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J. Salvador Sánchez 0001
José Salvador Sánchez 0001
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- affiliation: Jaume I University, Spain
Other persons with the same name
- José Salvador Sánchez — disambiguation page
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2020 – today
- 2024
- [j49]Txus Blasco, J. Salvador Sánchez, Vicente García
:
A survey on uncertainty quantification in deep learning for financial time series prediction. Neurocomputing 576: 127339 (2024) - 2022
- [j48]Ricardo Mar-Cupido, Vicente García
Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19. Appl. Soft Comput. 125: 109207 (2022) - 2021
- [j47]Vicente García
Revisiting the Dissimilarity Representation in the Context of Regression. IEEE Access 9: 157043-157051 (2021) - [j46]Angélica Guzmán Ponce
DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem. Expert Syst. Appl. 168: 114301 (2021) - [c76]Laura Cleofas-Sánchez, Anabel Pineda Briseño
Identifying Optimal Clusters in Purchase Transaction Data. MICAI (1) 2021: 3-22 - 2020
- [j45]Jorge Eduardo Ibarra Esquer
Graphical Framework for Categorizing Data Capabilities and Properties of Objects in the Internet of Things. IEEE Access 8: 22366-22377 (2020) - [j44]Vicente García
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data. Expert Syst. Appl. 158: 113026 (2020) - [j43]Ana Isabel Marqués, Vicente García
Ranking-based MCDM models in financial management applications: analysis and emerging challenges. Prog. Artif. Intell. 9(3): 171-193 (2020) - [j42]Manuel J. Marín-Jiménez
Editorial for special section at Pattern Recognition Letters - IbPRIA 2019. Pattern Recognit. Lett. 133: 365 (2020) - [c75]Angélica Guzmán Ponce
A Cluster-Based Under-Sampling Algorithm for Class-Imbalanced Data. HAIS 2020: 299-311
2010 – 2019
- 2019
- [j41]Laura Cleofas-Sánchez, Anabel Pineda Briseño, Rosa María Valdovinos Rosas
Empirical Study of the Associative Approach in the Context of Classification Problems. Computación y Sistemas 23(2): 601-618 (2019) - [j40]Vicente García
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction. Inf. Fusion 47: 88-101 (2019) - [j39]Pedro Latorre-Carmona
Online reconstruction-free single-pixel image classification. Image Vis. Comput. 86: 28-37 (2019) - [j38]Vicente García
Using regression models for predicting the product quality in a tubing extrusion process. J. Intell. Manuf. 30(6): 2535-2544 (2019) - [j37]Laura Cleofas-Sánchez, J. Salvador Sánchez
Gene selection and disease prediction from gene expression data using a two-stage hetero-associative memory. Prog. Artif. Intell. 8(1): 63-71 (2019) - [c74]Vicente García
Instance Selection for the Nearest Neighbor Classifier: Connecting the Performance to the Underlying Data Structure. IbPRIA (1) 2019: 249-256 - [c73]Angélica Guzmán Ponce
Weighted Complete Graphs for Condensing Data. LANMR (Selected Papers) 2019: 45-60 - [e4]Aythami Morales, Julian Fiérrez, José Salvador Sánchez, Bernardete Ribeiro:
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11867, Springer 2019, ISBN 978-3-030-31331-9 [contents] - [e3]Aythami Morales, Julian Fiérrez, José Salvador Sánchez, Bernardete Ribeiro:
Pattern Recognition and Image Analysis - 9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1-4, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11868, Springer 2019, ISBN 978-3-030-31320-3 [contents] - 2018
- [j36]Vicente García
A regression model based on the nearest centroid neighborhood. Pattern Anal. Appl. 21(4): 941-951 (2018) - [c72]Carlos Ramírez Piña, José Salvador Sánchez, Rosa María Valdovinos Rosas
A Hybrid Feature Extraction Method for Offline Handwritten Math Symbol Recognition. CIARP 2018: 893-901 - [c71]J. Salvador Sánchez, Vicente García
Addressing the Links Between Dimensionality and Data Characteristics in Gene-Expression Microarrays. LOPAL 2018: 1:1-1:6 - [c70]Adriana Reyes-Nava
Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays. MCPR 2018: 105-115 - 2017
- [c69]Vicente García
An Insight on the 'Large G, Small n' Problem in Gene-Expression Microarray Classification. IbPRIA 2017: 483-490 - 2016
- [j35]Laura Cleofas-Sánchez, Vicente García
Financial distress prediction using the hybrid associative memory with translation. Appl. Soft Comput. 44: 144-152 (2016) - [j34]Laura Cleofas-Sánchez, José Salvador Sánchez, Vicente García
Associative learning on imbalanced environments: An empirical study. Expert Syst. Appl. 54: 387-397 (2016) - [c68]Vicente García
Model Selection for Financial Distress Prediction by Aggregating TOPSIS and PROMETHEE Rankings. HAIS 2016: 524-535 - 2015
- [j33]Vicente García
Mapping microarray gene expression data into dissimilarity spaces for tumor classification. Inf. Sci. 294: 362-375 (2015) - [j32]Vicente García
An insight into the experimental design for credit risk and corporate bankruptcy prediction systems. J. Intell. Inf. Syst. 44(1): 159-189 (2015) - [c67]Vicente García
Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise. IbPRIA 2015: 370-378 - 2014
- [j31]Pedro Latorre-Carmona
Advances in pattern recognition applications and methods. Neurocomputing 123: 1-2 (2014) - [j30]Vicente García
A bias correction function for classification performance assessment in two-class imbalanced problems. Knowl. Based Syst. 59: 66-74 (2014) - [c66]Oscar Colteli, Ximo Grandi, Ricardo Tosca
Designing serious games for learning support in medicine studies: A specific method to elicit and formalize requirements. FIE 2014: 1-4 - 2013
- [j29]Ana Isabel Marqués, Vicente García
On the suitability of resampling techniques for the class imbalance problem in credit scoring. J. Oper. Res. Soc. 64(7): 1060-1070 (2013) - [j28]A. I. Marqués, Vicente García
A literature review on the application of evolutionary computing to credit scoring. J. Oper. Res. Soc. 64(9): 1384-1399 (2013) - [c65]Laura Cleofas-Sánchez, Vicente García
Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study. MCPR 2013: 325-334 - 2012
- [j27]A. I. Marqués, Vicente García
Exploring the behaviour of base classifiers in credit scoring ensembles. Expert Syst. Appl. 39(11): 10244-10250 (2012) - [j26]A. I. Marqués, Vicente García
Two-level classifier ensembles for credit risk assessment. Expert Syst. Appl. 39(12): 10916-10922 (2012) - [j25]Vicente García
On the use of data filtering techniques for credit risk prediction with instance-based models. Expert Syst. Appl. 39(18): 13267-13276 (2012) - [j24]Vicente García
On the effectiveness of preprocessing methods when dealing with different levels of class imbalance. Knowl. Based Syst. 25(1): 13-21 (2012) - [j23]Vicente García
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets. Prog. Artif. Intell. 1(4): 347-362 (2012) - [c64]Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez:
Gender Classification from Pose-Based GEIs. ICCVG 2012: 501-508 - [c63]José Salvador Sánchez
Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods. ICONIP (2) 2012: 60-67 - [c62]Vicente García
Improving Risk Predictions by Preprocessing Imbalanced Credit Data. ICONIP (2) 2012: 68-75 - [c61]Mónica Millán-Giraldo, Vicente García, José Salvador Sánchez:
Prototype Selection in Imbalanced Data for Dissimilarity Representation - A Preliminary Study. ICPRAM (1) 2012: 242-247 - [c60]Vicente García, José Salvador Sánchez, Ramón Alberto Mollineda:
On the Suitability of Numerical Performance Measures for Class Imbalance Problems. ICPRAM (1) 2012: 310-313 - [c59]Raúl Martín-Félez, Javier Ortells, Ramón Alberto Mollineda, José Salvador Sánchez:
Efficient Gait-based Gender Classification through Feature Selection. ICPRAM (2) 2012: 419-424 - [c58]Vicente García
Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring. IS-MiS 2012: 263-272 - [c57]Mónica Millán-Giraldo, Vicente García
