alcalá. Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: GM3M Generalization and New Rule Meaning Index (RMI) for Global Assessment and Local Pseudo-Linguistic Representation. Information Sciences 282 (2014) 190-213. doi: 10.1016/j.ins.2014.05.023
- [1772] V. Bolón-Canedo, N. Sánchez-Maroño, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. A review of microarray datasets and applied feature selection methods. Information Sciences 282 (2014) 111-135. doi: 10.1016/j.ins.2014.05.042
- [1773] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera. Preprocessing Noisy Imbalanced Datasets using SMOTE enhanced with Fuzzy Rough Prototype Selection. Applied Soft Computing 22 (2014) 511-517. doi: 10.1016/j.asoc.2014.05.023
- [1774] C. Cobos, H. Muñoz-Collazos, R. Urbano-Muñoz, M. Mendoza, E. Leon, E. Herrera-Viedma. Clustering of Web Search Results based on the Cuckoo Search Algorithm and Balanced Bayesian Information Criterion. Information Sciences 281 (2014) 248–264. doi: 10.1016/j.ins.2014.05.047
- [1785] M.J. Cobo, M.A. Martínez, M. Gutiérrez-Salcedo, M. Herrera, E. Herrera-Viedma. Identifying Citation Classics in Fuzzy Decision Making Field using the Concept of H-Classics. Proceedings of the 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), pp. 567-576. ISBN: 1877-0509. Moscow (Russia), 3-5 June 2014.
- [1782] A. Fernandez, D. Peralta, J.M. Benítez, F. Herrera. E-learning and educational data mining in cloud computing: an overview. International Journal of Learning Technology, 9:1 (2014) 25-52.
- [1781] A. Valsecchi, S. Damas, J. Santamaría, L. Marrakchi-Kacem. Intensity-based image registration using scatter search. Artificial Intelligence in Medicine 60:3 (2014), 151-163.
- [1786] I.J. Pérez, F.J. Cabrerizo, J.A. Morente-Molinera, M.R. Ureña, E. Herrera-Viedma. Reaching Consensus in Digital Libraries: A Linguistic Approach. 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), Procedia Computer Science 31, Moscu (Russia), 449-458, June 3-5, 2014.
- [1787] M.R. Ureña, F. Chiclana, S. Alonso, J.A. Morente-Molinera E. Herrera-Viedma. On Incomplete Fuzzy and Multiplicative Preference Relations In Multi-Person Decision Making. Procedia Computer Science 31 ( 2014 ) 793 – 801.
- [1789] F.J. Estrella, M. Espinilla, F. Herrera, L. Martínez. FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Information Sciences 280 (2014) 152-170. doi: 10.1016/j.ins.2014.04.049
- [1792] José A. Sáez, J. Derrac, J. Luengo, F. Herrera. Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes. Hybrid Artificial Intelligent Systems 2014 (HAIS 2014), Lecture Notes in Computer Science Volume 8480, 2014, pp 597–606.
- [1794] J. Derrac, S. García, S. Hui, P. N. Suganthan, F. Herrera. Analyzing convergence performance of evolutionary algorithms: A statistical approach. Information Sciences 289 (2014) 41-58. doi: 10.1016/j.ins.2014.06.009
COMPLEMENTARY MATERIAL to the paper - [1795] . . .
- [1796] E. Ramentol. Nuevos métodos de edición de conjuntos de entrenamiento no balanceados usando la teoria de los conjuntos aproximados. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera and R. Bello - [1797] D. Martín. Algoritmos Evolutivos para la extracción de reglas de asociación cuantitativas. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera and J. Alcalá-Fdez - [1798] B. Esteban, A. Tejeda-Lorente, C. Porcel, J.A. Moral-Muñoz, E. Herrera-Viedma. Aiding in the Treatment of Low Back Pain by a Fuzzy Linguistic Web System. In Proceedings of the 9th International Conference, RSCTC 2014, Granada and Madrid, Spain, July 9-13, 2014. Springer International Publishing, Switzerland (2014) 250-261. doi: 10.1007/978-3-319-08644-6_26
- [1799] A. Tejeda-Lorente, J. Bernabé-Moreno, C. Porcel, E. Herrera-Viedma. Integrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Libraries. Proceedings of the 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), pp. 567-576. ISBN: 1036–1043. Moscow (Russia), 3-5 June 2014.
- [1800] J. Bernabé-Moreno, A. Tejeda-Lorente, C. Porcel, E. Herrera-Viedma. Leveraging Localized Social Media Insights for Early Warning Systems . Proceedings of the 2nd International Conference on Information Technology and Quantitative Management (ITQM 2014), pp. 1051–1060. ISBN: 1877-0509. Moscow (Russia), 3-5 June 2014.
- [1801] D. S. Tarragó. Algoritmos para la Clasificación Multinstancia. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera, C. Cornelis and R. Bello - [1802] F.J. Cabrerizo, I.J. Pérez, J.A. Morente-Molinera, M.R. Ureña, E. Herrera-Viedma. A new consensus tool in digital libraries. 9th International Conference on Rough Sets and Current Trends in Soft Computing (RSCTC 2014), Lecture Notes in Artificial Intelligence (LNAI) 8536, Granada & Madrid (Spain), 222-231, July 9-13, 2014.
- [1803] V. López, S. Río, J.M. Benítez, F. Herrera. On the use of MapReduce to build Linguistic Fuzzy Rule Based Classification Systems for Big Data. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp. 1905-1912, 6-11 July, 2014.
- [1804] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Designing a compact Genetic Fuzzy Rule-Based System for One-Class Classification. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp.2163-2170, july 6-11, 2014.
- [1805] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas para una consultora de inmuebles. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 181-186, 5-7 Febrero, 2014.
- [1806] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera. A Combined MapReduce-Windowing Two-Level Parallel Scheme for Evolutionary Prototype Generation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp. 3036-3043, 2014. doi: 10.1109/CEC.2014.6900490
- [1807] B. Krawczyk, I. Triguero, S. García, M. Wozniak, F. Herrera. A First Attempt on Evolutionary Prototype Reduction for Nearest Neighbor One-Class Classification.. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp 747-753, 2014.
- [1809] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera. Enhancing Difficult Classes in One-vs-One Classifier Fusion Strategy using Restricted Equivalence Functions. In Proceedings of the 17th International Conference on Information Fusion (FUSION'2014), SS07-DMKDIF, pp. 1-8 Salamanca (Spain), 7-10 July 2014.
- [1810] A. Fernandez, S. Río, V. López, A. Bawakid, M.J. del Jesus, J.M. Benítez, F. Herrera. Big Data with Cloud Computing: An Insight on the Computing Environment, MapReduce and Programming Frameworks. WIREs Data Mining and Knowledge Discovery 4:5 (2014) 380-409. doi: 10.1002/widm.1134
- [1812] D. Molina, B. Lacroix, F. Herrera. Influence of Regions on the Memetic Algorithm for the Special Session on Real-Parameter Single Objetive Optimisation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Beijing (China), 6-11 July, 2014, pp. 1633-1640..
- [1816] M. Fazzolari, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Method for Learning Granularities based on Fuzzy Discretization to Improve the Accuracy-Complexity trade-off of Fuzzy Rule-Based Classification Systems: D-MOFARC Algorithm. Applied Soft Computing 24 (2014) 470-481.
- [1817] L. S. Riza, Andrzej Janusz, C. Bergmeir, C. Cornelis, F. Herrera, Dominik Slezak, J.M. Benítez. Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Information Sciences 287 (2014) 68-89.
- [1818] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera. Un nuevo algoritmo Evolutivo Multi-Objetivo para la extracción de Reglas de Asociación Cuantitativas Positivas y Negativas. In: D.A. Pelta, R. Pérez, C. Cruz, J.L. Verdegay (eds.): Contribuciones en Soft Computing, Universidad de Granada, 2014, 1-16. ISBN 978-84-338-5672-2.
