José Salvador Sánchez

ORCID

Publication Activity (10 Years)

Years Active: 1997-2021
Publications (10 Years): 11

Top Venues

Publications

Angélica Guzmán Ponce, José Salvador Sánchez, Rosa Maria Valdovinos, José Raymundo Marcial-Romero
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. Expert Syst. Appl. 168 (2021)
Manuel J. Marín-Jiménez, Aythami Morales, Julian Fiérrez, Antonio Pertusa, Hugo Proença, José Salvador Sánchez
Editorial for special section at Pattern Recognition Letters - IbPRIA 2019. Pattern Recognit. Lett. 133 (2020)
Ana Isabel Marqués, Vicente García, José Salvador Sánchez
Ranking-based MCDM models in financial management applications: analysis and emerging challenges. Prog. Artif. Intell. 9 (3) (2020)
Vicente García, José Salvador Sánchez, Alberto Ochoa Ortíz, Abraham López-Najera
Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure. IbPRIA (1) (2019)
Pedro Latorre Carmona, V. Javier Traver, José Salvador Sánchez, Enrique Tajahuerce
Online reconstruction-free single-pixel image classification. Image Vis. Comput. 86 (2019)
Laura Cleofas-Sánchez, Anabel Pineda Briseño, Rosa María Valdovinos Rosas, José Salvador Sánchez, Vicente García Jiménez, Oscar Camacho Nieto, Héctor M. Pérez Meana, Mariko Nakano-Miyatake
Empirical Study of the Associative Approach in the Context of Classification Problems. Computación y Sistemas 23 (2) (2019)
Carlos Ramírez Piña, José Salvador Sánchez, Rosa María Valdovinos Rosas, José Antonio Hernández Servín
A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition. CIARP (2018)
Vicente García, José Salvador Sánchez, Laura Cleofas-Sánchez, Humberto de Jesús Ochoa Domínguez, Francisco López-Orozco
An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification. IbPRIA (2017)
Vicente García, Ana Isabel Marqués, Laura Cleofas-Sánchez, José Salvador Sánchez
Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. HAIS (2016)
Laura Cleofas-Sánchez, Vicente García, A. I. Marqués, José Salvador Sánchez
Financial distress prediction using the hybrid associative memory with translation. Appl. Soft Comput. 44 (2016)
Laura Cleofas-Sánchez, José Salvador Sánchez, Vicente García, Rosa M. Valdovinos R.
Associative learning on imbalanced environments: An empirical study. Expert Syst. Appl. 54 (2016)
Vicente García, José Salvador Sánchez
Mapping microarray gene expression data into dissimilarity spaces for tumor classification. Inf. Sci. 294 (2015)
Vicente García, Ana Isabel Marqués, José Salvador Sánchez
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. J. Intell. Inf. Syst. 44 (1) (2015)
Vicente García, José Salvador Sánchez, Humberto de Jesús Ochoa Domínguez, Laura Cleofas-Sánchez
Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise. IbPRIA (2015)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
A bias correction function for classification performance assessment in two-class imbalanced problems. Knowl. Based Syst. 59 (2014)
Oscar Colteli, Ximo Grandi, Ricardo Tosca, Pedro Latorre Carmona, José Salvador Sánchez, Luis Vicente Lizan, Francisco Ros-Bernal, Conrrado Martinez-Cadenas
Designing serious games for learning support in medicine studies: A specific method to elicit and formalize requirements. FIE (2014)
A. I. Marqués, Vicente García, José Salvador Sánchez
A literature review on the application of evolutionary computing to credit scoring. J. Oper. Res. Soc. 64 (9) (2013)
Ana Isabel Marqués, Vicente García, José Salvador Sánchez
On the suitability of resampling techniques for the class imbalance problem in credit scoring. J. Oper. Res. Soc. 64 (7) (2013)
Laura Cleofas-Sánchez, Vicente García, Raúl Martín-Félez, Rosa M. Valdovinos R., José Salvador Sánchez, Oscar Camacho Nieto
Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study. MCPR (2013)
Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez
Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study. ICPRAM (1) (2012)
Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez
One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices. SSPR/SPR (2012)
Raúl Martín-Félez, Javier Ortells, Ramón Alberto Mollineda, José Salvador Sánchez
Efficient Gait-based Gender Classification through Feature Selection. ICPRAM (2) (2012)
Vicente García, José Salvador Sánchez, Raúl Martín-Félez, Ramón Alberto Mollineda
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets. Prog. Artif. Intell. 1 (4) (2012)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance. Knowl. Based Syst. 25 (1) (2012)
A. I. Marqués, Vicente García, José Salvador Sánchez
Two-level classifier ensembles for credit risk assessment. Expert Syst. Appl. 39 (12) (2012)
José Salvador Sánchez, Vicente García, Ana Isabel Marqués
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. ICONIP (2) (2012)
Vicente García, Ana Isabel Marqués, José Salvador Sánchez
Improving Risk Predictions by Preprocessing Imbalanced Credit Data. ICONIP (2) (2012)
Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez
Gender Classification from Pose-Based GEIs. ICCVG (2012)
Vicente García, A. I. Marqués, José Salvador Sánchez
On the use of data filtering techniques for credit risk prediction with instance-based models. Expert Syst. Appl. 39 (18) (2012)
