Salvador García López

Category

Doctor

Contact

salvagl@dZruaKqOH@Zzecsai.ugr.es

Organismo

UGR

Highly Cited Researcher en los años 2014, 2015, 2016, 2017, 2018 and 2019. Ver CV


Researcher Profile

Total From 2015:
Citas Total: 20053 From 2015: 15527
Índice H Total: 52 From 2015: 49
Índice i10 Total: 107 From 2015: 101

Papers (204)

Title Authors Year
Similarity-based and Iterative Label Noise Filters for Monotonic Classification JR Cano, J Luengo, S García. 2020
Smart Data based Ensemble for Imbalanced Big Data Classification D García-Gil, J Holmberg, S García, N Xiong, F Herrera. 2020
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review J Castillo, S García, M del Mar Rueda, S Das, F Herrera. 2020
Comprehensive Taxonomies of Nature-and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations D Molina, J Poyatos, J Del Ser, S García, A Hussain, F Herrera. 2020
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise S González, S García, ST Li, R John, F Herrera. 2020
Big Data: Technologies and Tools J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Smart Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Final Thoughts: From Big Data to Smart Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data Discretization J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Imbalanced Data Preprocessing for Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data Software J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Dimensionality Reduction for Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Data Reduction for Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data Preprocessing: Enabling Smart Data J Luengo. 2020
Imperfect Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 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
pyDML: A Python Library for Distance Metric Learning JL Suárez, S García, F Herrera. 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
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities S González, S García, J Del Ser, L Rokach, F Herrera. 2020
Synthetic Sample Generation for Label Distribution Learning M González, J Luengo, JR Cano, S García. 2020
Neurocomputing Guest Editorial for the Special Issue: Advances in Deep and Shallow Machine Learning Approaches for Handling Data Irregularities S Das, S Garcia, I Triguero. 2020
Decomposition-Fusion for Label Distribution Learning M González, G González-Almagro, I Triguero, JR Cano, S García. 2020
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification HL Le, D Landa-Silva, M Galar, S Garcia, I Triguero. 2020
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms, Experimental Analysis, Prospects and Challenges JL Suárez, S García, F Herrera. 2020
Smartdata: data preprocessing to achieve smart data in R I Cordón, J Luengo, S García, F Herrera, F Charte. 2019
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
Enabling smart data: noise filtering in big data classification D García-Gil, J Luengo, S García, F Herrera. 2019
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data I Triguero, D García‐Gil, J Maillo, J Luengo, S García, F Herrera. 2019
Instance reduction for one-class classification B Krawczyk, I Triguero, S García, M Woźniak, F Herrera. 2019
Chain based sampling for monotonic imbalanced classification S González, S García, ST Li, F Herrera. 2019
DPASF: a flink library for streaming data preprocessing A Alcalde-Barros, D García-Gil, S García, F Herrera. 2019
Clinical Cases-Masses and sources of emboli: rare and dramatic cases I C Minguito Carazo, S Del Castillo Garcia, T De Benito Gonzalez, .... 2019
Poster session 1 M Mathelie-Guinlet, A Reynaud, M Michaud, M Dijos, C Alexandrino, .... 2019
Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model A El Afia, O Aoun, S Garcia. 2019
Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data J Maillo, I Triguero, J Luengo, FH S. García. 2019
From Big to Smart Data: Iterative Ensemble Filter for Noise Filtering in Big Data classification FH Diego Garcia, Francisco Luque-Sánchez, Julián Luengo, Salvador García. 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI AB Arrieta, N Díaz-Rodríguez, J Del Ser, A Bennetot, S Tabik, A Barbado, .... 2019
Preprocessing methodology for time series: an industrial world application case study JA Cortés-Ibáñez, S González, JJ Valle-Alonso, J Luengo, S García, .... 2019
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data J Maillo, S García, J Luengo, F Herrera, I Triguero. 2019
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. D García-Gil, A Alcalde-Barros, J Luengo, S García, F Herrera. 2019
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines D Charte, F Charte, S García, MJ del Jesus, F Herrera. 2018
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations D Charte, F Charte, S García, F Herrera. 2018
A First Attempt on Monotonic Training Set Selection JR Cano, S García. 2018
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification J Maillo, J Luengo, S García, F Herrera, I Triguero. 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2018