- [1825] A. Palacios, K. Trawinski, O. Cordón, L. Sánchez. Cost-sensitive Learning of Fuzzy Rules for Imbalanced Classification Problems using FURIA. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 22:5 (2014) 643–675. doi: 10.1142/S0218488514500330
- [1828] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera. Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. Intelligent Data Engineering and Automated Learning 2014 (IDEAL 2014), Lecture Notes in Computer Science Volume 8669, 2014, pp 61-68.
- [1829] F.J. Cabrerizo, W. Pedrycz, F. Chiclana, E. Herrera-Viedma. Improving consistency in fuzzy preference relations with an allocation of information granularity. The 13th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET_14), Langkawi (Malaysia), 194-205, 22-24 September, 2014.
- [1830] M.J. Cobo, M. Gutiérrez-Salcedo, M.A. Martínez, A.G. López-Herrera, E. Herrera-Viedma. Advance use of SciMAT through its API. Proceedings of the 1st European Conference on Social Network (EUSN 2014), Barcelona (Spain), 1-4 July 2014.
- [1833] J.A. Morente-Molinera, I.J. Pérez, R. Wikström, E. Herrera-Viedma, C. Carlsson. Designing a decision support system for recommending smartphones using fuzzy ontologies. IEEE INTELLIGENT SYSTEMS’2014.
- [1836] D.P. Pancho and J.M. Alonso and J. Alcalá-Fdez and L. Magdalena. Analyzing Fuzzy Association Rules with Fingrams in KEEL. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Beijing (China), 2352-2359, 6-11 July, 2014.
- [1837] A. Tejeda-Lorente. Sistemas de recomendaciones lingüísticos difusos para la difusión de información en bibliotecas digitales. PhD Dissertation, Department of Computer Science and Artificial Intelligence, University of Granada..
Advisor: E. Herrera-Viedma, C. Porcel, C. Cornelis - [1838] H.M. Kammoun, I. Kallel, J. Casillas, A. Abraham, A.M. Alimi. Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model. Transportation Research Part C: Emerging Technologies 42 (2014) 147–167. doi: 10.1016/j.trc.2014.03.003
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- [1861] B.R. Campomanes-Álvarez, O. Ibáñez, F. Navarro, I. Alemán, M. Botella, S. Damas, O. Cordón. Computer Vision and Soft Computing for Automatic Skull-Face Overlay in Craniofacial Superimposition. Forensic Science International 245 (2014) 77-86.
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- [1895] F. Herrera. Big data: Procesando los datos en la sociedad digital. Revista de Física 28:4 (2014) 40-44.
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- [1977] J. Castro, R.M. Rodríguez, L. Martínez. Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures. International Journal of Computational Intelligence Systems, 7:1 (2014) 80-89. doi: 10.1080/18756891.2013.859861
- [1978] S. Sarkar, R. Hernández-Linares, M.J. Cobo. Winnowing Wheat from the Chaff: The Evolution of the Family Business Concept. 74th Annual Meeting of the Academy of Management, Philadelphia, Pennsylvania (U.S.), August 1-5, 2014. doi: 10.5465/AMBPP.2014.14200abstract
- [2059] B. Krawczyk, M. Wozniak, F. Herrera. Weighted one-class classification for different types of minority class examples in imbalanced data. Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on Orlando, FL. 9-12 Dec. 2014. 337-344. doi: 10.1109/CIDM.2014.7008687
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- [2181] I. Triguero, S. García, F. Herrera, Y. Saeys. Improving disease prediction using unlabeled and synthetic samples. 9th Benelux Bioinformatics Conference, Bioinformatics: Integrating data, teams and disciplines. Novotel-Kirchberg (Luxembourg), December 8-9, 2014.
- [2432] S. García, J. Derrac, S. Ramírez-Gallego, F. Herrera. On the statistical analysis of the parameters’ trend in a machine learning algorithm. Progress in Artificial Intelligence 3:1 (2014) 51-53. doi: 10.1007/s13748-014-0043-8
- [2183] M. Rubio Escudero, C. Mañoso, R. Romero Zaliz, A. de Madrid. Uso de las plataformas LEGO y Arduino en la enseñanza de la programación. jornadas De Enseñanza Universitaria De La Informática (JENUI 2014), Asociación de Enseñantes Universitarios de Informática, Oviedo, España, 9 al 11 de julio 2014.
- [2219] R. Montes, M. Gea, C. Dondi. Engaging OER at Universities. Revista Educación Mediática y Aplicación Didáctica de las TIC 3:2 (2014) 7-28.
- [2220] R. Montes, M. Gea, J. Haywood. Open Learning Recognition in Traditional Universities. Lifelong education: the XXI century journal 1:5 (2014).
- [2221] R. Montes, M. Gea, B. Rojas, R. Bergaz. Generating lifelong-learning communities and branding with Massive Open Online Courses. Information Resources Management Journal 27:2 (2014) 27-46.
- [2222] V. Gámiz, R. Montes, M.C. Pérez. Self-assessment via a blended-learning strategy to improve performance in an accounting subject. RUSC. Universities and Knowledge Society Journal 11:2 (2014) 41-54.
- [2223] R. Montes, M. Gea, V. Gámiz. AbiertaUGR: Diseño, uso y conclusiones de un MOOC en la UGR. III Workshop internacional sobre Creación de MOOC con anotaciones multimedia, Málaga (Spain), 7 de marzo, 2014.
- [2224] M. Gea, R. Montes, B. Rojas, R. Bergaz. Comunidades activas de aprendizaje: hacia la formación abierta en las universidades. Revista Iberoamericana de Tecnologías del Aprendizaje (IEEE - RITA) 2:1 (2014) 3-10.
- [2225] M. Gea, R. Montes. abiertaUGR: modelling online learning communities. Actas del European MOOC Stakeholder Summit 2014, Lausane (Suiza), 218-221, february 11, 2014.
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Advisor: O. Cordón, L. Sánchez, A. Quirin - [2349] J. Castro. Heritage point of interest recommendation for groups. International Meeting of Young Researchers on Heritage (PatrimonUN10), University of Jaén, Baeza (Spain).
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- [1793] J. G. Moreno-Torres, José A. Sáez, F. Herrera. A methodology to improve single-experimet k-fold Cross-Validation by reducing the impact of related dataset shift. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). VI Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2013), Madrid (Spain), 1393-1402, 2013..
- [1835] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera. Optimización basada en Malla Variable para funciones multimodales. Actas de la Multiconferencia CAEPIA 2013, IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB13), Madrid, 17-20 Septiembre 2013, pp 594-603..
- [1839] F.J. Martínez-López, J. Casillas. , Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management 42:4 (2013) 489-495. doi: 10.1016/j.indmarman.2013.03.001
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- [1874] N. Bova, O. Ibáñez, O. Cordón,. Local and Global optimization of Extended Topological Active Nets for Image Segmentation. Proceedings of the International Conference on Medical Imaging using bio-inspired and soft computing (2013), 123-130.
- [2226] R. Montes, M. Gea, D. Bravo, S. Molina, R. Bergaz, A. Ramos. Turning out a social community into an e-Learning platform for MOOC: the case of AbiertaUGR. 1st International Conference on Technological Ecosystems for Enhancing Multiculturality, Salamanca (Spain), 489-493..
- [2227] M. Gea, R. Montes, R. Bergaz. abiertaUGR: a MOOC framework based on online learning communities. EFQUEL Innovation Forum 2013, Barcelona (Spain), September 17-20, 2013.
- [2228] M. Gea, R. Montes, B. Rojas. Cursos masivos mediante la creación de comunidades activas de aprendizaje. Actas del XV Simposio Internacional de Tecnologías de la Información y las Comunicaciones en la Educación, dentro del IV Congreso Español de Informática (CEDI 2013), Madrid (Spain), 21-28, 17-20 de septiembre de 2013..