A. I. Marqués, Vicente García, José Salvador Sánchez
Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Syst. Appl. 39 (11) (2012)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
On the Suitability of Numerical Performance Measures for Class Imbalance Problems. ICPRAM (1) (2012)
José Salvador Sánchez, Vicente García, Ramón Alberto Mollineda
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. MLDM (2011)
Mónica Millán-Giraldo, José Salvador Sánchez, V. Javier Traver
On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies. Neural Comput. Appl. 20 (7) (2011)
Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez
Human Recognition Based on Gait Poses. IbPRIA (2011)
Mónica Millán-Giraldo, Vicente Javier Traver, José Salvador Sánchez
On-Line Classification of Data Streams with Missing Values Based on Reinforcement Learning. IbPRIA (2011)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data. IbPRIA (2011)
Mónica Millán-Giraldo, José Salvador Sánchez, V. Javier Traver
A Comparison of Techniques for Handling Incomplete Input Data with a Focus on Attribute Relevance Influence. ICMLA (2010)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
Theoretical Analysis of a Performance Measure for Imbalanced Data. ICPR (2010)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem. IEA/AIE (1) (2010)
Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez
Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition. ICPR (2010)
Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez
A Gender Recognition Experiment on the CASIA Gait Database Dealing with Its Imbalanced Nature. VISAPP (2) (2010)
Mónica Millán-Giraldo, Robert P. W. Duin, José Salvador Sánchez
Dissimilarity-based classification of data with missing attributes. CIP (2010)
Damaris Pascual, Filiberto Pla, José Salvador Sánchez
A Density-based Hierarchical Clustering Algorithm for Highly Overlapped Distributions with Noisy Points. CCIA (2010)
Damaris Pascual, Filiberto Pla, José Salvador Sánchez
Cluster validation using information stability measures. Pattern Recognit. Lett. 31 (6) (2010)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. IbPRIA (2009)
Mónica Millán-Giraldo, José Salvador Sánchez, V. Javier Traver
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes. ICONIP (1) (2009)
Rosa Maria Valdovinos, José Salvador Sánchez
Combining Multiple Classifiers with Dynamic Weighted Voting. HAIS (2009)
Damaris Pascual, Filiberto Pla, José Salvador Sánchez
Cluster Stability Assessment Based on Theoretic Information Measures. CIARP (2008)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
A New Performance Evaluation Method for Two-Class Imbalanced Problems. SSPR/SPR (2008)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez
-NN performance in a challenging scenario of imbalance and overlapping. Pattern Anal. Appl. 11 (3-4) (2008)
Fernando Vázquez, José Salvador Sánchez, Filiberto Pla
Learning and Forgetting with Local Information of New Objects. CIARP (2008)
Vicente García, Ramón Alberto Mollineda, José Salvador Sánchez, Roberto Alejo, José Martínez Sotoca
When Overlapping Unexpectedly Alters the Class Imbalance Effects. IbPRIA (2) (2007)
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. IWANN (2007)
Rosa Maria Valdovinos, José Salvador Sánchez
Nearest Neighbor Rule. IbPRIA (1) (2007)
Rosa Maria Valdovinos, José Salvador Sánchez, Eduardo Gasca
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. IbPRIA (2) (2007)
Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda
An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. CIARP (2007)
José Salvador Sánchez, Ramón Alberto Mollineda, José Martínez Sotoca
An analysis of how training data complexity affects the nearest neighbor classifiers. Pattern Anal. Appl. 10 (3) (2007)
José Martínez Sotoca, Filiberto Pla, José Salvador Sánchez
Band Selection in Multispectral Images by Minimization of Dependent Information. IEEE Trans. Syst. Man Cybern. Part C 37 (2) (2007)
M. Lozano, José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla, Elzbieta Pekalska, Robert P. W. Duin
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. Pattern Recognit. 39 (10) (2006)
Fernando Vázquez, José Salvador Sánchez, Filiberto Pla
On the Use of Labelled and Unlabelled Data to Improve Nearest Neighbor Classification. Inteligencia Artif. 10 (31) (2006)
Vicente García, Roberto Alejo, José Salvador Sánchez, José Martínez Sotoca, Ramón Alberto Mollineda
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. IDEAL (2006)
Eréndira Rendón, José Salvador Sánchez
Clustering Based on Compressed Data for Categorical and Mixed Attributes. SSPR/SPR (2006)
Francesc J. Ferri, José Salvador Sánchez, Filiberto Pla
Complexity reduction in efficient prototype-based classification. Pattern Recognit. 39 (2) (2006)
Eduardo Gasca, José Salvador Sánchez, R. Alonso
Eliminating redundancy and irrelevance using a new MLP-based feature selection method. Pattern Recognit. 39 (2) (2006)
Roberto Alejo, Vicente García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. IDEAL (2006)
José Salvador Sánchez, A. I. Marqués
