Enhancing instance-level constrained clustering through differential evolution |
G González-Almagro, J Luengo, JR Cano, S García. |
2021 |
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism |
G González-Almagro, A Rosales-Pérez, J Luengo, JR Cano, S García. |
2021 |
3SHACC: Three Stages Hybrid Agglomerative Constrained Clustering |
G González-Almagro, JL Suarez, J Luengo, JR Cano, S García. |
2021 |
Similarity-based and Iterative Label Noise Filters for Monotonic Classification |
JR Cano, J Luengo, S García. |
2020 |
DILS: constrained clustering through Dual Iterative Local Search |
G González-Almagro, J Luengo, JR Cano, S García. |
2020 |
ProLSFEO-LDL: Prototype Selection and Label-Specific Feature Evolutionary Optimization for Label Distribution Learning |
M González, JR Cano, S García. |
2020 |
Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism |
G González-Almagro, A Rosales-Pérez, J Luengo, JR Cano, S García. |
2020 |
Synthetic Sample Generation for Label Distribution Learning |
M González, J Luengo, JR Cano, S García. |
2020 |
Decomposition-Fusion for Label Distribution Learning |
M González, G González-Almagro, I Triguero, JR Cano, S García. |
2020 |
Agglomerative Constrained Clustering Through Similarity and Distance Recalculation |
G González-Almagro, JL Suarez, J Luengo, JR Cano, S García. |
2020 |
Label noise filtering techniques to improve monotonic classification |
JR Cano, J Luengo, S García. |
2019 |
Monotonic classification: An overview on algorithms, performance measures and data sets |
JR Cano, PA Gutiérrez, B Krawczyk, M Woźniak, S García. |
2019 |
A First Attempt on Monotonic Training Set Selection |
JR Cano, S García. |
2018 |
Credal C4. 5 with Refinement of Parameters |
CJ Mantas, J Abellán, JG Castellano, JR Cano, S Moral. |
2018 |
CommuniMents: A framework for detecting community based sentiments for events |
MA Jarwar, RA Abbasi, M Mushtaq, O Maqbool, NR Aljohani, A Daud, .... |
2017 |
Prototype selection to improve monotonic nearest neighbor |
JR Cano, NR Aljohani, RA Abbasi, JS Alowidbi, S Garcia. |
2017 |
MoNGEL: monotonic nested generalized exemplar learning |
J García, HM Fardoun, DM Alghazzawi, JR Cano, S García. |
2017 |
Training set selection for monotonic ordinal classification |
JR Cano, S García. |
2017 |
Hyperrectangles selection for monotonic classification by using evolutionary algorithms |
J García, AM AlBar, NR Aljohani, JR Cano, S García. |
2016 |
A Nearest Hyperrectangle Monotonic Learning Method |
J García, JR Cano, S García. |
2016 |
Analysis of data complexity measures for classification |
JR Cano. |
2013 |
Predictive–collaborative model as recovery and validation tool. Case of study: Psychiatric emergency department decision support |
JR Cano. |
2012 |
Prototype selection for nearest neighbor classification: Taxonomy and empirical study |
S Garcia, J Derrac, JR Cano, F Herrera. |
2011 |
Prototype selection for nearest neighbor classification: Survey of methods |
S Garcıa, J Derrac, JR Cano, F Herrera. |
2010 |
A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency |
S García, JR Cano, F Herrera. |
2010 |
Modelo predictivo colaborativo de apoyo al diagnostico en servicio de urgencias psiquiatricas |
JR Cano, MJ del Jesús, P González, JJ Aguilera, AG López, F Herrera, .... |
2009 |
Diagnose effective evolutionary prototype selection using an overlapping measure |
S Garcia, JR Cano, E Bernado-Mansilla, F Herrera. |
2009 |
A memetic algorithm for evolutionary prototype selection: A scaling up approach |
S García, JR Cano, F Herrera. |
2008 |
Replacement strategies to preserve useful diversity in steady-state genetic algorithms |
M Lozano, F Herrera, JR Cano. |
2008 |
Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes |
JR Cano, S García, F Herrera. |
2008 |
Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection |
JR Cano, F Herrera, M Lozano, S García. |
2008 |
Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability |
JR Cano, F Herrera, M Lozano. |
2007 |
Un algoritmo memético para selección de prototipos: Una propuesta eficiente para problemas de tamano medio |
S Garcıa, JR Cano, F Herrera. |
2007 |
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining |
JR Cano, F Herrera, M Lozano. |
2006 |
A proposal of evolutionary prototype selection for class imbalance problems |
S García, JR Cano, A Fernández, F Herrera. |
2006 |
Técnicas de reducción de datos en KDD. El uso de Algoritmos Evolutivos para la Selección de Instancias |
F Herrera, JR Cano. |
2006 |
Incorporating knowledge in evolutionary prototype selection |
S García, JR Cano, F Herrera. |
2006 |
Técnicas de reducción de datos en KDD |
F Herrera, J Cano. |
2006 |
2. Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining |
JR Cano, F Herrera, M Lozano. |
2006 |
Stratification for scaling up evolutionary prototype selection |
JR Cano, F Herrera, M Lozano. |
2005 |
Replacement strategies to maintain useful diversity in steady-state genetic algorithms |
M Lozano, F Herrera, JR Cano. |
2005 |
A study on the combination of evolutionary algorithms and stratified strategies for training set selection in data mining |
JR Cano, F Herrera, M Lozano. |
2005 |
Strategies for scaling up evolutionary instance reduction algorithms for data mining |
JR Cano, F Herrera, M Lozano. |
2005 |
Instance selection using evolutionary algorithms: an experimental study |
JR Cano, F Herrera, M Lozano. |
2005 |
Extracción de modelos predictivos e interpretables en conjuntos de datos de tamaño grande mediante la selección de conjuntos de entrenamiento |
JR Cano, F Herrera, M Lozano. |
2005 |
Extración de modelos predictivos e interpretables en conjuntos de datos tamaño grande mediante la selección de conjuntos de entrenamiento |
R Cano, F Herrera, M Lozano. |
2005 |
Reducción de datos basada en Selección Evolutiva de Instancias para Minerıa de Datos |
JRC de Amo. |
2004 |
Evolutionary stratified instance selection applied to training set selection for extracting high precise-interpretable classification rules |
JR Cano, F Herrera, M Lozano. |
2004 |
Linguistic modeling with hierarchical systems of weighted linguistic rules |
R Alcalá, JR Cano, O Cordón, F Herrera, P Villar, I Zwir. |
2003 |
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study |
JR Cano, F Herrera, M Lozano. |
2003 |
A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure |
JR Cano, O Cordón, F Herrera, L Sánchez. |
2002 |
A GRASP algorithm for clustering |
JR Cano, O Cordón, F Herrera, L Sánchez. |
2002 |
Tumor necrosis factor-alpha: a mediator in the pathogenesis of cardiac insufficiency |
EG Herrera, AG Cubillos, SJ Stetson, RN Cano, FF Herrera, JB Durand, .... |
1999 |
Heterotopic heart transplantation: 13-year experience at the Methodist Hospital of the Baylor Medical College |
EG Herrera, GP Noon, JB Durand, SJ Stetson, S Zylicz, L Johnson, .... |
1999 |
Preliminary results in the study of chromosome races found in Ameles abjecta (Amelinae, Mantodea) |
JC Orozco, M Espejo, J Cano. |
1983 |