Salvador García

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	Todos	Desde 2019
Citações	46346	32798
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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, SpainEmail confirmado em decsai.ugr.es
Julián Luengo MartínAssociate Professor at University of GranadaEmail confirmado em decsai.ugr.es
Joaquin Derrac RusData ScientistEmail confirmado em gresearch.co.uk
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of GranadaEmail confirmado em decsai.ugr.es
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data ScienceEmail confirmado em nottingham.ac.uk
José Ramón Cano De AmoUniversity of JaenEmail confirmado em ujaen.es
Daniel Molina CabreraComputer Science, Granada UniversityEmail confirmado em decsai.ugr.es
Sergio Ramírez-GallegoPhD. ML and Computer ScienceEmail confirmado em thalesaleniaspace.com
Jose M. BenitezFull Professor, Universidad de GranadaEmail confirmado em decsai.ugr.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénEmail confirmado em ujaen.es
Luciano SanchezProfessor of Computer Science, Oviedo UniversityEmail confirmado em uniovi.es
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of GranadaEmail confirmado em decsai.ugr.es
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityEmail confirmado em ugent.be
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USAEmail confirmado em rit.edu
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraEmail confirmado em unavarra.es
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and ArtificialEmail confirmado em decsai.ugr.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonEmail confirmado em imperial.ac.uk
Diego García-GilAssistant Professor, University of GranadaEmail confirmado em ugr.es
Michal WozniakWroclaw University of Science and Technology (Politechnika Wrocławska)Email confirmado em pwr.edu.pl
Jaume BacarditProfessor of Artificial Intelligence, Newcastle UniversityEmail confirmado em newcastle.ac.uk

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Salvador García

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

Email confirmado em decsai.ugr.es

Artificial Intelligence Data Science Machine Learning Soft Computing Evolutionary Algorithms


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	8030	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	5215	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	2934	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	2256	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	1867	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	1854	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	1776	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	1743	2008
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2015	1725	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	1709	2009
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer, 2018	1360	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	813	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	745	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	681	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	503	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	437	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	384	2020

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