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José Salvador Sánchez: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. María Teresa Lozano, José Salvador Sánchez, Filiberto Pla
    Using the Geometrical Distribution of Prototypes for Training Set Condensing. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2003, pp:618-627 [Conf]
  2. José Salvador Sánchez, Ricardo Barandela, Francesc J. Ferri
    On Filtering the Training Prototypes in Nearest Neighbour Classification. [Citation Graph (0, 0)][DBLP]
    CCIA, 2002, pp:239-248 [Conf]
  3. Ricardo Barandela, E. Rangel, José Salvador Sánchez, Francesc J. Ferri
    Restricted Decontamination for the Imbalanced Training Sample Problem. [Citation Graph (0, 0)][DBLP]
    CIARP, 2003, pp:424-431 [Conf]
  4. Ricardo Barandela, José Salvador Sánchez, V. García, Francesc J. Ferri
    Learning from Imbalanced Sets through Resampling and Weighting. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:80-88 [Conf]
  5. María Teresa Lozano, José Salvador Sánchez, Filiberto Pla
    Reducing Training Sets by NCN-based Exploratory Procedures. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:453-461 [Conf]
  6. Ramón Alberto Mollineda, José Salvador Sánchez, José Martínez Sotoca
    Data Characterization for Effective Prototype Selection. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:27-34 [Conf]
  7. Rosa M. Valdovinos, José Salvador Sánchez, Ricardo Barandela
    Dynamic and Static Weighting in Classifier Fusion. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:59-66 [Conf]
  8. Fernando Vázquez, José Salvador Sánchez, Filiberto Pla
    A Stochastic Approach to Wilson's Editing Algorithm. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:35-42 [Conf]
  9. José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
    Using Proximity and Spatial Homogeneity in Neighbourhood-Based Classifiers. [Citation Graph (0, 0)][DBLP]
    ICIAP (1), 1997, pp:206-213 [Conf]
  10. José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
    Learning Vector Quantization With Alternative Distance Criteria. [Citation Graph (0, 0)][DBLP]
    ICIAP, 1999, pp:84-89 [Conf]
  11. Belur V. Dasarathy, José Salvador Sánchez
    Tandem Fusion of Nearest Neighbor Editing and Condensing Algorithms - Data Dimensionality Effects. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2692-2695 [Conf]
  12. José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla
    Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:426-429 [Conf]
  13. Roberto Alejo, V. García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
    Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:464-471 [Conf]
  14. V. García, Roberto Alejo, José Salvador Sánchez, José Martínez Sotoca, Ramón Alberto Mollineda
    Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:371-378 [Conf]
  15. Damaris Pascual, Filiberto Pla, José Salvador Sánchez
    Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:671-678 [Conf]
  16. José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
    From the Nearest Neighbour Rule to Decision Trees. [Citation Graph (0, 0)][DBLP]
    IEA/AIE (Vol. 2), 1998, pp:469-478 [Conf]
  17. José Martínez Sotoca, José Salvador Sánchez, Filiberto Pla
    Estimating Feature Weights For Distance-Based Classification. [Citation Graph (0, 0)][DBLP]
    PRIS, 2003, pp:156-166 [Conf]
  18. José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo
    Performance Evaluation of Prototype Selection Algorithms for Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    SIBGRAPI, 2001, pp:44-50 [Conf]
  19. José Salvador Sánchez, José Martínez Sotoca, Filiberto Pla
    Efficient nearest neighbor classification with data reduction and fast search algorithms. [Citation Graph (0, 0)][DBLP]
    SMC (5), 2004, pp:4757-4762 [Conf]
  20. Ricardo Barandela, Rosa M. Valdovinos, José Salvador Sánchez, Francesc J. Ferri
    The Imbalanced Training Sample Problem: Under or over Sampling? [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:806- [Conf]
  21. Francesc J. Ferri, José Salvador Sánchez, Filiberto Pla
    Editing Prototypes in the Finite Sample Size Case Using Alternative Neighbourhoods. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:620-629 [Conf]
  22. 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. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:747-754 [Conf]
  23. Erendira Rendon, José Salvador Sánchez
    Clustering Based on Compressed Data for Categorical and Mixed Attributes. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2006, pp:817-825 [Conf]
  24. José Salvador Sánchez, Filiberto Pla, M. C. Herrero
    Using the Dual of Proximity Graphs for Binary Decision Tree Design. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2000, pp:482-490 [Conf]