- [2229] M. Gea, R. Montes, B. Rojas, A. Marin, A. Cañas, I. Blanco, V. Gamiz, A. del Río, D. Bravo, M. Cadiz, C. Gutierrez. Formación abierta sobre modelos de enseñanza masivos: nuevas tendencias hacia el aprendizaje social. IV Congreso Internacional sobre Calidad y Accesibilidad de la Formación Virtual (CAFVIR), Lisboa (Portugal), 460-467, 17-19 abril, 2013.
- [2230] R. Montes, M. Gea, J. Haywood. Reconocimiento del aprendizaje abierto en las universidades tradicionales. Journal for Educators, Teachers and Trainers, 4:2 (2013), 82–94.
- [2231] M. Abad, N. Medina, S. Moral, R. Montes, S. Torres, F. Matesanz. Increasing power by using haplotype similarity in a multimarker transmission/disequilibrium test. Journal of Bioinformatics and Computational Biology 2:2 (2013) 1250014-1--1250014-22.
- [2233] R. Montes. Recursos de aprendizaje en abierto. La experiencia OERtest. T. Daouas y M. Gea (eds.): Formacion virtual para el aprendizaje permanente y el intercambio cultural en el Mediterraneo, 2013, 235-248. ISBN 978-84-338-5494-0.
- [2234] M. Gea, R. Montes, I. Blanco, A. Cañas. El papel de la formación virtual y el conocimiento en red en la educación superior. T. Daouas y M. Gea (eds.): Formacion virtual para el aprendizaje permanente y el intercambio cultural en el Mediterraneo, 2013, 15-28. ISBN 978-84-338-5494-0.
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- [2236] M. Gea, R. Montes, I. Blanco, A. Cañas. Le rôle de la formation virtuelle et de la connaissance en réseau dans l’éducation supérieure. T. Daouas y M. Gea (eds.): La formation virtuelle pour l'apprentissage continu et l'échange culturel en Mediterranée, 2013, 19-33. ISBN 978-84-338-5524-4.
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- [2238] R. Montes. Ressources Éducatives Libres: l’expérience OERtest. T. Daouas y M. Gea (eds.): La formation virtuelle pour l'apprentissage continu et l'échange culturel en Mediterranée, 2013, 247-260. ISBN 978-84-338-5524-4.
- [2251] A. Valsecchi. Intensity-based medical image registration using metaheuristics. PhD Dissertation, Department of Computer Science, University of Oviedo, December, 2013.
Advisor: S. Damas and J. Santamaría - [2296] J.R. Campaña Gómez, C. Cano Gutiérrez, C. Cruz Coronas, C. del Val, J.M. Fernández Luna, M.A. Rubio Escudero, M.D. Ruiz Jiménez. DEVELOPMENT OF AUTONOMOUS LEARNING TOOLS TO ENHANCE STUDENTS LEARNING IN SCIENCE AND ENGINEERING. J.R. Campaña Gómez, C. Cano Gutiérrez, C. Cruz Coronas, C. del Val Muñoz, J.M. Fernández Luna, M.A. Rubio Escudero, M.D. Ruiz Jiménez (2013) DEVELOPMENT OF AUTONOMOUS LEARNING TOOLS TO ENHANCE STUDENTS LEARNING IN SCIENCE AND ENGINEERING, EDULEARN13 Proceedings, pp. 5134-5143..
2012 (149)
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- [1425] J. G. Moreno-Torres, T. R. Raeder, R. Aláiz-Rodríguez, N. V. Chawla, F. Herrera. A unifying view on dataset shift in classification. Pattern Recognition 45:1 (2012) 521-530. doi: 10.1016/j.patcog.2011.06.019
- [1241] E. Pérez, M. Posada, F. Herrera. Analysis of New Niching Genetic Algorithms for Finding Multiple Solutions in the Job Shop Scheduling. Journal of Intelligent Manufacturing 23:3 (2012) 341-356. doi: 10.1007/s10845-010-0385-4
- [1328] M.J. Gacto, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence 36:2 (2012) 330-347. doi: 10.1007/s10489-010-0264-x
- [1336] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, G. Olague, F. Herrera. Hybrid Laser Pointer Detection Algorithm Based on Template Matching and Fuzzy Rule-Based Systems for Domotic Control in Real Home Enviroments. Applied Intelligence 36:2 (2012) 407-423. doi: 10.1007/s10489-010-0268-6
- [1365] I. Triguero, J. Derrac, S. García, F. Herrera. A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 42 (1) (2012) 86-100. doi: 10.1109/TSMCC.2010.2103939
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [1372] S. García, J. Derrac, I. Triguero, C.J. Carmona, F. Herrera. Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification. Knowledge Based Systems 25:1 (2012) 3-12. doi: 10.1016/j.knosys.2011.01.012
- [1396] J. Santamaría, O. Cordón, S. Damas, R. Martí, R. Palma. GRASP and Path Relinking Hybridizations for the Point Matching-based Image Registration Problem. Journal of Heuristics 18:1 (2012) 169-192. doi: 10.1007/s10732-011-9166-2
- [1398] A. Palacios, M.J. Gacto, J. Alcalá-Fdez. Mining Fuzzy Association Rules from Low Quality Data. Soft Computing 16:5 (2012) 883-901. doi: 10.1007/s00500-011-0775-3
- [1399] F. Muñoz-Leiva, M.I. Viedma-del-Jesus, J. Sánchez-Fernández, A.G. López-Herrera. An Application of Co-Word Analysis and Bibliometric Maps for Detecting the Most Highlighting Themes in the Consumer Behaviour Based Research from a Longitudinal Perspective. Quality & Quantity 46:4, pp. 1077-1095 (2012). doi: 10.1007/s11135-011-9565-3
- [1405] M. Chica, O. Cordón, S. Damas, J. Bautista. Multiobjective memetic algorithms for time and space assembly line balancing. Engineering Applications of Artificial Intelligence 25:2 (2012) 254–273.
- [1408] J. Luengo, S. García, F. Herrera. On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowledge and Information Systems 32:1 (2012) 77-108. doi: 10.1007/s10115-011-0424-2
COMPLEMENTARY MATERIAL to the paper: Software, data sets, results and methods description - [1409] S. García, J. Derrac, J.R. Cano, F. Herrera. Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions on Pattern Analysis and Machine Intelligence 34:3 (2012) 417-435. doi: 10.1109/TPAMI.2011.142
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [1414] J. Marín, D. Molina, F. Herrera. Modeling Dynamics of a Real-coded CHC Algorithm in Terms of Dynamical Probability Distributions. Soft Computing 16:2 (2012) 331-351. doi: 10.1007/s00500-011-0745-9
- [1419] F. Chávez, F. Fernández, M.J. Gacto, R. Alcalá. Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. International Journal of Computational Intelligence Systems 5:2 (2012) 368-386. doi: 10.1080/18756891.2012.685327
- [1422] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera. A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches. IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews 42:4 (2012) 463-484. doi: 10.1109/TSMCC.2011.2161285
- [1426] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. An advanced scatter search design for skull-face overlay in craniofacial superimposition. Experts Systems with Applications 39:1 (2012) 1459-1473. doi: 10.1016/j.eswa.2011.08.034
- [1427] O. Ibáñez, O. Cordón, S. Damas. A cooperative coevolutionary approach dealing with the skull-face overlay uncertainty. Soft Computing 16:5 (2012) 797-808. doi: 10.1007/s00500-011-0770-8
- [1428] J. Derrac, C. Cornelis, S. García, F. Herrera. Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection. Information Sciences 186:1 (2012) 73-92. doi: 10.1016/j.ins.2011.09.027
- [1429] J. Luengo, F. Herrera. Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2012) 43-65. doi: 10.1016/j.ins.2011.09.022
- [1430] J. Luengo, José A. Sáez, F. Herrera. Missing data imputation for Fuzzy Rule Based Classification Systems. Soft Computing 16 (2012) 863–881. doi: 10.1007/s00500-011-0774-4
- [1431] R.M. Rodríguez, L. Martínez, F. Herrera. Hesitant Fuzzy Linguistic Terms Sets for Decision Making. IEEE Transactions on Fuzzy Systems 20:1 (2012) 109-119. doi: 10.1109/TFUZZ.2011.2170076
- [1432] M.J. Cobo, A.G. López-Herrera, F. Herrera, E. Herrera-Viedma. A Note on the ITS Topic Evolution in the Period 2000–2009 at T-ITS. IEEE Transactions on Intelligent Transportation Systems, 13:1, pp. 413-420 (2012). doi: 10.1109/TITS.2011.2167968
- [1433] Amilkar Puris, Rafael Bello, D. Molina, F. Herrera. Variable mesh optimization for continuous optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications (2012), 16(3), 511-525. doi: 10.1007/s00500-011-0753-9
- [1434] E. Ramentol, Y. Caballero, R. Bello, F. Herrera. SMOTE-RSB*: A Hybrid Preprocessing Approach based on Oversampling and Undersampling for High Imbalanced Data-Sets using SMOTE and Rough Sets Theory. Knowledge and Information Systems 33:2 (2012) 245-265. doi: 10.1007/s10115-011-0465-6
- [1438] C. Bergmeir, J.M. Benítez. Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS. Journal of Statistical Software 46(7) (2012) 1-26.
