2008 |
50 | EE | Damaris Pascual,
Filiberto Pla,
José Salvador Sánchez:
Cluster Stability Assessment Based on Theoretic Information Measures.
CIARP 2008: 219-226 |
49 | EE | Fernando Vázquez,
José Salvador Sánchez,
Filiberto Pla:
Learning and Forgetting with Local Information of New Objects.
CIARP 2008: 261-268 |
48 | EE | Vicente García,
Ramón Alberto Mollineda,
José Salvador Sánchez:
A New Performance Evaluation Method for Two-Class Imbalanced Problems.
SSPR/SPR 2008: 917-925 |
47 | EE | Vicente García,
Ramón Alberto Mollineda,
José Salvador Sánchez:
On the k-NN performance in a challenging scenario of imbalance and overlapping.
Pattern Anal. Appl. 11(3-4): 269-280 (2008) |
2007 |
46 | EE | Vicente García,
José Salvador Sánchez,
Ramón Alberto Mollineda:
An Empirical Study of the Behavior of Classifiers on Imbalanced and Overlapped Data Sets.
CIARP 2007: 397-406 |
45 | EE | 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: 162-169 |
44 | EE | Rosa M. Valdovinos,
José Salvador Sánchez,
E. Gasca:
Influence of Resampling and Weighting on Diversity and Accuracy of Classifier Ensembles.
IbPRIA (2) 2007: 250-257 |
43 | EE | Vicente García,
Ramón Alberto Mollineda,
José Salvador Sánchez,
Roberto Alejo,
José Martínez Sotoca:
When Overlapping Unexpectedly Alters the Class Imbalance Effects.
IbPRIA (2) 2007: 499-506 |
42 | EE | José Martínez Sotoca,
Filiberto Pla,
José Salvador Sánchez:
Band Selection in Multispectral Images by Minimization of Dependent Information.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 37(2): 258-267 (2007) |
41 | EE | 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): 189-201 (2007) |
2006 |
40 | EE | 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: 371-378 |
39 | EE | 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: 464-471 |
38 | EE | Damaris Pascual,
Filiberto Pla,
José Salvador Sánchez:
Non Parametric Local Density-Based Clustering for Multimodal Overlapping Distributions.
IDEAL 2006: 671-678 |
37 | EE | 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: 747-754 |
36 | EE | Erendira Rendon,
José Salvador Sánchez:
Clustering Based on Compressed Data for Categorical and Mixed Attributes.
SSPR/SPR 2006: 817-825 |
35 | EE | José Salvador Sánchez,
A. I. Marqués:
An LVQ-based adaptive algorithm for learning from very small codebooks.
Neurocomputing 69(7-9): 922-927 (2006) |
34 | EE | 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 Recognition 39(10): 1827-1838 (2006) |
33 | EE | Francesc J. Ferri,
José Salvador Sánchez,
Filiberto Pla:
Complexity reduction in efficient prototype-based classification.
Pattern Recognition 39(2): 161-163 (2006) |
32 | EE | E. Gasca,
José Salvador Sánchez,
R. Alonso:
Eliminating redundancy and irrelevance using a new MLP-based feature selection method.
Pattern Recognition 39(2): 313-315 (2006) |
2005 |
31 | | 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 |
30 | EE | Ramón Alberto Mollineda,
José Salvador Sánchez,
José Martínez Sotoca:
Data Characterization for Effective Prototype Selection.
IbPRIA (2) 2005: 27-34 |
29 | EE | Fernando Vázquez,
José Salvador Sánchez,
Filiberto Pla:
A Stochastic Approach to Wilson's Editing Algorithm.
IbPRIA (2) 2005: 35-42 |
28 | EE | Rosa M. Valdovinos,
José Salvador Sánchez,
Ricardo Barandela:
Dynamic and Static Weighting in Classifier Fusion.
IbPRIA (2) 2005: 59-66 |
27 | EE | Ricardo Barandela,
Francesc J. Ferri,
José Salvador Sánchez:
Decision boundary preserving prototype selection for nearest neighbor classification.
IJPRAI 19(6): 787-806 (2005) |
2004 |
26 | EE | José Martínez Sotoca,
José Salvador Sánchez,
Filiberto Pla:
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule.
ICPR (3) 2004: 426-429 |
25 | EE | José Salvador Sánchez,
José Martínez Sotoca,
Filiberto Pla:
Efficient nearest neighbor classification with data reduction and fast search algorithms.
SMC (5) 2004: 4757-4762 |
24 | EE | Ricardo Barandela,
Rosa M. Valdovinos,
José Salvador Sánchez,
Francesc J. Ferri:
The Imbalanced Training Sample Problem: Under or over Sampling?
SSPR/SPR 2004: 806 |
23 | EE | José Salvador Sánchez:
High training set size reduction by space partitioning and prototype abstraction.
