Salvador García

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, 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 Fernández HilarioFull Professor of 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
Daniel Molina CabreraComputer Science, Granada UniversityVerified email at decsai.ugr.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
Luciano SanchezProfessor of Computer Science, Oviedo UniversityVerified email at uniovi.es
Jesus Alcala-FdezFull 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, Center for Imaging Science, Rochester Institute of Technology, USAVerified email at rit.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 BacarditProfessor of Artificial Intelligence, 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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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	7971	2020
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	5205	2011
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, 255-287, 2015	2925	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	2255	2010
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	1862	2013
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	1836	2018
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	1771	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	1741	2008
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2015	1724	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	1706	2009
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer, 2018	1356	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	814	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	792	2009
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera Big data analytics 1, 1-22, 2016	742	2016
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	682	2015
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	677	2013
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	544	2017
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera Evolutionary computation 17 (3), 275-306, 2009	502	2009
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review J Carrasco, S García, MM Rueda, S Das, F Herrera Swarm and Evolutionary Computation 54, 100665, 2020	432	2020
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities S González, S García, J Del Ser, L Rokach, F Herrera Information Fusion 64, 205-237, 2020	382	2020

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