- [1442] H. Bustince, M. Pagola, R. Mesiar, E. Hullermeier, F. Herrera. Grouping, Overlap and Generalized Bi-Entropic Functions for Fuzzy Modeling of Pairwise Comparisons. IEEE Transactions on Fuzzy Systems 20:3 (2012) 405-415. doi: 10.1109/TFUZZ.2011.2173581
- [1443] A. Alvarez-Alvarez, G. Trivino, O. Cordón. Human Gait Modeling Using a Genetic Fuzzy Finite State Machine. IEEE Transactions on Fuzzy Systems 20:2 (2012) 205-223. doi: 10.1109/TFUZZ.2011.2171973
- [1446] K. Trawinski, O. Cordón, A. Quirin. A Study on the Use of Multiobjective Genetic Algorithms for Classifier Selection in FURIA-based Fuzzy Multiclassifiers. International Journal of Computational Intelligence Systems 5:2 (2012) 231-253.
- [1450] A. Palacios, J. Alcalá-Fdez. Extracción de reglas de asociación difusas a partir de datos de baja calidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 325-330, 1-3 Febrero 2012..
- [1451] J. Derrac, J. Luengo, A. Fernandez, S. García, J. Alcalá-Fdez. KEEL: Una herramienta docente para sistemas difusos. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 534-539, 1-3 Febrero.
- [1452] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 265-270, 1-3 Febrero 2012.
- [1696] S. Damas, O. Cordón, O. Ibáñez, C. Peña, R. Del Coso. New methodologies and protocols of forensic identification by craniofacial superimposition. In Proceedings of the 6th European Academy of Forensic Science Conference (EAFS 2012), The Hague (Netherlands), August 20-24, pp. 359-359.
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- [1462] C. García-Martínez, M. Lozano, F. J. Rodriguez. A simulated annealing method based on a specialised evolutionary algorithm. Applied Soft Computing 12:2 (2012) 573-588. doi: 10.1016/j.asoc.2011.11.007
- [1463] F. J. Rodriguez, C. García-Martínez, M. Lozano. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test. IEEE Transactions on Evolutionary Computation 16:6 (2012) 787-800. doi: 10.1109/TEVC.2012.2182773
- [1464] C. Bergmeir, M. García-Silvente, J.M. Benítez. Segmentation of Cervical Cell Nuclei in High-resolution Microscopic Images: A new Algorithm and a Web-based Software Framework. Computer Methods and Programs in Biomedicine 107(3) (2012) 497-512.
- [1466] C. Porcel, A. Tejeda-Lorente, M.A. Martínez, E. Herrera-Viedma. A hybrid recommender system for the selective dissemination of research resources in a technology transfer office. Information Sciences 184:1 (2012) 1-19. doi: 10.1016/j.ins.2011.08.026
- [1472] C. Bergmeir, J.M. Benítez. On the Use of Cross-validation for Time Series Predictor Evaluation. Information Sciences 191 (2012) 192-213.
- [1473] C. del Val, R. Romero Zaliz,O. Torres-Quesada, A. Peregrina, N. Toro, J.I. Jimenez-Zurdo. A survey of sRNA families in α-proteobacteria. RNA Biology 9:2 (2012) 119-129. doi: 10.4161/rna.18643
- [1478] M.J. Gacto, R. Alcalá, F. Herrera. Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 295-300, 1-3 Febrero 2012.
- [1481] R.A. Carrasco, P. Villar. A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources. Soft Computing 16:1 (2012) 135-151.
- [1485] V. López, A. Fernandez, J. G. Moreno-Torres, F. Herrera. Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Systems with Applications 39:7 (2012) 6585-6608. doi: 10.1016/j.eswa.2011.12.043
- [1495] D. Gómez-Lorente, I. Triguero, C. Gil, A. Espín Estrella. Evolutionary Algorithms for the Design of Grid-connected PV-systems. Expert Systems with Applications 39:9 (2012) 8086-8094. doi: 10.1016/j.eswa.2012.01.159
- [1496] N. Verbiest, C. Cornelis, F. Herrera. Selección de Prototipos Basada en Conjuntos Rugosos Difusos. Proceedings of XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012).
- [1501] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 98-107, 6-8 February 2012.
- [1500] V. López, A. Fernandez, M.J. del Jesus, F. Herrera. Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (Spain), pp. 313-318, 1-3 February 2012.
- [1498] José A. Sáez, J. Luengo, F. Herrera. Sistemas de clasificación basados en reglas difusas y sistemas nítidos robustos entrenados en presencia de ruido de clase: un caso de estudio. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 602-607, 1-3 Febrero 2012.
- [1504] J. Derrac, S. García, D. Molina, F. Herrera. Un tutorial sobre el uso de test estadísticos no paramétricos en comparaciones múltiples de metaheurísticas y algoritmos evolutivos. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 455-462, Febrero 8-10, 2012.
- [1502] I. Triguero, J. Derrac, S. García, F. Herrera. Evolución Diferencial para Reducción de Prototipos y Ponderación de Características. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 267-274, Febrero 8-10, 2012.
- [1503] P.D. Gutiérrez, I. Triguero, F. Herrera. Algoritmos Basados en Nubes de Partículas y Evolución Diferencial para el Problema de Optimización Continua: Un estudio experimental. Actas del VIII Congreso Español sobre Metaheurística, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 144-156, Febrero 8-10, 2012.
- [1505] S. García, V. López, J. Luengo, C.J. Carmona, F. Herrera. A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 211-216, 6-8 February 2012.
- [1506] J.L. Aznarte M., J. Alcalá-Fdez, A. Arauzo, J.M. Benítez. Financial Time Series Forecasting with a Bio-inspired Fuzzy Model. Expert Systems with Applications 39:16 (2012) 12302–12309. doi: 10.1016/j.eswa.2012.02.135
- [1508] I.J. Pérez, F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma. Modelling Influence among individuals in group decision making problems. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (Spain), 193-198, 1-3 February 2012.
- [1509] D. Molina, B. Lacroix, F. Herrera. Algoritmo Memético con regiones basado en encadenamiento de búsquedas locales. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 205-210, Febrero 8-10, 2012.
- [1510] D. Molina, Juan Manuel Dodero. Técnicas de pruebas automáticas para algoritmos evolutivos. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 479-486, Febrero 8-10, 2012.
- [1512] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera. SciMAT: A new Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology 63:8, pp. 1609-1630 (2012) . SciMAT's website here. doi: 10.1002/asi.22688
- [1536] B. Giglio, F. Marcelloni, M. Fazzolari, R. Alcalá, F. Herrera. A Case Study on the Application of Instance Selection Techniques for Genetic Fuzzy Rule-Based Classifiers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane (Australia), pp. 920-927, 10-15 June 2012.