  25. José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
    On the equivalency between decision tree classifiers and the nearest neighbour rule. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1997, v:4, n:, pp:12-19 [Journal]
  26. José Salvador Sánchez
    Neighbourhood-Based Learning and Classification: Alternative Methods and Comparative Analysis. [Citation Graph (0, 0)][DBLP]
    AI Commun., 1998, v:11, n:1, pp:77-79 [Journal]
  27. José Salvador Sánchez, A. I. Marqués
    An LVQ-based adaptive algorithm for learning from very small codebooks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:922-927 [Journal]
  28. Ricardo Barandela, Francesc J. Ferri, José Salvador Sánchez
    Decision boundary preserving prototype selection for nearest neighbor classification. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:6, pp:787-806 [Journal]
  29. José Salvador Sánchez, Filiberto Pla
    Advances in Pattern Recognition and Image Analysis - Editorial. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2002, v:16, n:3, pp:273-274 [Journal]
  30. Belur V. Dasarathy, José Salvador Sánchez, S. Townsend
    Nearest Neighbour Editing and Condensing Tools-Synergy Exploitation. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2000, v:3, n:1, pp:19-30 [Journal]
  31. Ricardo Barandela, José Salvador Sánchez, V. García, E. Rangel
    Strategies for learning in class imbalance problems. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:3, pp:849-851 [Journal]
  32. Francesc J. Ferri, José Salvador Sánchez, Filiberto Pla
    Complexity reduction in efficient prototype-based classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:2, pp:161-163 [Journal]
  33. José Salvador Sánchez
    High training set size reduction by space partitioning and prototype abstraction. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:7, pp:1561-1564 [Journal]
  34. 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. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:10, pp:1827-1838 [Journal]
  35. José Salvador Sánchez, Ricardo Barandela, A. I. Marqués, Roberto Alejo, Jorge Badenas
    Analysis of new techniques to obtain quality training sets. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:7, pp:1015-1022 [Journal]
  36. José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
    Prototype selection for the nearest neighbour rule through proximity graphs. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:6, pp:507-513 [Journal]
  37. José Salvador Sánchez, Filiberto Pla, Francesc J. Ferri
    Improving the k-NCN classification rule through heuristic modifications. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1998, v:19, n:13, pp:1165-1170 [Journal]
  38. V. García, Ramón Alberto Mollineda, José Salvador Sánchez, Roberto Alejo, José Martínez Sotoca
    When Overlapping Unexpectedly Alters the Class Imbalance Effects. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:499-506 [Conf]
  39. Rosa M. Valdovinos, J. S. Sánchez
    Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule. [Citation Graph (0, 0)][DBLP]
    IbPRIA (1), 2007, pp:105-112 [Conf]
  40. Rosa M. Valdovinos, J. S. Sánchez, E. Gasca
    Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:250-257 [Conf]
  41. Roberto Alejo, V. García, José Martínez Sotoca, Ramón Alberto Mollineda, José Salvador Sánchez
    Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:162-169 [Conf]
  42. José Salvador Sánchez, Ramón Alberto Mollineda, José Martínez Sotoca
    An analysis of how training data complexity affects the nearest neighbor classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2007, v:10, n:3, pp:189-201 [Journal]
  43. José Martínez Sotoca, Filiberto Pla, José Salvador Sánchez
    Band Selection in Multispectral Images by Minimization of Dependent Information. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2007, v:37, n:2, pp:258-267 [Journal]

  44. Imbalanced Training Set Reduction and Feature Selection Through Genetic Optimization. [Citation Graph (, )][DBLP]


  45. Learning and Forgetting with Local Information of New Objects. [Citation Graph (, )][DBLP]


  46. An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets. [Citation Graph (, )][DBLP]


  47. Cluster Stability Assessment Based on Theoretic Information Measures. [Citation Graph (, )][DBLP]


  48. Index of Balanced Accuracy: A Performance Measure for Skewed Class Distributions. [Citation Graph (, )][DBLP]


  49. Class-dependant resampling for medical applications. [Citation Graph (, )][DBLP]


  50. A New Performance Evaluation Method for Two-Class Imbalanced Problems. [Citation Graph (, )][DBLP]


  51. Combining Multiple Classifiers with Dynamic Weighted Voting. [Citation Graph (, )][DBLP]


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