A distributed evolutionary multivariate discretizer for big data processing on apache spark S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2018
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary A Fernandez, S Garcia, F Herrera, NV Chawla. 2018
Big data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce S Ramírez-Gallego, A Fernández, S García, M Chen, F Herrera. 2018
Imbalance: oversampling algorithms for imbalanced classification in R I Cordón, S García, A Fernández, F Herrera. 2018
Dynamic ensemble selection for multi-class imbalanced datasets S García, ZL Zhang, A Altalhi, S Alshomrani, F Herrera. 2018
Learning from Imbalanced Data Sets A Fernández, S García, M Galar, RC Prati, B Krawczyk, F Herrera. 2018
Principal components analysis random discretization ensemble for big data D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2018
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets ZL Zhang, XG Luo, S González, S García, F Herrera. 2018
Mc2esvm: multiclass classification based on cooperative evolution of support vector machines A Rosales-Pérez, S García, H Terashima-Marin, CAC Coello, F Herrera. 2018
Online entropy-based discretization for data streaming classification S Ramírez-Gallego, S García, F Herrera. 2018
Self inertia weight adaptation for the particle swarm optimization O Aoun, A El Afia, S Garcia. 2018
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software JL Suárez, S García, F Herrera. 2018
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods D Charte, F Charte, S García, F Herrera. 2018
Incidence and prognostic implications of late bleeding events after percutaneous mitral valve repair T Benito-González, R Estévez-Loureiro, AP de Prado, C Minguito-Carazo, .... 2018
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala MC Heredia-Gómez, S García, PA Gutiérrez, F Herrera. 2018
P5589 Medical therapy versus medical and invasive therapies for elderly patients with multivessel coronary artery disease and left ventricular systolic dysfunction C Minguito Carazo, S Del Castillo Garcia, I Iglesias Garriz, .... 2018
P2584 Changes in left ventricular function after percutaneous mitral valve repair with Mitraclip device: prognosis impact of speckle tracking echocardiography T Benito Gonzalez, R Estevez-Loureiro, C Garrote Coloma, .... 2018
Medical therapy versus medical and invasive therapies for elderly patients with multivessel coronary artery disease and left ventricular systolic dysfunction C Minguito Carazo, S Del Castillo Garcia, I Iglesias Garriz, .... 2018
Changes in left ventricular function after percutaneous mitral valve repair with Mitraclip device: prognosis impact of speckle tracking echocardiography T Benito Gonzalez, R Estevez-Loureiro, C Garrote Coloma, .... 2018
Cooperative multi-objective evolutionary support vector machines for multiclass problems A Rosales-Pérez, AE Gutierrez-Rodríguez, S García, H Terashima-Marín, .... 2018
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2018
Unusual vascular access for ECMO implantation after a complication during PCI MG Ascencio Lemus, P Maiorano, C Minguito Carazo, L Castillo Pardo, .... 2018
BELIEF: A distance-based redundancy-proof feature selection method for Big Data S Ramírez-Gallego, S García, N Xiong, F Herrera. 2018
Medical therapy versus medical and invasive therapies for elderly patients with multivessel coronary artery disease and left ventricular systolic dysfunction: P5589 M Carazo, SDC Garcia, I Garriz, R Santamarta, TDB Gonzalez, A Lemus, .... 2018
Changes in left ventricular function after percutaneous mitral valve repair with Mitraclip device: prognosis impact of speckle tracking echocardiography: P2584 B Gonzalez, R Estevez-Loureiro, G Coloma, T Sanz, A Rodriguez, .... 2018
KEEL 3.0: an open source software for multi-stage analysis in data mining I Triguero, S González, JM Moyano, S García López, J Alcalá Fernández, .... 2017
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
Exact fuzzy k-nearest neighbor classification for big datasets J Maillo, J Luengo, S García, F Herrera, I Triguero. 2017
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification J Alcala-Fdez, R Alcala, S Gonzalez, Y NOJIMA, S Garcia. 2017
Nearest neighbor classification for high-speed big data streams using spark S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, JM Benítez, .... 2017
Minutiae-based fingerprint matching decomposition: methodology for big data frameworks D Peralta, S García, JM Benitez, F Herrera. 2017
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
Robust classification of different fingerprint copies with deep neural networks for database penetration rate reduction D Peralta, I Triguero, S García, Y Saeys, JM Benitez, F Herrera. 2017
Fast case-based reasoning for large-scale streaming classification S Ramfrez-Gallego, B Krawczyk, S Garcia, M Wozniak, JM Benítez, .... 2017
A survey on data preprocessing for data stream mining: Current status and future directions S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, F Herrera. 2017
A comparison on scalability for batch big data processing on Apache Spark and Apache Flink D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2017
