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
5412003
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
2092012
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
1882004
New applications of ensembles of classifiers
R Barandela, RM Valdovinos, JS Sánchez
Pattern Analysis & Applications 6 (3), 245-256, 2003
1822003
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
1732003
Prototype selection for the nearest neighbour rule through proximity graphs
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (6), 507-513, 1997
1691997
On the k-NN performance in a challenging scenario of imbalance and overlapping
V García, RA Mollineda, JS Sánchez
Pattern Analysis and Applications 11 (3-4), 269-280, 2008
1642008
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
1062012
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
99*2007
On the use of neighbourhood-based non-parametric classifiers
JS Sánchez, F Pla, FJ Ferri
Pattern Recognition Letters 18 (11-13), 1179-1186, 1997
991997
Nearest neighbour editing and condensing tools–synergy exploitation
BV Dasarathy, JS Sánchez, S Townsend
Pattern Analysis & Applications 3 (1), 19-30, 2000
982000
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
942013
High training set size reduction by space partitioning and prototype abstraction
JS Sánchez
Pattern Recognition 37 (7), 1561-1564, 2004
912004
Two-level classifier ensembles for credit risk assessment
AI Marqués, V García, JS Sánchez
Expert Systems with Applications 39 (12), 10916-10922, 2012
862012
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
M Lozano, JM Sotoca, JS Sánchez, F Pla, E Pękalska, RPW Duin
Pattern Recognition 39 (10), 1827-1838, 2006
822006
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
812013
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
812007
A very high level interface to teleoperate a robot via Web including augmented reality
R Marin, PJ Sanz, JS Sanchez
IEEE International Conference on Robotics and Automation 3, 2725-2730, 2002
782002
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
762007
A stochastic approach to Wilson’s editing algorithm
F Vázquez, JS Sánchez, F Pla
Pattern Recognition and Image Analysis, 471-479, 2005
732005
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