Salvador García
Salvador García
Full Professor of Computer Science and Artificial Intelligence. University of Granada.
Verified email at decsai.ugr.es
Title
Cited by
Cited by
Year
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
26192011
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
18652011
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
18642011
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
13982010
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, 2009
13822009
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
12932008
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
12192009
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
10302013
Data Preprocessing in Data Mining
S García, J Luengo, F Herrera
Springer, 2015
6512015
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
6322012
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, 2009
6042009
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
4302013
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy
S García, F Herrera
Evolutionary computation 17 (3), 275-306, 2009
3302009
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
269*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
2632008
A taxonomy and experimental study on prototype generation for nearest neighbor classification
I Triguero, J Derrac, S Garcia, F Herrera
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011
2622011
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
2612015
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
2382018
MRPR: a MapReduce solution for prototype reduction in big data classification
I Triguero, D Peralta, J Bacardit, S García, F Herrera
neurocomputing 150, 331-345, 2015
2072015
A memetic algorithm for evolutionary prototype selection: A scaling up approach
S García, JR Cano, F Herrera
Pattern Recognition 41 (8), 2693-2709, 2008
2042008
The system can't perform the operation now. Try again later.
Articles 1–20