Salvador García

Cytowane przez

	Wszystkie	Od 2017
Cytowania	29967	21778
h-indeks	59	54
i10-indeks	122	108

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74 artykuły

23 artykuły

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Współautorzy

Francisco HerreraProfessor Computer Science and AI, Granada University, SpainZweryfikowany adres z decsai.ugr.es
Julián Luengo MartínAssociate Professor at University of GranadaZweryfikowany adres z decsai.ugr.es
Joaquin Derrac RusData ScientistZweryfikowany adres z gresearch.co.uk
Alberto FernándezAssociate Professor in Computer Science and Artificial Intelligence, University of GranadaZweryfikowany adres z decsai.ugr.es
Isaac Triguero VelázquezAssociate Professor in Data Science, School of Computer Science, University of NottinghamZweryfikowany adres z nottingham.ac.uk
José Ramón Cano De AmoUniversity of JaenZweryfikowany adres z ujaen.es
Sergio Ramírez-GallegoPhD. Student Computer Science, University of GranadaZweryfikowany adres z decsai.ugr.es
Jose M. BenitezFull Professor, Universidad de GranadaZweryfikowany adres z decsai.ugr.es
Jesus Alcala-FdezAssociate Professor of Computer Science and Artificial Intelligence, University of GranadaZweryfikowany adres z decsai.ugr.es
María José Del Jesus DíazAssociate professor of Computer Science, University of JaénZweryfikowany adres z ujaen.es
Daniel Molina CabreraComputer Science, Granada UniversityZweryfikowany adres z decsai.ugr.es
Luciano SanchezProfessor of Computer Science, Oviedo UniversityZweryfikowany adres z uniovi.es
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent UniversityZweryfikowany adres z ugent.be
Bartosz KrawczykAssistant Professor of Computer Science, Virginia Commonwealth University, USAZweryfikowany adres z vcu.edu
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de NavarraZweryfikowany adres z unavarra.es
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and ArtificialZweryfikowany adres z decsai.ugr.es
Victoria Lopez MoralesResearch Associate, Imperial College LondonZweryfikowany adres z imperial.ac.uk
Diego García-GilAssistant Professor, University of GranadaZweryfikowany adres z ugr.es
Jaume BacarditReader in Machine Learning, Newcastle UniversityZweryfikowany adres z newcastle.ac.uk
Michal WozniakWroclaw University of Science and Technology (Politechnika Wrocławska)Zweryfikowany adres z pwr.edu.pl

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Salvador García

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

Zweryfikowany adres z decsai.ugr.es

Artificial Intelligence Data Science Machine Learning Soft Computing Evolutionary Algorithms


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	3673	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	2581	2020
Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcalá, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ... Journal of Multiple-Valued Logic and Soft Computing 17 (2-3), 255-287, 2011	2384	2011
Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ... Journal of Multiple-Valued Logic & Soft Computing 17, 2011	2382	2011
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	1756	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 (6), 617-644, 2009	1522	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	1491	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	1412	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 (3), 307-318, 2009	1373	2009
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2015	1078	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	743	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	709	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 (10), 959-977, 2009	693	2009
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer, 2018	602	2018
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	536	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	451	2015
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera Evolutionary computation 17 (3), 275-306, 2009	412	2009
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	376	2016
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	375	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	311	2008

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