- [1513] M.R. Ureña, P. Martinez-Cañada,J.M. Gómez-López F. Pelayo, C. Morillas. Real Time tone-mapping on GPU and FPGA. Eurasip Journal on Image and Video Processing 2012, 2012:1. doi: 10.1186/1687-5281-2012-1
- [1514] J. Derrac, I. Triguero, S. García, F. Herrera. Integrating Instance Selection, Instance Weighting and Feature Weighting for Nearest Neighbor Classifiers by Co-evolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 42:5 (2012) 1383-1397. doi: 10.1109/TSMCB.2012.2191953
COMPLEMENTARY MATERIAL to the paper: datasets, experimental results and source codes - [1516] J. Derrac, I. Triguero, S. García, F. Herrera. A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 176-187.
- [1517] José A. Sáez, M. Galar, J. Luengo, F. Herrera. A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 25-35.
- [1518] J. A. García, R. Rodriguez-Sánchez, J. Fdez-Valdivia, D. Torres-Salinas, F. Herrera. Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study. Scientometrics 93:3 (2012) 681-698. doi: 10.1007/s11192-012-0740-7
- [1519] L. Martínez, F. Herrera. An overview on the 2-tuple linguistic model for Computing with Words in Decision Making: Extensions, applications and challenges. Information Sciences 207 (2012) 1-18. doi: 10.1016/j.ins.2012.04.025
- [1520] R. Heradio, D. Fernández-Amorós, F.J. Cabrerizo, E. Herrera-Viedma. A review of quality evaluation of digital libraries based on users' perceptions. Journal of Information Science 38:3 (2012) 269-283. doi: 10.1177/0165551512438359
- [1522] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:2 (2012) 1-30. doi: 10.1142/S0218488512500195
- [1523] P. Villar, A. Fernandez, R.A. Carrasco, F. Herrera. Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classication Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:3 (2012) 369-397. doi: S0218488512500195
- [1524] J.M. Tapia García, M.J. Del Moral, M.A. Martínez, E. Herrera-Viedma. A consensus model for group decision making problems with linguistic interval fuzzy preference relations. Expert Systems with Applications 39:11 (2012) 10022-10030.
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- [1323] D. Molina, M. Lozano, A.M. Sánchez, F. Herrera. Memetic Algorithms Based on Local Search Chains for Large Scale Continuous Optimisation Problems: MA-SSW-Chains . Soft Computing, 15 (2011) 2201-2220. doi: 10.1007/s00500-010-0647-2
- [1324] F. Herrera, C.J. Carmona, P. González and M.J. del Jesus. An overview on Subgroup Discovery: Foundations and Applications . Knowledge and Information Systems 29:3 (2011) 495-525. doi: 10.1007/s10115-010-0356-2
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- [1327] I. Triguero, S. García, F. Herrera. Differential Evolution for Optimizing the Positioning of Prototypes in Nearest Neighbor Classification. Pattern Recognition 44 (4) (2011) 901-916. doi: 10.1016/j.patcog.2010.10.020
- [1329] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Multiobjective Genetic Fuzzy Rule Selection of Single Granularity-Based Fuzzy Classification Rules and its Interaction with the Lateral Tuning of Membership Functions. Soft Computing 15:12 (2011) 2303-2318. doi: 10.1007/s00500-010-0671-2
- [1337] M.I. Viedma-del-Jesus, P. Perakakis, M.A. Muñóz, A.G. López-Herrera, J. Vila. Sketching the First Forty-Five Years of the Journal Psychophysiology (1964-2008): A Co-word Based Analysis. Psychophysiology 48 (2011), 1029–1036. doi: 10.1111/j.1469-8986.2011.01171.x
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- [1401] J.M. Morales-del-Castillo, E. Peis, E. Herrera-Viedma. An approach to a semantic recommender system for digital libraries. In: M. Lytras; P. Ordóñez de Pablos; E. (Eds.). Semantic Web Personalization and Context Awareness: Management of Personal Identities and Social Networking, pp. 55-68. Hershey (EE.UU.): IGI GLobal, 2011. ISBN:9781615209217.
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- [1366] J. Serrano-Guerrero, E. Herrera-Viedma, J. A. Olivas, A. Cerezo, F. P. Romero. A Google Wave-based Fuzzy Recommender System to disseminate Information in University Digital Libraries 2.0 . Information Sciences 181(2011) 1503–1516. doi: 10.1016/j.ins.2011.01.012
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COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc - [1373] J. Sanz, A. Fernandez, H. Bustince, F. Herrera. A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position 52:6 (2011) 751-766. International Journal of Approximate Reasoning. doi: 10.1016/j.ijar.2011.01.011
- [1374] J. Derrac, S. García, D. Molina, F. Herrera. A Practical Tutorial on the Use of Nonparametric Statistical Tests as a Methodology for Comparing Evolutionary and Swarm Intelligence Algorithms. Swarm and Evolutionary Computation 1:1 (2011) 3-18. doi: 10.1016/j.swevo.2011.02.002
COMPLEMENTARY MATERIAL to the paper: Software and tests description - [1375] M.J. Gacto, R. Alcalá, F. Herrera. Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011), pp. 73-80, 2011..
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COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc - [1382] M. Chica, O. Cordón, S. Damas. An advanced multiobjective genetic algorithm design for the time and space assembly line balancing problem. Computers and Industrial Engineering 61:1 (2011) 103-117.
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COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc - [1384] E. Herrera-Viedma, F.J. Cabrerizo, I.J. Pérez, M.J. Cobo, S. Alonso, F. Herrera. Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. In: R.R. Yager, J. Kacprzyk, G. Beliakov (Eds.): Recent developments in the ordered weighted averaging operators: theory and practice, Studies in Fuzziness and Soft Computing, Volume 265/2011, Springer (2011), pp. 167-186, ISBN: 978-3-642-17909-9.
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- [1388] Francisco Fernández, Francisco Chávez, R. Alcalá, F. Herrera. Musical Genre Classification by means of Fuzzy Rules Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation (CEC 2011), New Orleans (Louisiana, USA), pp. 2681-2687, 5-8 June 2011.
- [1406] J. Santamaría, O. Cordón, S. Damas. A comparative study of state-of-the-art evolutionary image registration methods for 3D modeling. Computer Vision and Image Understanding 115:9 (2011) 1340–1354.
- [1410] M. Lozano, D. Molina, C. García-Martínez. Iterated greedy for the maximum diversity problem. European Journal of Operational Research, 214, (2011), 31-38. doi: 10.1016/j.ejor.2011.04.018
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- [1397] J. Luengo. Soft Computing based learning and Data Analysis: Missing Values and Data Complexity. Department of Computer Science and Artificial Intelligence, University of Granada.
Advisor: F. Herrera - [1400] F. Chávez, F. Fernandez, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Evolutionary Learning of a Laser Pointer Detection Fuzzy System for an Environment Control System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei (Taiwan), pp. 256-263, 27-30 June 2011.
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- [1403] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. Modeling the skull-face overlay uncertainty using fuzzy sets. IEEE Transactions on Fuzzy Systems 19:5 (2011) 946-959.
- [1404] O. Cordón. A Historical Review of Evolutionary Learning Methods for Mamdani-type Fuzzy Rule-based Systems: Designing Interpretable Genetic Fuzzy Systems. International Journal of Approximate Reasoning 52:6 (2011) 894–913. doi: 10.1016/j.ijar.2011.03.004
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- [1411] J. Santamaría. Aprendizaje autónomo en ingeniería: un ejemplo práctico en Telemática. Revista de Formación e Innovación Educativa Universitaria (REFIEDU) Vol. 4 Nº2 (2011) 145-155.
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Advisor: E. Herrera-Viedma - [1417] F.J. Cabrerizo, M.A. Martínez, J. López-Gijón, B. Esteban, E. Herrera-Viedma. A New Quality Evaluation Model Generating Recommendations to Improve the Digital Services Provided by the Academic Digital Libraries. 2011 International Fuzzy Systems Association World Congress and the 2011 Asian Fuzzy Systems Society (IFSA 2011), Surabaya and Bali Island (Indonesia), pp. RW_202_1-RW_202_6, June 21-25, 2011.
