Salvador García

Dikutip oleh

	Semua	Sejak 2019
Kutipan	47332	33743
indeks-h	65	55
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Akses publik

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83 artikel

22 artikel

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

Ikuti

Salvador García

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

Email yang diverifikasi di decsai.ugr.es

Artificial Intelligence Data Science Machine Learning Soft Computing Evolutionary Algorithms


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	8388	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	5283	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	2959	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	2278	2010
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	1915	2018
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	1896	2013
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	1784	2009
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2015	1774	2015
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	1757	2008
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	1719	2009
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer, 2018	1397	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	820	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	799	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	776	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	690	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	690	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	553	2017
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera Evolutionary computation 17 (3), 275-306, 2009	506	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	447	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	404	2020

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