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Josep Salvador Sánchez Garreta
Josep Salvador Sánchez Garreta
Full Professor of Computer Science, Universitat Jaume I, Castelló, Spain
Verified email at uji.es
Title
Cited by
Cited by
Year
Strategies for learning in class imbalance problems
R Barandela, JS Sánchez, V García, E Rangel
Pattern Recognition 36 (3), 849-851, 2003
6742003
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
3372012
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
2922004
New applications of ensembles of classifiers
R Barandela, RM Valdovinos, JS Sánchez
Pattern Analysis & Applications 6 (3), 245-256, 2003
2902003
On the k-NN performance in a challenging scenario of imbalance and overlapping
V García, RA Mollineda, JS Sánchez
Pattern Analysis and Applications 11 (3), 269-280, 2008
2172008
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
2042003
Prototype selection for the nearest neighbour rule through proximity graphs
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (6), 507-513, 1997
1941997
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
1732009
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
1712012
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
1452013
On the use of neighbourhood-based non-parametric classifiers
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (11-13), 1179-1186, 1997
1291997
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
125*2007
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
1232007
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
1212013
Two-level classifier ensembles for credit risk assessment
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (12), 10916-10922, 2012
1152012
High training set size reduction by space partitioning and prototype abstraction
JS Sánchez
Pattern Recognition 37 (7), 1561-1564, 2004
1122004
Nearest neighbour editing and condensing tools–synergy exploitation
BV Dasarathy, JS Sánchez, S Townsend
Pattern Analysis & Applications 3 (1), 19-30, 2000
1112000
An analysis of how training data complexity affects the nearest neighbor classifiers
JS Sánchez, RA Mollineda, JM Sotoca
Pattern Analysis and Applications 10 (3), 189-201, 2007
1042007
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
992019
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
982015
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