One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices. SSPR/SPR 2012: 391-399 - [e2]Pedro Latorre-Carmona, J. Salvador Sánchez, Ana L. N. Fred:
ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, Volume 1, Vilamoura, Algarve, Portugal, 6-8 February, 2012. SciTePress 2012, ISBN 978-989-8425-98-0 [contents] - [e1]Pedro Latorre-Carmona, J. Salvador Sánchez, Ana L. N. Fred:
ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, Volume 2, Vilamoura, Algarve, Portugal, 6-8 February, 2012. SciTePress 2012, ISBN 978-989-8425-99-7 [contents] - 2011
- [j22]Mónica Millán-Giraldo, José Salvador Sánchez
On-line learning from streaming data with delayed attributes: a comparison of classifiers and strategies. Neural Comput. Appl. 20(7): 935-944 (2011) - [c56]Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez
Human Recognition Based on Gait Poses. IbPRIA 2011: 347-354 - [c55]Mónica Millán-Giraldo, Vicente Javier Traver
On-Line Classification of Data Streams with Missing Values Based on Reinforcement Learning. IbPRIA 2011: 355-362 - [c54]Vicente García
Classification of High Dimensional and Imbalanced Hyperspectral Imagery Data. IbPRIA 2011: 644-651 - [c53]José Salvador Sánchez
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. MLDM 2011: 511-523 - 2010
- [j21]Damaris Pascual, Filiberto Pla
Cluster validation using information stability measures. Pattern Recognit. Lett. 31(6): 454-461 (2010) - [c52]Damaris Pascual, Filiberto Pla
A Density-based Hierarchical Clustering Algorithm for Highly Overlapped Distributions with Noisy Points. CCIA 2010: 183-192 - [c51]Mónica Millán-Giraldo, Robert P. W. Duin, José Salvador Sánchez
Dissimilarity-based classification of data with missing attributes. CIP 2010: 293-298 - [c50]Mónica Millán-Giraldo, José Salvador Sánchez
A Comparison of Techniques for Handling Incomplete Input Data with a Focus on Attribute Relevance Influence. ICMLA 2010: 819-822 - [c49]Vicente García
Theoretical Analysis of a Performance Measure for Imbalanced Data. ICPR 2010: 617-620 - [c48]Raúl Martín-Félez, Ramón Alberto Mollineda, José Salvador Sánchez:
Towards a More Realistic Appearance-Based Gait Representation for Gender Recognition. ICPR 2010: 3810-3813 - [c47]Vicente García
Exploring the Performance of Resampling Strategies for the Class Imbalance Problem. IEA/AIE (1) 2010: 541-549 - [c46]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: 439-444
2000 – 2009
- 2009
- [c45]Rosa Maria Valdovinos
Combining Multiple Classifiers with Dynamic Weighted Voting. HAIS 2009: 510-516 - [c44]Vicente García
Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. IbPRIA 2009: 441-448 - [c43]Mónica Millán-Giraldo, José Salvador Sánchez
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes. ICONIP (1) 2009: 875-883 - 2008
- [j20]Vicente García
On the k-NN performance in a challenging scenario of imbalance and overlapping. Pattern Anal. Appl. 11(3-4): 269-280 (2008) - [c42]Damaris Pascual, Filiberto Pla
Cluster Stability Assessment Based on Theoretic Information Measures. CIARP 2008: 219-226 - [c41]Fernando Vázquez, José Salvador Sánchez
Learning and Forgetting with Local Information of New Objects. CIARP 2008: 261-268 - [c40]Eréndira Rendón, J. Salvador Sánchez
Data Reduction Method for Categorical Data Clustering. IBERAMIA 2008: 143-152 - [c39]Ludmila I. Kuncheva
Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling. ICDM 2008: 869-874 - [c38]Vicente García
A New Performance Evaluation Method for Two-Class Imbalanced Problems. SSPR/SPR 2008: 917-925 - 2007
- [j19]José Salvador Sánchez
An analysis of how training data complexity affects the nearest neighbor classifiers. Pattern Anal. Appl. 10(3): 189-201 (2007) - [j18]José Martínez Sotoca, Filiberto Pla
Band Selection in Multispectral Images by Minimization of Dependent Information. IEEE Trans. Syst. Man Cybern. Part C 37(2): 258-267 (2007) - [c37]Vicente García
