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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
7012003
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
3772012
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
3182004
New applications of ensembles of classifiers
R Barandela, RM Valdovinos, JS Sánchez
Pattern Analysis & Applications 6, 245-256, 2003
3172003
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
2402008
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
2202003
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
1972009
Prototype selection for the nearest neighbour rule through proximity graphs
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (6), 507-513, 1997
1971997
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
1952012
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
1642013
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
1372007
On the use of neighbourhood-based non-parametric classifiers
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (11-13), 1179-1186, 1997
1351997
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
1322013
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
131*2007
Two-level classifier ensembles for credit risk assessment
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (12), 10916-10922, 2012
1252012
High training set size reduction by space partitioning and prototype abstraction
JS Sánchez
Pattern Recognition 37 (7), 1561-1564, 2004
1202004
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
1152007
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
1142019
Nearest neighbour editing and condensing tools–synergy exploitation
BV Dasarathy, JS Sánchez, S Townsend
Pattern Analysis & Applications 3, 19-30, 2000
1092000
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
1062015
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