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This Website contains a list of publications of the SCI2S research group with Complementary material associated:
| Number Of Publications: 22 |
Jump to Year: 2012 (5),2011 (5), 2010 (6), 2009 (5), 2008 (1)
[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 here: datasets, experimental results and source codes.
[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 here: datasets, experimental results and source codes.
In Press:
[1479] José A. Sáez, J. Luengo, F. Herrera, On the Suitability of Fuzzy Rule-Based Classification Systems with Noisy Data. IEEE Transactions on Fuzzy Systems, doi:10.1109/TFUZZ.2012.2182774. COMPLEMENTARY MATERIAL to the paper here, in press (2012).
[1469] S. García, J. Luengo, José A. Sáez, V. López, F. Herrera, A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Transactions on Knowledge and Data Engineering. COMPLEMENTARY MATERIAL to the paper here, in press (2012).
[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, doi:10.1007/s10115-011-0424-2 COMPLEMENTARY MATERIAL to the paper here: Software, data sets, results and methods description, in press (2012).
[1383] M.J. Gacto, R. Alcalá, F. Herrera, Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181:20 (2011) 4340–4360 doi: 10.1016/j.ins.2011.02.021 COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc..
[1380] R. Alcalá, M.J. Gacto, F. Herrera, A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems doi: 10.1109/TFUZZ.2011.2131657 19:4 (2011) 666-681. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc..
[1371] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera, An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on One-vs-One and One-vs-All Schemes. Pattern Recognition 44:8 (2011) 1761-1776, doi: 10.1016/j.patcog.2011.01.017. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc..
[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 here: Software and tests description.
[1277] J. Alcalá-Fdez, A. Fernandez, J. Luengo, J. Derrac, S. García, L. Sánchez, F. Herrera, KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing 17:2-3 (2011) 255-287. SOFTWARE associated to the paper here.
[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 here: dataset partitions, results, figures, etc..
[1316] I. Triguero, S. García, F. Herrera, IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21 (12) (2010) 1984-1990, doi: 10.1109/TNN.2010.2087415. COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes.
[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..
[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 here: Software and tests description .
[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 here: dataset partitions, results, figures, etc..
[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 here.
[0834] S. García, D. Molina, M. Lozano, F. Herrera, A Study on the Use of Non-Parametric Tests for Analyzing the Evolutionary Algorithms' Behaviour: A Case Study on the CEC'2005 Special Session on Real Parameter Optimization. Journal of Heuristics 15 (2009) 617-644, doi: 10.1007/s10732-008-9080-4. COMPLEMENTARY MATERIAL to the paper here: Software and tests description.
[0898] S. García, A. Fernandez, J. Luengo, F. Herrera, A Study of Statistical Techniques and Performance Measures for Genetics-Based Machine Learning: Accuracy and Interpretability. Soft Computing 13:10 (2009) 959-977, doi:10.1007/s00500-008-0392-y. COMPLEMENTARY MATERIAL to the paper here: Software and tests description.
[0896] A. Fernandez, M.J. del Jesus, F. Herrera, Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection for Imbalanced Data-Sets. International Journal of Approximate Reasoning 50 (2009) 561-577, doi: 10.1016/j.ijar.2008.11.004. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc..
[0758] J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, F. Herrera, KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems. Soft Computing 13:3 (2009) 307-318 doi: 10.1007/s00500-008-0323-y. SOFTWARE associated to the paper here.
[0893] J. Luengo, S. García, F. Herrera, A Study on the Use of Statistical Tests for Experimentation with Neural Networks: Analysis of Parametric Test Conditions and Non-Parametric Tests. Expert Systems with Applications 36 (2009) 7798-7808 doi:10.1016/j.eswa.2008.11.041 . COMPLEMENTARY MATERIAL to the paper here: Software and tests description.
[0882] S. García, F. Herrera, An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons. Journal of Machine Learning Research 9 (2008) 2677-2694. COMPLEMENTARY MATERIAL to the paper here: Software and tests description.
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