Salvador García

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Francisco HerreraProfessor Computer Science and AI, Granada University, SpainVerified email at decsai.ugr.es
Julián Luengo MartínAssociate Professor at University of GranadaVerified email at decsai.ugr.es
Joaquin Derrac RusData ScientistVerified email at gresearch.co.uk
Alberto FernándezAssociate Professor in Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceVerified email at nottingham.ac.uk
José Ramón Cano De AmoUniversity of JaenVerified email at ujaen.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceVerified email at thalesaleniaspace.com
Jose M. BenitezFull Professor, Universidad de GranadaVerified email at decsai.ugr.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénVerified email at ujaen.es
Daniel Molina CabreraComputer Science, Granada UniversityVerified email at decsai.ugr.es
Luciano SanchezProfessor of Computer Science, Oviedo UniversityVerified email at uniovi.es
Jesus Alcala-FdezAssociate Professor of Computer Science and Artificial Intelligence, University of GranadaVerified email at decsai.ugr.es
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityVerified email at ugent.be
Bartosz KrawczykAssistant Professor of Computer Science, Virginia Commonwealth University, USAVerified email at vcu.edu
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraVerified email at unavarra.es
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and ArtificialVerified email at decsai.ugr.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonVerified email at imperial.ac.uk
Diego García-GilAssistant Professor, University of GranadaVerified email at ugr.es
Michal WozniakWroclaw University of Science and Technology (Politechnika Wrocławska)Verified email at pwr.edu.pl
Jaume BacarditReader in Machine Learning, Newcastle UniversityVerified email at newcastle.ac.uk

Salvador García

Full Professor of Computer Science and Artificial Intelligence. University of Granada.

Verified email at decsai.ugr.es

Artificial Intelligence Data Science Machine Learning Soft Computing Evolutionary Algorithms


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A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms J Derrac, S García, D Molina, F Herrera Swarm and Evolutionary Computation 1 (1), 3-18, 2011	4250	2011
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, ... Information fusion 58, 82-115, 2020	4230	2020
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	2638	2015
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power S García, A Fernández, J Luengo, F Herrera Information sciences 180 (10), 2044-2064, 2010	1944	2010
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 S García, D Molina, M Lozano, F Herrera Journal of Heuristics 15, 617-644, 2009	1762	2009
An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons S García, F Herrera Journal of Machine Learning Research 9, 2677-2694, 2008	1597	2008
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics V López, A Fernández, S García, V Palade, F Herrera Information sciences 250, 113-141, 2013	1594	2013
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	1548	2009
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2015	1286	2015
SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary A Fernández, S Garcia, F Herrera, NV Chawla Journal of artificial intelligence research 61, 863-905, 2018	1070	2018
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer, 2018	870	2018
Prototype selection for nearest neighbor classification: Taxonomy and empirical study S Garcia, J Derrac, J Cano, F Herrera IEEE transactions on pattern analysis and machine intelligence 34 (3), 417-435, 2012	754	2012
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability S García, A Fernández, J Luengo, F Herrera Soft Computing 13, 959-977, 2009	728	2009
A survey of discretization techniques: taxonomy and empirical analysis in supervised learning S García, J Luengo, J Saez, V Lopez, F Herrera IEEE Transactions on Knowledge and Data Engineering 25 (4), 734-750, 2013	593	2013
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study I Triguero, S García, F Herrera Knowledge and Information Systems 42 (2), 245-284, 2015	549	2015
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera Big Data Analytics 1 (1), 1-22, 2016	492	2016
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera Evolutionary computation 17 (3), 275-306, 2009	447	2009
A survey on data preprocessing for data stream mining: Current status and future directions S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, F Herrera Neurocomputing 239, 39-57, 2017	433	2017
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets A Fernández, S García, MJ del Jesus, F Herrera Fuzzy Sets and Systems 159 (18), 2378-2398, 2008	337	2008
A taxonomy and experimental study on prototype generation for nearest neighbor classification I Triguero, J Derrac, S Garcia, F Herrera IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011	326	2011

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