An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. CIARP 2007: 397-406 - [c36]J. Salvador Sánchez, Ludmila I. Kuncheva:
Data reduction using classifier ensembles. ESANN 2007: 379-384 - [c35]Rosa Maria Valdovinos
Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule. IbPRIA (1) 2007: 105-112 - [c34]Rosa Maria Valdovinos
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. IbPRIA (2) 2007: 250-257 - [c33]Vicente García
When Overlapping Unexpectedly Alters the Class Imbalance Effects. IbPRIA (2) 2007: 499-506 - [c32]Roberto Alejo
Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. IWANN 2007: 162-169 - 2006
- [j17]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): 31-38 (2006) - [j16]Fernando Vázquez, José Salvador Sánchez, Filiberto Pla:
On the Use of Labelled and Unlabelled Data to Improve Nearest Neighbor Classification. Inteligencia Artif. 10(31): 53-62 (2006) - [j15]José Salvador Sánchez
An LVQ-based adaptive algorithm for learning from very small codebooks. Neurocomputing 69(7-9): 922-927 (2006) - [j14]Francesc J. Ferri
Complexity reduction in efficient prototype-based classification. Pattern Recognit. 39(2): 161-163 (2006) - [j13]Eduardo Gasca, José Salvador Sánchez
Eliminating redundancy and irrelevance using a new MLP-based feature selection method. Pattern Recognit. 39(2): 313-315 (2006) - [j12]M. Lozano, José Martínez Sotoca, José Salvador Sánchez
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces. Pattern Recognit. 39(10): 1827-1838 (2006) - [c31]Vicente García
Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. IDEAL 2006: 371-378 - [c30]Roberto Alejo
Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. IDEAL 2006: 464-471 - [c29]Damaris Pascual, Filiberto Pla
Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions. IDEAL 2006: 671-678 - [c28]Luisa Micó
On the Use of Different Classification Rules in an Editing Task. SSPR/SPR 2006: 747-754 - [c27]Eréndira Rendón, José Salvador Sánchez:
Clustering Based on Compressed Data for Categorical and Mixed Attributes. SSPR/SPR 2006: 817-825 - 2005
- [j11]Ricardo Barandela, Francesc J. Ferri
Decision boundary preserving prototype selection for nearest neighbor classification. Int. J. Pattern Recognit. Artif. Intell. 19(6): 787-806 (2005) - [j10]Pedro J. Sanz, Roque Marín, J. Salvador Sánchez
Including efficient object recognition capabilities in online robots: from a statistical to a Neural-network classifier. IEEE Trans. Syst. Man Cybern. Part C 35(1): 87-96 (2005) - [c26]Ricardo Barandela, J. K. Hernández, José Salvador Sánchez, Francesc J. Ferri:
Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization. CCIA 2005: 215-222 - [c25]Ramón Alberto Mollineda, José Salvador Sánchez, José Martínez Sotoca:
Data Characterization for Effective Prototype Selection. IbPRIA (2) 2005: 27-34 - [c24]Fernando Vázquez, José Salvador Sánchez
A Stochastic Approach to Wilson's Editing Algorithm. IbPRIA (2) 2005: 35-42 - [c23]Rosa Maria Valdovinos
Dynamic and Static Weighting in Classifier Fusion. IbPRIA (2) 2005: 59-66 - [c22]Rosa Maria Valdovinos
Class-dependant resampling for medical applications. ICMLA 2005 - 2004
- [j9]José Salvador Sánchez
High training set size reduction by space partitioning and prototype abstraction. Pattern Recognit. 37(7): 1561-1564 (2004) - [c21]José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule. ICPR (3) 2004: 426-429 - [c20]José Salvador Sánchez, José Martínez Sotoca, Filiberto Pla
Efficient nearest neighbor classification with data reduction and fast search algorithms. SMC (5) 2004: 4757-4762 - [c19]Ricardo Barandela, Rosa Maria Valdovinos
The Imbalanced Training Sample Problem: Under or over Sampling? SSPR/SPR 2004: 806 - 2003
- [j8]Ricardo Barandela, Rosa Maria Valdovinos
New Applications of Ensembles of Classifiers. Pattern Anal. Appl. 6(3): 245-256 (2003) - [j7]Ricardo Barandela, José Salvador Sánchez