- [1418] K. Trawinski, O. Cordón, A. Quirin. On designing fuzzy multiclassifier systems by combining FURIA with bagging and feature selection. International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems 19:4 (2011) 589–633. doi: 10.1142/S0218488511007155
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- [1421] P. Villar, A. Fernandez, F. Herrera. Studying the Behaviour of a Multiobjective Genetic Algorithm to Design Fuzzy Rule-Based Classification Systems for Imbalanced Data-sets. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1239-1246, Taipei (Taiwan) 27-30 June 2011.
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Advisor: A.G. López-Herrera, E. Herrera-Viedma and F. Herrera - [1444] I. Triguero, J. Derrac, S. García, F. Herrera. Un esquema de Pesos basado en Evolución Diferencial para Generación de Prototipos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011.
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Advisor: O. Cordón, S. Damas, J. Bautista - [1449] Diana Martín, Alejandro Rosete, J. Alcalá-Fdez, F. Herrera. A Multi-Objective Evolutionary Algorithm for Mining Quantitative Association Rules. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain),pp. 1397-1402, 22–24 November 2011.
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- [1468] A. Tejeda-Lorente, C. Porcel, B. Esteban, E. Herrera-Viedma. Un sistema de recomendaciones para el tratamiento y prevención en fisioterapia. II Jornadas Andaluzas de Informática (JAI2011), Canillas del Aceituno (Spain), pp. 167-173, 16-18 September 2011.
- [1470] D. Torres-Salinas, J G Moreno-Torres, N. Robinson-García, E. Delgado-López-Cózar, F. Herrera. Rankings ISI de las universidades españolas según campos y disciplinas científicas (2ª ed. 2011). El Profesional de la Información 20:6 (2011) 701-711.
- [1471] C. Bergmeir, J.M. Benítez. Forecaster Performance Evaluation with Cross-validation and Variants. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 849-854, 22–24 November 2011.
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- [1477] O. Harari, C. del Val, I. Zwir. Integrating network motifs into a genetc network:a case of study based on the PhoP/phoQ two component system. 11th international conference on intelligent systems design and applications (ISDA 2011), Córdoba (Spain), pp. 1371-1376, 22–24 November 2011.
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Advisor: M. C. Botella, I. Aleman and S. Damas - [1491] J.A. Morente, E.A. Navarro, J.A. Portí, A. Salinas, J.A. Morente-Molinera, S. Toledo-Redondo, W.J. O’Connor, B.P. Besser, H.I.M. Lichtenegger, J. Fornieles, and A. Méndez. A Late-Time Analysis Procedure for Extracting Weak Resonances. Application to the Schumann Resonances Obtained with the Tlm Method. Progress in Electromagnetics Research (PIER), vol. 117,pp. 1-18, 2011. doi: 10.2528/PIER11040405
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Advisor: A. Fernandez, H. Bustince and F. Herrera - [1531] B. Esteban. Un Sistema de Recomendaciones Web para la Prevención y el Tratamiento de Lumbalgias. PhD Dissertation, Department of Morphological Sciences, Anthropology Laboratory, University of Granada.
Advisor: M. Botella, E. Herrera-Viedma, M. Arroyo - [1597] H. M. Kammoun, I. Kallel, J. Casillas, A. M. Alimi. Improvement of the road traffic management by an ant-hierarchical fuzzy system. IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Paris, France (2011).
- [1598] M. González, J. Casillas, C. Morell. Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris, France (2011).
- [1599] F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg. Learning intelligent controllers for path-following skills on snake-like robots. 4th Int. Conf. on Intelligent Robotics and Applications, Aachen, Germany (2011). S. Jeschke. H. Liu, D. Schilbert (Eds.), Proceedings of the 4th International Conference on Intelligent Robotics and Applications - Part II, LNAI 7102 (2011) 525-535.
- [1602] F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg. Aprendizaje de controladores difusos para seguimiento de trayectorias en robots multiarticulados. Proceedings of ROBOT 2011, Sevilla, Spain (2011) 397-403.
- [1604] E. Serrano, J.A. Botia, J.M. Cadenas, A. Quirin, O. Cordón. Analysis by Pathfinder Networks, Improving the Clustering Approach. Chapter 5 of Advancing the state of the art in the analysis of multi-agent systems: Study and Development of Methods and Tools for Testing, Validation and Verification of Multi-Agent Systems, Lambert Academic Publishing, 2011, 61-90.
- [1821] M. Lozano, D. Molina, F. Herrera. Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Computing 15:11 (2011) 2085-2087. doi: 10.1007/s00500-010-0639-2
- [1872] A. B. Porto-Pazos, N. Veiguela, P. Mesero, M. Navarrete, A. Alvarellos, O. Ibáñez, A. Pazos; A. Araque. Artificial astrocytes improve neural network performance. Plos One 19;6(4) (2011).
- [1941] A. Martín Hernández, I. Cuco Peña, D. Giménez Pérez, C. Fernández Vicente, M. Arroyo Morales, J.A. Moral-Muñoz, J. Cuadrado Reyes, I. López de Abechuco Cuesta, F. Linari Melfi. Fichas de conocimiento de la prevención laboral activa a través de la evaluación de las condiciones del trabajador en función de la especificidad de la actividad diaria laboral en la industria agroalimentaria. Granada:AIFEMA, 2011. 293 p. ISBN 978-84-615-4464-6.
- [1942] A. Martín Hernández, I. Cuco Peña, D. Giménez Pérez, C. Fernández Vicente, M. Arroyo Morales, J.A. Moral-Muñoz, J. Cuadrado Reyes, I. López de Abechuco Cuesta, F. Linari Melfi. Fichas de conocimiento de la prevención laboral activa a través de la evaluación de las condiciones del trabajador en función de la especificidad de la actividad diaria laboral en el sector agrario. Granada: AIFEMA, 2011. 325 p. ISBN 978-84-615-4463-9.
- [1943] A. Martín Hernández, D. Giménez Pérez, M. Arroyo Morales, C. Fernández Vicente, J.A. Moral-Muñoz, R. Martín Hernández, J. Cuadrado Reyes, M. Linari Melfi, L. Souza Vera, L. Díaz Rodríguez, F. Linari M. Estudio ergonómico en trabajadores y trabajadoras de residencias privadas. Granada: UGT, 2011. 247 p. ISBN 978-84-615-5918-3.
- [2244] L. Grasso, N. Medina, R. Montes, M. Abad. Homogenizing Access to Highly-Consuming Biomedical Applications throughout a Web-Based Interface. European Conference on Parallel Processing (Euro-Par), Lecture Notes in Computer Science (LNCS) 7156, Bordeaux (France), 33-42, August 29 – September 2, 2011. doi: 10.1007/978-3-642-29740-3
- [2287] R. Romero Zaliz, J. Arnedo, V Dueñas, P. Villar, M.J. del Jesús, J. Cortés, I. Zwir, C. del Val. Desarrollo de una página web para el aprendizaje interactivo del lenguaje de programación R. Congreso Internacional de Innovación Docente, Cartagena, Murcia, Región de Murcia, España, 2011.
- [2293] J. Arnedo, R. Romero Zaliz, I. Zwir, C. del Val. A Multi-objective approach for the prediction of bacterial sRNAs. 19th Annual International Conference on Intelligent Systems For Molecular Biology and 10th European Conference on Computational Biology, Viena, Austria, 2011.
2010 (138)
- [0759] O. Cordón, A. Quirin. Comparing Two Genetic Overproduce-and-choose Strategies for Fuzzy Rule-based Multiclassification Systems Generated by Bagging and Mutual Information-based Feature Selection. International Journal of Hybrid and Intelligent Systems 7:1 (2010) 45-64.
