SCI2S Publications (C. Cornelis)

Number of Results: 41

Jump to Year: 2018, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009

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2018 (2)

• [2324] S. Vluymans, A. Fernandez, C. Cornelis, Y. Saeys, F. Herrera. Dynamic Affinity-based Classification of Multi-Class Imbalanced Data with One-vs-One Decomposition: a Fuzzy Rough Set Approach. Knowledge and Information Systems 56:1 (2018) 55–84. doi: 10.1007/s10115-017-1126-1
  
• [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
  

2016 (5)

• [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
  
• [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
  
• [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
  
• [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
  

2015 (3)

• [1846] E. Ramentol, S. Vluymans, N. Verbiest, Y. Caballero, R. Bello, C. Cornelis, F. Herrera. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Transactions on Fuzzy Systems 23:5 (2015) 1622-1637. doi: 10.1109/TFUZZ.2014.2371472
  
• [1923] L. D’eer, N. Verbiest, C. Cornelis, L. Godo. A Comprehensive Study of Implicator-Conjunctor Based and Noise-Tolerant Fuzzy Rough Sets: Definitions, Properties and Robustness Analysis. Fuzzy Sets and Systems 275 (2015) 1-38. doi: 10.1016/j.fss.2014.11.018
  
• [1930] I. Triguero, M. Galar, S. Vluymans, C. Cornelis, H. Bustince, F. Herrera, Y. Saeys. Evolutionary Undersampling for Imbalanced Big Data Classification. IEEE Congress on Evolutionary Computation (CEC 2015), Sendai (Japan), 715-722, May 25-28, 2015.
  

2014 (7)

• [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
  
• [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
  
• [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
  
• [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.
  
• [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
  
• [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.
  
• [1922] M. Restrepo, C. Cornelis, J. Gómez. Partial Order Relation for Approximation Operators in Covering Based Rough Sets. Information Sciences 284 (2014) 44-59. doi: 10.1016/j.ins.2014.06.032
  

2013 (7)

• [1537] J. Derrac, N. Verbiest, S. García, C. Cornelis, F. Herrera. On the use of Evolutionary Feature Selection for Improving Fuzzy Rough Set Based Prototype Selection. Soft Computing 17:2 (2013) 223-238. doi: 10.1007/s00500-012-0888-3
  
• [1562] G. Hurtado, S. Schockaert, C. Cornelis, H. Naessens. Using Semi-Structured Data for Assessing Research Paper Similarity. Information Sciences 221:1 (2013) 245-261. doi: /10.1016/j.ins.2012.09.044
  
• [1634] N. Verbiest, C. Cornelis, F. Herrera. FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognition 46:10 (2013) 2770-2782. doi: 10.1016/j.patcog.2013.03.004
  
• [1654] P. Victor, N. Verbiest, C. Cornelis, M. De Cock. Enhancing the Trust-Based Recommendation Process with Explicit Distrust. ACM Transactions on the Web 7(2) (2013). doi: 10.1145/2460383.2460385
  
• [1746] L. D’eer, N. Verbiest, C. Cornelis, L. Godo. Implicator-Conjunctor Based Models of Fuzzy Rough Sets: Definitions and Properties. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 169-179, 2013.
  
• [1747] M. Restrepo, C. Cornelis, J. Gómez. Characterization of Neighborhood Operators for Covering Based Rough Sets, using Duality and Adjointness. Proceedings of the 4th international workshop on Knowledge Discovery, Knowledge Management and Decision Support (EUREKA 2013), p. 98-104, 2013.
  
• [1748] N. Verbiest, C. Cornelis, F. Herrera. OWA-FRPS: A Prototype Selection method based on Ordered Weighted Average Fuzzy Rough Set Theory. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 180-190, 2013..
  

2012 (7)

• [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
  
• [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).
  