An evolutionary multiobjective model and instance selection for support vector machines with pareto-based ensembles A Rosales-Pérez, S García, JA Gonzalez, CAC Coello, F Herrera. 2017
Class switching according to nearest enemy distance for learning from highly imbalanced data-sets S Gónzalez, S García, M Lázaro, AR Figueiras-Vidal, F Herrera. 2017
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme ZL Zhang, XG Luo, S García, JF Tang, F Herrera. 2017
rnpbst: An R package covering non-parametric and bayesian statistical tests J Carrasco, S García, M del Mar Rueda, F Herrera. 2017
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers ZL Zhang, XG Luo, S García, F Herrera. 2017
P2728Short-term mortality on ST-segment myocardial infarction after the implementation of a rapid access system to reperfusion MG Ascencio Lemus, I Iglesias Garriz, I Prieto Salvador, .... 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. D Peralta, I Triguero, S García, Y Saeys, JM Benítez, F Herrera. 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
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining S García, J Luengo, F Herrera. 2016
Big data preprocessing: methods and prospects S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera. 2016
From big data to smart data with the k-nearest neighbours algorithm I Triguero, J Maillo, J Luengo, S García, F Herrera. 2016
Comparison of KEEL versus open source Data Mining tools: Knime and Weka software I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, .... 2016
Data discretization: taxonomy and big data challenge S Ramírez‐Gallego, S García, H Mouriño‐Talín, D Martínez‐Rego, .... 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2016
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data Z Zhang, B Krawczyk, S Garcìa, A Rosales-Pérez, F Herrera. 2016
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets J Derrac, F Chiclana, S García, F Herrera. 2016
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis N Verbiest, J Derrac, C Cornelis, S García, F Herrera. 2016
Early IL-1 signaling promotes iBALT induction after influenza virus infection K Neyt, CH GeurtsvanKessel, K Deswarte, H Hammad, BN Lambrecht. 2016
Current prospects on ordinal and monotonic classification PA Gutiérrez, S García. 2016
Landmark-based music recognition system optimisation using genetic algorithms S Gutiérrez, S García. 2016
Managing monotonicity in classification by a pruned adaboost S González, F Herrera, S García. 2016
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation D Peralta, M Galar, I Triguero, D Paternain, S García, E Barrenechea, .... 2015
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal M Galar, J Derrac, D Peralta, I Triguero, D Paternain, C Lopez-Molina, .... 2015
Multivariate discretization based on evolutionary cut points selection for classification S Ramírez-Gallego, S García, JM Benítez, F Herrera. 2015
Distributed entropy minimization discretizer for big data analysis under apache spark S Ramírez-Gallego, S García, H Mouriño-Talín, D Martínez-Rego, .... 2015
Supplementary material for “DPD-DFF: A Dual Phase Distributed Scheme with Double Fingerprint Fusion for Fast and Accurate Identification in Large Databases” D Peralta, I Triguero, S García, F Herrera, JM Benitez. 2015
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study I Triguero, S García, F Herrera. 2015
MRPR: A MapReduce solution for prototype reduction in big data classification I Triguero, D Peralta, J Bacardit, S García, F Herrera. 2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification I Triguero, S García, F Herrera. 2015
Monotonic random forest with an ensemble pruning mechanism based on the degree of monotonicity S González, F Herrera, S García. 2015
Javanpst: Nonparametric statistical tests in java J Derrac, S García, F Herrera. 2015
Managing monotonicity in classification by a pruned random forest S González, F Herrera, S García. 2015
An interval valued k-nearest neighbors classifier J Derrac, F Chiclana, S Garcia, F Herrera. 2015
Trypanosoma cruziPCR: a useful tool for the control of therapeutic failure? E Sulleiro, N Serre, B Treviño, S García, S González, M Espasa, Z Moure, .... 2015
Estudio descriptivo de la población de usuarios hipotiroideos de ASSE, de la región del Santoral Canelones, en el año 2015, y su posible relación con el uso de agroquímicos. K Csigi, M Duarte, S García, S González, V Guido. 2015
Addressing imbalanced classification with instance generation techniques: IPADE-ID V López, I Triguero, CJ Carmona, S García, F Herrera. 2014
Applying Subgroup Discovery Based on Evolutionary Fuzzy Systems for Web Usage Mining in E-Commerce: A Case Study on OrOliveSur. com CJ Carmona, MJ del Jesus, S García. 2014
Data Preprocessing in Data Mining S García, J Luengo, F Herrera. 2014
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification I Triguero, JA Sáez, J Luengo, S García, F Herrera. 2014
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects J Derrac, S García, F Herrera. 2014