- [0897] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. hg-index: A New Index to Characterize the Scientific Output of Researchers Based on the h- and g- Indices. Scientometrics 82:2 (2010) 391-400. doi: 10.1007/s11192-009-0047-5
- [0849] D. Molina, M. Lozano, C. García-Martínez, F. Herrera. Memetic Algorithms for Continuous Optimization Based on Local Search Chains. Evolutionary Computation, 18:1 (2010) 27-63. doi: 10.1162/evco.2010.18.1.18102
- [1226] J. Derrac, S. García, F. Herrera. IFS-CoCo: Instance and Feature Selection based on Cooperative Coevolution with Nearest Neighbor Rule. Pattern Recognition 43:6 (2010) 2082-2105. doi: 10.1016/j.patcog.2009.12.012
- [1042] F.J. Cabrerizo, J.M. Moreno, I.J. Pérez, E. Herrera-Viedma. Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks. Soft Computing 14:5 (2010) 451-463. doi: 10.1007/s00500-009-0453-x
- [1043] J. Luengo, F. Herrera. Domains of Competence of Fuzzy Rule Based Classification Systems with Data Complexity measures: A case of study using a Fuzzy Hybrid Genetic Based Machine Learning Method. Fuzzy Sets and Systems, 161 (1) (2010) 3-19. doi: 10.1016/j.fss.2009.04.001
- [1051] J. Alcalá-Fdez, S. García, L. Sánchez, I. Robles, M.J. del Jesus, E. Bernadó-Mansilla, A. Peregrin, F. Herrera. Introduction to the Experimental Design in the Data Mining Tool KEEL. L.S.L. Wang , T.P. Hong (Eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2010, 1-25. ISBN 978-1-61520-757-2.
- [1065] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera. q2-Index: Quantitative and Qualitative Evaluation Based on the Number and Impact of Papers in the Hirsch Core. Journal of Informetrics 4:1 (2010) 23-28. doi: 10.1016/j.joi.2009.06.005
- [1071] M. Mucientes, J. Alcalá-Fdez, R. Alcalá, J. Casillas. A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Systems With Applications 37:2 (2010) 1471–1493. doi: 10.1016/j.eswa.2009.06.095
- [1072] S. García, J.R. Cano, F. Herrera. A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency. In: Chiong, R. (eds.): Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications. IGI Global (2010) 92-113.
- [1074] J.M. Moreno, J.M. Morales del Castillo, C. Porcel, E. Herrera-Viedma. A Quality Evaluation Methodology for Health-related Websites Based on a 2-tuple Fuzzy Linguistic Approach. Soft Computing, 14:8 (2010) 887-897. doi: 10.1007/s00500-009-0472-7
- [1080] C. Porcel, E. Herrera-Viedma. Dealing with Incomplete Information in a Fuzzy Linguistic Recommender System to Disseminate Information in University Digital Libraries. Knowledge-Based Systems 23 (2010) 32-39. doi: 10.1016/j.knosys.2009.07.007
- [1081] M. Lozano, C. García-Martínez. Hybrid Metaheuristics with Evolutionary Algorithms Specializing in Intensification and Diversification: Overview and Progress Report. Computers & Operations Research 37:3 (2010) 481-497.
- [1082] C. García-Martínez, M. Lozano. Evaluating a Local Genetic Algorithm as Context-Independent Local Search Operator for Metaheuristics. Soft Computing 14:10 (2010) 1117-1139. doi: 10.1007/s00500-009-0506-1
- [1092] P. Espejo, S. Ventura, F. Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 40:2 (2010) 121-144. doi: 10.1109/TSMCC.2009.2033566
- [1100] J. Derrac, S. García, F. Herrera. A Survey on Evolutionary Instance Selection and Generation. International Journal of Applied Metaheuristic Computing 1:1 (2010) 60-92. doi: 10.4018/IJAMC.2010010104
- [1103] E. Serrano, A. Quirin, J. Botia, O. Cordón. Debugging complex software systems by means of pathfinder networks. Information Sciences 180:5 (2010) 561-583.
- [1104] A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, F. Herrera. Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation 14:6 (2010) 913-941. doi: 10.1109/TEVC.2009.2039140
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc - [1111] I.J. Pérez, S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma. A Mobile Linguistic Decision Support System to Help Users in their E-Commerce Activities. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 575-580, 3-5 February 2010.
- [1112] J. Luengo, S. García, F. Herrera. A Study on the Use of Imputation Methods for Experimentation with Radial Basis Function Network Classifiers Handling Missing Attribute Values: The good synergy between RBFs and EventCovering method. Neural Networks 23 406-418. doi: 10.1016/j.neunet.2009.11.014
COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc - [1113] F.J. Cabrerizo, I.J. Pérez, E. Herrera-Viedma. Managing the Consensus in Group Decision Making in an Unbalanced Fuzzy Linguistic Context with Incomplete Information. Knowledge-Based Systems 23:2 (2010) 169-181. doi: 10.1016/j.knosys.2009.11.019
- [1114] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera. A Bibliometric Study about the Research Based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach. Internacional Journal of Hybrid Intelligent Systems 17:7 (2010) 17–32. doi: 10.3233/HIS-2010-0102
- [1235] A.G. López-Herrera, S. Alonso, F.J. Cabrerizo, C. Porcel, M.J. Cobo, E. Herrera-Viedma. Using a Visual Tool to Guide Students in the Complex Process of Learning Fuzzy Weighted Information Retrieval Systems. International Technology, Education and Development Conference 2010 (INTED 2010), Valencia (Spain), 361-370, 8-10 March 2010.
- [1165] O. Ibáñez, O. Cordón, S. Damas, J. Santamaría. Uso de Marcadores Difusos para Solucionar el Problema de la Coplanaridad en la Calibración de la Cámara en 3D. Aplicación en Identificación Forense por Superposición Craneofacial. En actas de XV Congreso español sobre tecnologías y lógica fuzzy (ESTYLF 2010), 3-5 Febrero, Huelva (España), 501-506, 2010.
- [1170] C. del Val, O. Pelz, K.H. Glatting, E. Barta and A. Hotz-Wagenblatt. PromoterSweep: a tool for identification of transcription factor binding sites. Theoretical Chemical Accounts 125 (2010) 583-591. doi: 10.1007/s00214-009-0643-8
- [1171] J. Soza-Ried, A.Hotz-Wagenblatt, KH. Glatting, C. del Val, K. Fellenberg, H. Bode, U. Frank, J. Hoheisel, M. Frohme. The transcriptome of the colonial marine hydroid Hydractinia echinata. FEBS Journal FEBS J. 2010 Jan;277(1):197-209.
- [1172] R. Romero Zaliz, C. Rubio-Escudero, I. Zwir, C. del Val. Optimization of Multi-classifiers for Computational Biology: Application to gene finding and gene expression. Theoretical Chemical Accounts, 125(3-6), 599-611. doi: 10.1007/s00214-009-0648-3
- [1173] S. Kogenaru, C. del Val, A. Hotz-Wagenblatt, K-H Glatting. TissueDistributionDBs: a repository of organism-specific tissue-distribution profiles. Theoretical Chemical Accounts. doi: 10.1007/s00214-009-0670-5
- [1186] J. Alcalá-Fdez, N. Flugy-Pape, A. Bonarini, F. Herrera. Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundamenta Informaticae 98:1 (2010) 1001-1014.
- [1193] J.L. Aznarte M., M.C. Medeiros, J.M. Benítez. Linearity testing against a fuzzy rule-based model. Fuzzy Sets and Systems Volume 161, Issue 13, 1 July 2010, Pages 1836-1851. doi: 10.1016/j.fss.2010.01.00
- [1217] J.M. Morales-del-Castillo, E. Peis, E. Herrera-Viedma. A Filtering And Recommender System For E-Scholars. International Journal Of Technology Of Enhanced Learning 2:3 (2010) 227-240.