Pattern Recognition 37(7): 1561-1564 (2004) |
2003 |
22 | EE | María Teresa Lozano,
José Salvador Sánchez,
Filiberto Pla:
Using the Geometrical Distribution of Prototypes for Training Set Condensing.
CAEPIA 2003: 618-627 |
21 | EE | Ricardo Barandela,
E. Rangel,
José Salvador Sánchez,
Francesc J. Ferri:
Restricted Decontamination for the Imbalanced Training Sample Problem.
CIARP 2003: 424-431 |
20 | EE | María Teresa Lozano,
José Salvador Sánchez,
Filiberto Pla:
Reducing Training Sets by NCN-based Exploratory Procedures.
IbPRIA 2003: 453-461 |
19 | EE | Ricardo Barandela,
José Salvador Sánchez,
Vicente García,
Francesc J. Ferri:
Learning from Imbalanced Sets through Resampling and Weighting.
IbPRIA 2003: 80-88 |
18 | | José Martínez Sotoca,
José Salvador Sánchez,
Filiberto Pla:
Estimating Feature Weights For Distance-Based Classification.
PRIS 2003: 156-166 |
17 | EE | Ricardo Barandela,
Rosa M. Valdovinos,
José Salvador Sánchez:
New Applications of Ensembles of Classifiers.
Pattern Anal. Appl. 6(3): 245-256 (2003) |
16 | EE | Ricardo Barandela,
José Salvador Sánchez,
Vicente García,
E. Rangel:
Strategies for learning in class imbalance problems.
Pattern Recognition 36(3): 849-851 (2003) |
15 | EE | José Salvador Sánchez,
Ricardo Barandela,
A. I. Marqués,
Roberto Alejo,
Jorge Badenas:
Analysis of new techniques to obtain quality training sets.
Pattern Recognition Letters 24(7): 1015-1022 (2003) |
2002 |
14 | EE | José Salvador Sánchez,
Ricardo Barandela,
Francesc J. Ferri:
On Filtering the Training Prototypes in Nearest Neighbour Classification.
CCIA 2002: 239-248 |
13 | EE | José Salvador Sánchez,
Filiberto Pla:
Advances in Pattern Recognition and Image Analysis - Editorial.
IJPRAI 16(3): 273-274 (2002) |
2001 |
12 | EE | 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 |
11 | EE | Belur V. Dasarathy,
José Salvador Sánchez:
Tandem Fusion of Nearest Neighbor Editing and Condensing Algorithms - Data Dimensionality Effects.
ICPR 2000: 2692-2695 |
10 | EE | José Salvador Sánchez,
Filiberto Pla,
M. C. Herrero:
Using the Dual of Proximity Graphs for Binary Decision Tree Design.
SSPR/SPR 2000: 482-490 |
9 | EE | Belur V. Dasarathy,
José Salvador Sánchez,
S. Townsend:
Nearest Neighbour Editing and Condensing Tools-Synergy Exploitation.
Pattern Anal. Appl. 3(1): 19-30 (2000) |
1999 |
8 | EE | José Salvador Sánchez,
Filiberto Pla,
Francesc J. Ferri:
Learning Vector Quantization With Alternative Distance Criteria.
ICIAP 1999: 84-89 |
1998 |
7 | | José Salvador Sánchez,
Filiberto Pla,
Francesc J. Ferri:
From the Nearest Neighbour Rule to Decision Trees.
IEA/AIE (Vol. 2) 1998: 469-478 |
6 | | Francesc J. Ferri,
José Salvador Sánchez,
Filiberto Pla:
Editing Prototypes in the Finite Sample Size Case Using Alternative Neighbourhoods.
SSPR/SPR 1998: 620-629 |
5 | | José Salvador Sánchez:
Neighbourhood-Based Learning and Classification: Alternative Methods and Comparative Analysis.
AI Commun. 11(1): 77-79 (1998) |
4 | EE | José Salvador Sánchez,
Filiberto Pla,
Francesc J. Ferri:
Improving the k-NCN classification rule through heuristic modifications.
Pattern Recognition Letters 19(13): 1165-1170 (1998) |
1997 |
3 | | José Salvador Sánchez,
Filiberto Pla,
Francesc J. Ferri:
Using Proximity and Spatial Homogeneity in Neighbourhood-Based Classifiers.
ICIAP (1) 1997: 206-213 |
2 | | José Salvador Sánchez,
Filiberto Pla,
Francesc J. Ferri:
On the equivalency between decision tree classifiers and the nearest neighbour rule.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 4: 12-19 (1997) |
1 | EE | José Salvador Sánchez,
Filiberto Pla,
Francesc J. Ferri:
Prototype selection for the nearest neighbour rule through proximity graphs.
Pattern Recognition Letters 18(6): 507-513 (1997) |