• [1534] N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma. Trust and distrust aggregation enhanced with path length incorporation. Fuzzy Sets and Systems , 202:1 (2012) 61–74. doi: 10.1016/j.fss.2012.02.007
  
• [1552] E. Ramentol, N. Verbiest, R. Bello, Y. Caballero, C. Cornelis, F. Herrera. SMOTE-FRST: A new resampling method using fuzzy rough set theory. The 10th International FLINS Conference on uncertainty Modeling in Knowledge Engineering and Decision Making, August 26-29, Istanbul, Turkey, pp. 800-805.
  
• [1556] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera. Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. Proceedings of the 13th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2012), Lecture Notes in Artificial Intelligence (LNAI) 7637, pp. 169-178, Cartagena de Indias, (Colombia), November 13-16, 2012.
  
• [1616] B. Van Gasse, G. Deschrijver, C. Cornelis, E. E. Kerre. The Standard Completeness of Interval-Valued Monoidal t-Norm Based Logic. Information Sciences 189:1 (2012) 63-76. doi: 10.1016/j.ins.2011.11.043
  
• [1617] D. Mourisse, E. Lefever, N. Verbiest, Y. Saeys, M. De Cock, C. Cornelis. SBFC: An Efficient Feature Frequency-Based Approach to Tackle Cross-Lingual Word Sense Disambiguation. in: Proceedings of the 15th International Conference on Text, Speech and Dialogue (TSD2012), p. 248-255, 2012.
  

2011 (6)

• [1325] P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma. Practical Aggregation Operators for Gradual Trust and Distrust. Fuzzy Sets and Systems 184:1 (2011) 126-147. doi: 10.1016/j.fss.2010.10.015
  
• [1413] J. Derrac, C. Cornelis, S. García, F. Herrera. A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. 11th International Work-Conference on Artificial Neural Networks (IWANN'11), Lecture Notes on Computer Science 6691, Torremolinos (Spain), pp. 174-182, June 8-10, 2011.
  
• [1445] J. Derrac, S. García, C. Cornelis, F. Herrera. Una aplicación de conjuntos rugosos difusos en selección de características para la mejora de métodos de selección de instancias evolutivos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011.
  
• [1454] Richard Jensen, C. Cornelis. Fuzzy Rough Nearest Neighbour Classification and Prediction. Theoretical Computer Science 412:42 (2011) 5871-5884. doi: 10.1016/j.tcs.2011.05.040
  
• [1455] T. Fayruzov, J. Janssen, D. Vermeir, C. Cornelis, M. De Cock. Modelling Gene and Protein Regulatory Networks with Answer Set Programming. International Journal of Data Mining and Bioinformatics 5:2 (2011) 209-229. doi: 10.1504/IJDMB.2011.039178
  
• [1456] P. Victor, C. Cornelis, M. De Cock, A. Teredesai. Trust- and Distrust-Based Recommendations for Controversial Reviews. IEEE Intelligent Systems 26:1 (2011) 48-55. doi: 10.1109/MIS.2011.22
  

2010 (3)

• [1377] C. Cornelis, P. Victor, E. Herrera-Viedma. Ordered weighted averaging approaches for aggregating gradual trust and distrust. Proceedings of XV Congreso Español sobre Tecnologías y Lógica Fuzzy, 555-560 .
  
• [1378] P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma. Bilattice-Based Aggregation Operators for Gradual Trust and Distrust. Proceedings of the 9th International FLINS Conference on Computational Intelligence: Foundations and Applications, Chengdu (China), 505-510, 2-4 August 2010.
  
• [1379] N. Verbiest, C. Cornelis, P. Victor, E. Herrera-Viedma. Strategies for Incorporating Knowledge Defects and Path Length in Trust Aggregation. Proceedings of The 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2010), p. 450-459.
  

2009 (1)

• [1210] P. Victor, C. Cornelis, M. De Cock, E. Herrera-Viedma. Aggregation of Gradual Trust and Distrust . EUROFUSE09 Workshop on Preference Modelling and Decision Analysis, Pamplona (Spain), 259-264, 16-18 September 2009.