- [1200] I.J. Pérez, F.J. Cabrerizo, E. Herrera-Viedma. A Mobile Decision Support System for Dynamic Group Decision Making Problems. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans 40:6 (2010) 1244-1256. doi: 10.1109/TSMCA.2010.2046732
- [1201] F.J. Cabrerizo, J. López-Gijón, A.A. Ruíz-Rodríguez, E. Herrera-Viedma. A Model Based on Fuzzy Linguistic Information to Evaluate the Quality of Digital Libraries. International Journal of Information Technology & Decision Making 9:3 (2010) 455-472. doi: 10.1142/S0219622010003907
- [1206] S. García, A. Fernandez, J. Luengo, F. Herrera. Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences 180 (2010) 2044–2064. doi: 10.1016/j.ins.2009.12.010
COMPLEMENTARY MATERIAL to the paper: Software and tests description - [1221] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. F. Fernández de Vega, E.Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, Studies in Computational Intelligence 269, pp. 235-261, Springer-Verlag Berlin Heidelberg.
- [1223] F.J. Cabrerizo, R. Heradio, I.J. Pérez, E. Herrera-Viedma. A Selection Process Based on Additive Consistency to Deal with Incomplete Fuzzy Linguistic Information. Journal of Universal Computer Science 16:1 (2010) 62-81. doi: 10.3217/jucs-016-01-0062
- [1227] A. Fernandez, M.J. del Jesus, F. Herrera. On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences 180:8 (2010) 1268-1291. doi: 10.1016/j.ins.2009.12.014
COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc - [1228] M.J. Gacto, R. Alcalá, F. Herrera. Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531. doi: 10.1109/TFUZZ.2010.2041008
- [1229] F.J. Berlanga, A.J. Rivera, M.J. del Jesus, F. Herrera. GP-COACH: Genetic Programming based learning of COmpact and ACcurate fuzzy rule based classification systems for high dimensional problems. Information Sciences 180:8 (2010) 1183-1200. doi: 10.1016/j.ins.2009.12.020
- [1236] A. Quirin, O. Cordón. Vmap-Layout, A Layout Algorithm for Drawing Scientograms. In: A. Abraham, A.E. Hassanien and V. Snásel (Eds): Computational Social Networks Analysis: Trends, Tools and Research Advances (Computer Communications and Networks series), Springer (2010) 241-266.
- [1237] A. Quirin, O. Cordón, B. Vargas-Quesada, F. de Moya-Anegon. Graph-based Data Mining: A New Tool for the Analysis and Comparison of Scientific Domains Represented as Scientograms. Journal of Informetrics 4:3 (2010) 291-312.
- [1242] A. Puris, R. Bello and F. Herrera. Analysis of the efficacy of a Two-Stage methodology for Ant Colony Optimization: Case of study with TSP and QAP. Expert Systems with Applications 37:7 (2010) 5443-5453. doi: 10.1016/j.eswa.2010.02.069
- [1244] A. Pérez-López, M. Gómez Narváez. La biblioteca escolar: Lectura, Tics y familia. In: Bibliotecas para a Vida II. Bibliotecas e Leitura. Lisboa: Colibri (2010) 415-433 ISBN: 978-972-772-949-4.
- [1248] M. Chica, O. Cordón, S. Damas, J. Bautista. A multiobjective GRASP for the 1/3 variant of the time and space assembly line balancing problem. In Proceedings of the Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010), 1-4 June, Cordoba (Spain), Lecture Notes in Artificial Intelligence (LNAI) 6098, 656–665, 2010.
- [1250] J. Derrac, A. Fernandez, J. Luengo, S. García, L. Sánchez, J. Alcalá-Fdez, F. Herrera. KEEL: Una herramienta software para el análisis de sistemas difusos evolutivos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 417-422, 3-5 February 2010..
- [1251] J. Luengo, F. Herrera. Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasificación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 235-240, 3-5 February 2010.
- [1255] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera. Resolución de Problemas Multi-clase con Sistemas de Clasificación Basados en Reglas Difusas Lingüísticos Basados en Aprendizaje por Parejas y Relaciones de Preferencia. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 97-102, 3-5 February 2010.
- [1253] M.J. Gacto, R. Alcalá, F. Herrera. Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proceedings of the XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), pp. 73-78, Huelva (Spain), 3-5 February 2010, ISBN 978-84-92944-02-6.
- [1254] M.J. Gacto, R. Alcalá, F. Herrera. Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means
of a Multi-Objective Evolutionary Algorithm. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), LNAI 6097, Springer, Córdoba (Spain), pp. 228-238, 1-4 June 2010, ISBN 978-3-642-13024-3.
- [1256] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera. Un algoritmo genético para el ajuste de Sistemas de Clasificación Basados en Reglas Difusas con Conjuntos Intervalo-Valorados Difusos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 115-120, 3-5 February 2010.
- [1257] A. Fernandez. Sistemas de Clasificación Basados en Reglas Difusas Lingüísticas Aplicadas a Problemas con Clases No Balanceadas. Department of Computer Science and Artificial Intelligence (DECSAI), University of Granada. March 2010.
Advisor: F. Herrera and M.J. del Jesus - [1258] A. Fernandez, M.J. del Jesus, F. Herrera. Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. Proc. of the 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS2010) 69-74, Mieres (Spain) 17-19 March 2010.
- [1259] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera. WoS Query Partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source based partitioning approaches. Journal of the American Society for Information Science and Technology 61:8 (2010) 1582-1597. doi: 10.1002/asi.21360
SOFTWARE associated to the paper - [1260] J. Santamaría, O. Cordón, S. Damas, R. Martí, R.J. Palma. GRASP & Evolutionary Path Relinking for Medical Image Registration based on Point Matching. In Proceedings of the IEEE Congress on Evolutionary Computation 2010 (CEC 2010), Barcelona (Spain), July 18-23, 2757-2764, 2010.
- [1261] J. Santamaría, M. Espinilla, A.J. Rivera, S. Romero. Potenciando el aprendizaje proactivo con ILIAS&WebQuest:
aprendiendo a paralelizar algoritmos con GPUs. En actas de XVI Jornadas de Enseñanza Universitaria de la Informática (JENUI 2010), 7-9 Julio, Santiago de Compostela, pp. 503-506, 2010.
- [1347] M. Chica, O. Cordón, S. Damas, J. Bautista. Adding diversity to two multiobjective constructive metaheuristics for time and space assembly line balancing. In: S. Lee, R. Suarez, B. Choi (Eds): Frontiers of assembly and manufacturing, Springer, 211-226, 2010.
- [1264] Francisco Chávez, Francisco Fernández, J. Alcalá-Fdez, R. Alcalá, F. Herrera, Gustavo Olague. Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010), pp. 1812-1819, Barcelona (Spain), 18-23 July 2010, ISBN 978-1-4244-8126-2..
- [1265] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Associative Classification System with Genetic Rule Selection for High- Dimensional Problems. Proceedings of the Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) , pp. 33-38, Asturias (Spain), 17 – 19 March 2010, ISBN 978-1-4244-4622-3.
- [1266] P. Shelokar, A. Quirin, O. Cordón. A Multiobjective Variant of the Subdue Graph Mining Algorithm based on the NSGA-II Selection Mechanism. In Proceedings of the IEEE Congress on Evolutionary Computation 2010 (CEC 2010), Barcelona, Spain, 18-23 July, 463-470, 2010.
- [1267] O. Cordón, A. Quirin, R. Romero Zaliz. Multiple Ant Colony System for Substructure Discovery. Proceedings Seventh International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2010), September 8-10, Brussels (Belgium), Lecture Notes in Computer Sciences 6234, 472-479.
- [1268] L. Sánchez, O. Cordón, A. Quirin, K. Trawinski. Introducing a Genetic Fuzzy Linguistic Combination Method for Bagging Fuzzy Rule-Based Multiclassification Systems. Fourth International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2010), Mieres (Spain), 75-80, March 2010.
- [1269] A. Quirin, O. Cordón, P. Shelokar, C. Zarco. Analysis of the Time Evolution of Scientograms Using the Subdue Graph Mining Algorithm. Proc. Thirteenth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU2010), Dortmund (Germany), June 28 – July 2, 2010, LNAI 6178, 310-319.
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