Analyzing convergence performance of evolutionary algorithms: a statistical approach J Derrac, S García, S Hui, PN Suganthan, F Herrera. 2014
A combined mapreduce-windowing two-level parallel scheme for evolutionary prototype generation I Triguero, D Peralta, J Bacardit, S García, F Herrera. 2014
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification B Krawczyk, I Triguero, S García, M Woźniak, F Herrera. 2014
Website Design As Moderating Factor of Online User Behavior JMA Pilar, SDB García. 2014
Improving Disease Prediction using Unlabeled and Synthetic Samples I Triguero, S García, F Herrera, Y Saeys. 2014
Chaotic lid-driven square cavity flows at extreme Reynolds numbers S Garcia. 2014
On the statistical analysis of the parameters’ trend in a machine learning algorithm S García, J Derrac, S Ramírez-Gallego, F Herrera. 2014
Journal: Intelligent Systems Reference Library Data Preprocessing in Data Mining, 2014, p. 1-17 S García, J Luengo, F Herrera. 2014
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics V López, A Fernández, S García, V Palade, F Herrera. 2013
Class imbalance learning methods for support vector machines R Batuwita, V Palade. 2013
On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection J Derrac, N Verbiest, S García, C Cornelis, F Herrera. 2013
Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS J Derrac, S Garcia, S Hui, F Herrera, PN Suganthan. 2013
Web usage mining to improve the design of an e-commerce website: OrOliveSur. com CJ Carmona, S Ramírez-Gallego, F Torres, E Bernal, MJ del Jesús, .... 2012
Evolutionary-based selection of generalized instances for imbalanced classification S Garcı, I Triguero, CJ Carmona, F Herrera. 2012
A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. S García, V López, J Luengo, CJ Carmona, F Herrera. 2012
A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning S Garcia, J Luengo, JA Sáez, V Lopez, F Herrera. 2012
On the choice of the best imputation methods for missing values considering three groups of classification methods J Luengo, S García, F Herrera. 2012
A taxonomy and experimental study on prototype generation for nearest neighbor classification I Triguero, J Derrac, S Garcia, F Herrera. 2012
Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection J Derrac, C Cornelis, S García, F Herrera. 2012
Integrating instance selection, instance weighting, and feature weighting for nearest neighbor classifiers by coevolutionary algorithms J Derrac, I Triguero, S García, F Herrera. 2012
Integrating a differential evolution feature weighting scheme into prototype generation I Triguero, JN Derrac, S GarcíA, F Herrera. 2012
A co-evolutionary framework for nearest neighbor enhancement: Combining instance and feature weighting with instance selection J Derrac, I Triguero, S García, F Herrera. 2012
EL TIPO DE INCENTIVO COMO DETERMINANTE EN EL ATRACTIVO DE LA PROMOCIÓN DE VENTA EN TURISMO RURAL. EFECTO MODERADOR DEL SEXO, LA EDAD Y LA EXPERIENCIA SDB García, LL Moreno, DMF Jamilena. 2012
Análisis cross-cultural de la aceptación de los sitios web JM Alcántara-Pilar, S Barrio-García, E Crespo-Almendros. 2012
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur. com. CJ Carmona, S Ramírez-Gallego, FJ Torres, E Bernal, MJ del Jesús, .... 2012
Evolutionary selection of hyperrectangles in nested generalized exemplar learning S García, J Derrac, J Luengo, CJ Carmona, F Herrera. 2011
Prototype selection for nearest neighbor classification: Taxonomy and empirical study S Garcia, J Derrac, JR Cano, F Herrera. 2011
Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Alcalá-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, .... 2011
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling J Luengo, A Fernández, S García, F Herrera. 2011
Using KEEL software as a educational tool: A case of study teaching data mining J Derrac, J Luengo, J Alcala-Fdez, A Fernandez, S Garcia. 2011
Soft Computing Techniques in Data Mining. J Alcalá-Fdez, F Herrera, H Ishibuchi, Y Kaisho, Y Nojima, BC Chien, .... 2011
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework J Alcala-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, .... 2011
Addressing the classification with imbalanced data: open problems and new challenges on class distribution A Fernández, S García, F Herrera. 2011
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms J Derrac, S García, D Molina, F Herrera. 2011
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification I Triguero, S García, F Herrera. 2011
A study of the scaling up capabilities of stratified prototype generation I Triguero, J Derrac, F Herrera, S García. 2011
Enhancing IPADE algorithm with a different individual codification I Triguero, S García, F Herrera. 2011
A preliminary study on the use of fuzzy rough set based feature selection for improving evolutionary instance selection algorithms J Derrac, C Cornelis, S García, F Herrera. 2011
Three-way decisions with probabilistic rough sets. Q Duan, Y Chen, D Miao, R Wang, K Wu, J Derrac, C Cornelis, S Garcia, .... 2011
A preliminary study on the selection of generalized instances for imbalanced classification S García, J Derrac, I Triguero, C Carmona, F Herrera. 2010
