Luciano Sanchez
Luciano Sanchez
Professor of Computer Science, Oviedo University
Verified email at
Cited by
Cited by
Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
J Derrac, S Garcia, L Sanchez, F Herrera
J. Mult. Valued Logic Soft Comput 17, 2015
KEEL: a software tool to assess evolutionary algorithms for data mining problems
J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ...
Soft Computing 13, 307-318, 2009
KEEL 3.0: an open source software for multi-stage analysis in data mining
I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, ...
Atlantis Press, 2017
Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms
MJ Del Jesus, F Hoffmann, LJ Navascués, L Sánchez
IEEE Transactions on Fuzzy Systems 12 (3), 296-308, 2004
Combining GP operators with SA search to evolve fuzzy rule based classifiers
L Sánchez, I Couso, JA Corrales
Information Sciences 136 (1-4), 175-191, 2001
Solving electrical distribution problems using hybrid evolutionary data analysis techniques
O Cordón, F Herrera, L Sánchez
Applied Intelligence 10, 5-24, 1999
Lithium-ion battery degradation indicators via incremental capacity analysis
D Anseán, VM García, M González, C Blanco-Viejo, JC Viera, YF Pulido, ...
IEEE Transactions on Industry Applications 55 (3), 2992-3002, 2019
Genetic learning of fuzzy rules based on low quality data
L Sánchez, I Couso, J Casillas
Fuzzy Sets and Systems 160 (17), 2524-2552, 2009
Induction of descriptive fuzzy classifiers with the Logitboost algorithm
J Otero, L Sánchez
Soft Computing 10, 825-835, 2006
Advocating the use of imprecisely observed data in genetic fuzzy systems
L Sánchez, I Couso
IEEE Transactions on Fuzzy Systems 15 (4), 551-562, 2007
Higher order models for fuzzy random variables
I Couso, L Sánchez
Fuzzy Sets and Systems 159 (3), 237-258, 2008
Similarity and dissimilarity measures between fuzzy sets: A formal relational study
I Couso, L Garrido, L Sánchez
Information Sciences 229, 122-141, 2013
Random sets and random fuzzy sets as ill-perceived random variables
I Couso, D Dubois, L Sánchez
SpringerBriefs in Computational Intelligence, 2014
Boosting fuzzy rules in classification problems under single‐winner inference
L Sánchez, J Otero
International journal of intelligent systems 22 (9), 1021-1034, 2007
Mutual information-based feature selection and partition design in fuzzy rule-based classifiers from vague data
L Sánchez, MR Suárez, JR Villar, I Couso
International Journal of Approximate Reasoning 49 (3), 607-622, 2008
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
AM Palacios, L Sánchez, I Couso
International Journal of Approximate Reasoning 51 (8), 993-1009, 2010
Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria
L Sánchez, I Couso, J Casillas
2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision …, 2007
Interval-valued GA-P algorithms
L Sánchez
IEEE Transactions on Evolutionary Computation 4 (1), 64-72, 2000
Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms
L Sánchez, J Otero, I Couso
Soft Computing 13, 467-479, 2009
A genetic fuzzy linguistic combination method for fuzzy rule-based multiclassifiers
K Trawiński, O Cordon, L Sanchez, A Quirin
IEEE Transactions on Fuzzy Systems 21 (5), 950-965, 2013
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