Salvador García 个人学术档案

引用次数

	总计	2019 年至今
引用	43884	30260
h 指数	65	54
i10 指数	141	123

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Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, Spain在 decsai.ugr.es 的电子邮件经过验证
Julián Luengo MartínAssociate Professor at University of Granada在 decsai.ugr.es 的电子邮件经过验证
Joaquin Derrac RusData Scientist在 gresearch.co.uk 的电子邮件经过验证
Alberto Fernández HilarioFull Professor of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Isaac Triguero VelázquezDistinguished Senior Research Fellow at University of Granada, Associate Professor in Data Science在 nottingham.ac.uk 的电子邮件经过验证
José Ramón Cano De AmoUniversity of Jaen在 ujaen.es 的电子邮件经过验证
Sergio Ramírez-GallegoPhD. ML and Computer Science在 thalesaleniaspace.com 的电子邮件经过验证
Jose M. BenitezFull Professor, Universidad de Granada在 decsai.ugr.es 的电子邮件经过验证
Daniel Molina CabreraComputer Science, Granada University在 decsai.ugr.es 的电子邮件经过验证
María José Del Jesus DíazAssociate professor of Computer Science, University of Jaén在 ujaen.es 的电子邮件经过验证
Luciano SanchezProfessor of Computer Science, Oviedo University在 uniovi.es 的电子邮件经过验证
Jesus Alcala-FdezFull Professor of Computer Science and Artificial Intelligence, University of Granada在 decsai.ugr.es 的电子邮件经过验证
Daniel PeraltaPostdoctoral researcher - Doctor Assistant, Department of Information Technology. Ghent University在 ugent.be 的电子邮件经过验证
Bartosz KrawczykAssistant Professor, Center for Imaging Science, Rochester Institute of Technology, USA在 rit.edu 的电子邮件经过验证
Mikel GalarAssociate Professor of Computer Science and Artificial Intelligence, Universidad Pública de Navarra在 unavarra.es 的电子邮件经过验证
Sergio González VázquezPhD on Information & Communications Technology. Department of Computer Science and Artificial在 decsai.ugr.es 的电子邮件经过验证
Victoria Lopez MoralesResearch Associate, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Diego García-GilAssistant Professor, University of Granada在 ugr.es 的电子邮件经过验证
Michal WozniakWroclaw University of Science and Technology (Politechnika Wrocławska)在 pwr.edu.pl 的电子邮件经过验证
Jaume BacarditProfessor of Artificial Intelligence, Newcastle University在 newcastle.ac.uk 的电子邮件经过验证

关注

Salvador García

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

在 decsai.ugr.es 的电子邮件经过验证

Artificial Intelligence Data Science Machine Learning Soft Computing Evolutionary Algorithms


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	7001	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	5011	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	2902	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	2184	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	1873	2009
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	1809	2013
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	1705	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	1670	2009
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	1661	2018
Data Preprocessing in Data Mining S García, J Luengo, F Herrera Springer, 2015	1627	2015
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera Springer, 2018	1253	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	797	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	777	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	667	2016
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	653	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	647	2015
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	523	2017
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera Evolutionary computation 17 (3), 275-306, 2009	488	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	395	2020
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	358	2008

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