Strategies for learning in class imbalance problems. Pattern Recognit. 36(3): 849-851 (2003) - [j6]José Salvador Sánchez
Analysis of new techniques to obtain quality training sets. Pattern Recognit. Lett. 24(7): 1015-1022 (2003) - [c18]María Teresa Lozano, José Salvador Sánchez, Filiberto Pla
Using the Geometrical Distribution of Prototypes for Training Set Condensing. CAEPIA 2003: 618-627 - [c17]Ricardo Barandela, E. Rangel, José Salvador Sánchez, Francesc J. Ferri:
Restricted Decontamination for the Imbalanced Training Sample Problem. CIARP 2003: 424-431 - [c16]Ricardo Barandela, José Salvador Sánchez, Vicente García
Learning from Imbalanced Sets through Resampling and Weighting. IbPRIA 2003: 80-88 - [c15]María Teresa Lozano, José Salvador Sánchez, Filiberto Pla
Reducing Training Sets by NCN-based Exploratory Procedures. IbPRIA 2003: 453-461 - [c14]José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla:
Estimating Feature Weights For Distance-Based Classification. PRIS 2003: 156-166 - [c13]Pedro J. Sanz, Roque Marín, J. Salvador Sánchez:
Exploring New Object Recognition Techniques for Online Robots. Robotics and Applications 2003: 41-46 - [c12]Pedro J. Sanz, Roque Marín, J. Salvador Sánchez:
Fast object recognition methods for the UJI online robot. SMC 2003: 2791-2796 - 2002
- [j5]José Salvador Sánchez, Filiberto Pla:
Advances in Pattern Recognition and Image Analysis - Editorial. Int. J. Pattern Recognit. Artif. Intell. 16(3): 273-274 (2002) - [c11]José Salvador Sánchez, Ricardo Barandela, Francesc J. Ferri:
On Filtering the Training Prototypes in Nearest Neighbour Classification. CCIA 2002: 239-248 - [c10]Roque Marín, J. Salvador Sánchez, Pedro J. Sanz:
Object Recognition and Incremental Learning Algorithms for a Web-Based Telerobotic System. ICRA 2002: 2719-2724 - [c9]Roque Marín, Pedro J. Sanz
A Very High Level Interface to Teleoperate a Robot via Web Including Augmented Reality. ICRA 2002: 2725-2730 - 2001
- [c8]Filiberto Pla, José Miguel Sanchiz Martí, José Salvador Sánchez:
An integral automation of industrial fruit and vegetable sorting by machine vision. ETFA (2) 2001: 541-546 - [c7]José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo
Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. SIBGRAPI 2001: 44-50 - 2000
- [c6]José Salvador Sánchez, Filiberto Pla
Using the Dual of Proximity Graphs for Binary Decision Tree Design. SSPR/SPR 2000: 482-490
1990 – 1999
- 1999
- [c5]José Salvador Sánchez, Filiberto Pla
Learning Vector Quantization With Alternative Distance Criteria. ICIAP 1999: 84-89 - 1998
- [j4]José Salvador Sánchez, Filiberto Pla
Improving the k-NCN classification rule through heuristic modifications. Pattern Recognit. Lett. 19(13): 1165-1170 (1998) - [c4]José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri:
A Voronoi-diagram-based approach to oblique decision tree induction. ICPR 1998: 542-544 - [c3]José Salvador Sánchez, Filiberto Pla
From the Nearest Neighbour Rule to Decision Trees. IEA/AIE (Vol. 2) 1998: 469-478 - [c2]Francesc J. Ferri, José Salvador Sánchez, Filiberto Pla:
Editing Prototypes in the Finite Sample Size Case Using Alternative Neighbourhoods. SSPR/SPR 1998: 620-629 - 1997
- [j3]José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri:
On the equivalency between decision tree classifiers and the nearest neighbour rule. Inteligencia Artif. 1(4): 12-19 (1997) - [j2]José Salvador Sánchez, Filiberto Pla
Prototype selection for the nearest neighbour rule through proximity graphs. Pattern Recognit. Lett. 18(6): 507-513 (1997) - [j1]José Salvador Sánchez, Filiberto Pla
On the use of neighbourhood-based non-parametric classifiers. Pattern Recognit. Lett. 18(11-13): 1179-1186 (1997) - [c1]José Salvador Sánchez, Filiberto Pla
Using Proximity and Spatial Homogeneity in Neighbourhood-Based Classifiers. ICIAP (1) 1997: 206-213
Coauthor Index
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