An LVQ-based adaptive algorithm for learning from very small codebooks. Neurocomputing 69 (7-9) (2006)
Damaris Pascual, Filiberto Pla, José Salvador Sánchez
Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions. IDEAL (2006)
José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
A meta-learning framework for pattern classification by means of data complexity measures. Inteligencia Artif. 10 (29) (2006)
Luisa Micó, Francisco Moreno-Seco, José Salvador Sánchez, José Martínez Sotoca, Ramón Alberto Mollineda
On the Use of Different Classification Rules in an Editing Task. SSPR/SPR (2006)
Ramón Alberto Mollineda, José Salvador Sánchez, José Martínez Sotoca
Data Characterization for Effective Prototype Selection. IbPRIA (2) (2005)
Ricardo Barandela, J. K. Hernández, José Salvador Sánchez, Francesc J. Ferri
Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization. CCIA (2005)
Rosa Maria Valdovinos, José Salvador Sánchez
Class-dependant resampling for medical applications. ICMLA (2005)
Rosa Maria Valdovinos, José Salvador Sánchez, Ricardo Barandela
Dynamic and Static Weighting in Classifier Fusion. IbPRIA (2) (2005)
Fernando Vázquez, José Salvador Sánchez, Filiberto Pla
A Stochastic Approach to Wilson's Editing Algorithm. IbPRIA (2) (2005)
Ricardo Barandela, Francesc J. Ferri, José Salvador Sánchez
Decision boundary preserving prototype selection for nearest neighbor classification. Int. J. Pattern Recognit. Artif. Intell. 19 (6) (2005)
José Salvador Sánchez
High training set size reduction by space partitioning and prototype abstraction. Pattern Recognit. 37 (7) (2004)
José Salvador Sánchez, José Martínez Sotoca, Filiberto Pla
Efficient nearest neighbor classification with data reduction and fast search algorithms. SMC (5) (2004)
Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez, Francesc J. Ferri
The Imbalanced Training Sample Problem: Under or over Sampling? SSPR/SPR (2004)
José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule. ICPR (3) (2004)
Ricardo Barandela, E. Rangel, José Salvador Sánchez, Francesc J. Ferri
Restricted Decontamination for the Imbalanced Training Sample Problem. CIARP (2003)
María Teresa Lozano, José Salvador Sánchez, Filiberto Pla
Reducing Training Sets by NCN-based Exploratory Procedures. IbPRIA (2003)
Ricardo Barandela, Rosa Maria Valdovinos, José Salvador Sánchez
New Applications of Ensembles of Classifiers. Pattern Anal. Appl. 6 (3) (2003)
María Teresa Lozano, José Salvador Sánchez, Filiberto Pla
Using the Geometrical Distribution of Prototypes for Training Set Condensing. CAEPIA (2003)
José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo, Jorge Badenas
Analysis of new techniques to obtain quality training sets. Pattern Recognit. Lett. 24 (7) (2003)
Ricardo Barandela, José Salvador Sánchez, Vicente García, E. Rangel
Strategies for learning in class imbalance problems. Pattern Recognit. 36 (3) (2003)
José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla
Estimating Feature Weights For Distance-Based Classification. PRIS (2003)
Ricardo Barandela, José Salvador Sánchez, Vicente García, Francesc J. Ferri
Learning from Imbalanced Sets through Resampling and Weighting. IbPRIA (2003)
José Salvador Sánchez, Filiberto Pla
Advances in Pattern Recognition and Image Analysis - Editorial. Int. J. Pattern Recognit. Artif. Intell. 16 (3) (2002)
José Salvador Sánchez, Ricardo Barandela, Francesc J. Ferri
On Filtering the Training Prototypes in Nearest Neighbour Classification. CCIA (2002)
Filiberto Pla, José Miguel Sanchiz Martí, José Salvador Sánchez
An integral automation of industrial fruit and vegetable sorting by machine vision. ETFA (2) (2001)
José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. SIBGRAPI (2001)
José Salvador Sánchez, Filiberto Pla, M. C. Herrero
Using the Dual of Proximity Graphs for Binary Decision Tree Design. SSPR/SPR (2000)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
Learning Vector Quantization With Alternative Distance Criteria. ICIAP (1999)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
From the Nearest Neighbour Rule to Decision Trees. IEA/AIE (Vol. 2) (1998)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
Improving the k-NCN classification rule through heuristic modifications. Pattern Recognit. Lett. 19 (13) (1998)
Francesc J. Ferri, José Salvador Sánchez, Filiberto Pla
Editing Prototypes in the Finite Sample Size Case Using Alternative Neighbourhoods. SSPR/SPR (1998)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
A Voronoi-diagram-based approach to oblique decision tree induction. ICPR (1998)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
On the use of neighbourhood-based non-parametric classifiers. Pattern Recognit. Lett. 18 (11-13) (1997)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
Prototype selection for the nearest neighbour rule through proximity graphs. Pattern Recognit. Lett. 18 (6) (1997)
José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
On the equivalency between decision tree classifiers and the nearest neighbour rule. Inteligencia Artif. 1 (4) (1997)

José Salvador Sánchez.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

José Salvador Sánchez