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Josep Salvador Sánchez Garreta
Josep Salvador Sánchez Garreta
Full Professor of Computer Science, Universitat Jaume I, Castelló, Spain
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Strategies for learning in class imbalance problems
R Barandela, JS Sánchez, V García, E Rangel
Pattern Recognition 36 (3), 849-851, 2003
7652003
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
V García, JS Sánchez, RA Mollineda
Knowledge-Based Systems 25 (1), 13-21, 2012
4392012
The imbalanced training sample problem: Under or over sampling?
R Barandela, RM Valdovinos, JS Sanchez, FJ Ferri
Structural, Syntactic, and Statistical Pattern Recognition, 806-814, 2004
3542004
New applications of ensembles of classifiers
R Barandela, RM Valdovinos, JS Sánchez
Pattern Analysis & Applications 6, 245-256, 2003
3502003
On the k-NN performance in a challenging scenario of imbalance and overlapping
V García, RA Mollineda, JS Sánchez
Pattern Analysis and Applications 11, 269-280, 2008
2782008
Index of balanced accuracy: a performance measure for skewed class distributions
V García, R Mollineda, JS Sánchez
Pattern Recognition and Image Analysis, 441-448, 2009
2602009
Analysis of new techniques to obtain quality training sets
JS Sánchez, R Barandela, AI Marqués, R Alejo, J Badenas
Pattern Recognition Letters 24 (7), 1015-1022, 2003
2332003
Exploring the behaviour of base classifiers in credit scoring ensembles
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (11), 10244-10250, 2012
2132012
Prototype selection for the nearest neighbour rule through proximity graphs
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (6), 507-513, 1997
2071997
On the suitability of resampling techniques for the class imbalance problem in credit scoring
AI Marqués, V García, JS Sánchez
Journal of the Operational Research Society 64 (7), 1060-1070, 2013
1852013
An empirical study of the behavior of classifiers on imbalanced and overlapped data sets
V García, JS Sánchez, RA Mollineda
Progress in Pattern Recognition, Image Analysis and Applications, 397-406, 2007
1622007
A literature review on the application of evolutionary computing to credit scoring
AI Marqués, V García, JS Sánchez
Journal of the Operational Research Society 64 (9), 1384-1399, 2013
1602013
Two-level classifier ensembles for credit risk assessment
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (12), 10916-10922, 2012
1492012
On the use of neighbourhood-based non-parametric classifiers
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (11-13), 1179-1186, 1997
1461997
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
V García, AI Marqués, JS Sánchez
Information Fusion 47, 88-101, 2019
1432019
The class imbalance problem in pattern classification and learning
JS Sánchez, R Alejo, V García, RA Mollineda, JM Sotoca
IV Taller de Minería de Datos y Aprendizaje, 283-291, 2007
137*2007
An analysis of how training data complexity affects the nearest neighbor classifiers
JS Sánchez, RA Mollineda, JM Sotoca
Pattern Analysis and Applications 10, 189-201, 2007
1272007
High training set size reduction by space partitioning and prototype abstraction
JS Sánchez
Pattern Recognition 37 (7), 1561-1564, 2004
1232004
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems
V García, AI Marqués, JS Sánchez
Journal of Intelligent Information Systems 44 (1), 159-189, 2015
1182015
Nearest neighbour editing and condensing tools–synergy exploitation
BV Dasarathy, JS Sánchez, S Townsend
Pattern Analysis & Applications 3, 19-30, 2000
1142000
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