A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency S García, JR Cano, F Herrera. 2010
Introduction to the experimental design in the data mining tool KEEL J Alcalá-Fdez, F Herrera, S García, MJ del Jesus, L Sánchez, .... 2010
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power S García, A Fernández, J Luengo, F Herrera. 2010
Genetics-based machine learning for rule induction: state of the art, taxonomy, and comparative study A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera. 2010
A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs … J Luengo, S García, F Herrera. 2010
Geneticsbased machine learning for rule induction: Taxonomy, experimental study and state of the art A Fernández, S García, J Luengo, E Bernadó-Mansilla, F Herrera. 2010
Special issue on Hybrid Fuzzy Models JM Benítez, S García, S Caballé, ÁA Juan. 2010
A survey on evolutionary instance selection and generation J Derrac, S García, F Herrera. 2010
IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule J Derrac, S García, F Herrera. 2010
IPADE: Iterative prototype adjustment for nearest neighbor classification I Triguero, S García, F Herrera. 2010
Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability J Derrac, S García, F Herrera. 2010
A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification I Triguero, S García, F Herrera. 2010
IFS-CoCo in the landscape contest: description and results J Derrac, S García, F Herrera. 2010
KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, .... 2009
Diagnose effective evolutionary prototype selection using an overlapping measure S Garcia, JR Cano, E Bernado-Mansilla, F Herrera. 2009
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability S García, A Fernández, J Luengo, F Herrera. 2009
A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests J Luengo, S García, F Herrera. 2009
A first approach to nearest hyperrectangle selection by evolutionary algorithms S García, J Derrac, J Luengo, F Herrera. 2009
Addressing data-complexity for imbalanced data-sets: A preliminary study on the use of preprocessing for c4. 5 J Luengo, A Fernández, S García, F Herrera. 2009
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems S García, A Fernández, F Herrera. 2009
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 special session on real parameter optimization S García, D Molina, M Lozano, F Herrera. 2009
Evolutionary undersampling for classification with imbalanced datasets: Proposals and taxonomy S García, F Herrera. 2009
A first study on the use of coevolutionary algorithms for instance and feature selection J Derrac, S García, F Herrera. 2009
Computational intelligence S Artit. 2009
A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets A Fernández, S García, MJ del Jesus, F Herrera. 2008
A memetic algorithm for evolutionary prototype selection: A scaling up approach S García, JR Cano, F Herrera. 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
KEEL: A data mining software tool integrating genetic fuzzy systems J Alcalá-Fdez, S García, FJ Berlanga, A Fernández, L Sánchez, .... 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
An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons S García, F Herrera. 2008
Evolutionary training set selection to optimize c4. 5 in imbalanced problems S García, F Herrera. 2008
Design of experiments in computational intelligence: on the use of statistical inference S García, F Herrera. 2008
An extension on" statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons S García López, F Herrera. 2008
An analysis of the rule weights and fuzzy reasoning methods for linguistic rule based classification systems applied to problems with highly imbalanced data sets A Fernández, S García, F Herrera, MJ del Jesús. 2007
A study on the use of the fuzzy reasoning method based on the winning rule vs. voting procedure for classification with imbalanced data sets A Fernández, S García, MJ Del Jesús, F Herrera. 2007
Fuzzy Machine Learning-An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced … A Fernandez, S Garcia, F Herrera, MJ Jesus. 2007
A study on the use of statistical tests for experimentation with neural networks J Luengo, S García, F Herrera. 2007
Statistical comparisons by means of non-parametric tests: a case study on genetic based machine learning S García, AD Benítez, F Herrera, A Fernández. 2007
Un estudio experimental sobre el uso de test no paramétricos para analizar el comportamiento de los algoritmos evolutivos en problemas de optimización S García, D Molina, M Lozano, F Herrera. 2007
Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial … S García, D Molina, M Lozano, F Herrera. 2007
The lid-driven square cavity flow: from stationary to time periodic and chaotic S Garcia. 2007
A proposal of evolutionary prototype selection for class imbalance problems S García, JR Cano, A Fernández, F Herrera. 2006
Incorporating knowledge in evolutionary prototype selection S García, JR Cano, F Herrera. 2006
UN PRIMER ESTUDIO SOBRE EL USO DE LOS SISTEMAS DE CLASIFICACIÓN BASADOS EN REGLAS DIFUSAS EN PROBLEMAS DE CLASIFICACIÓN CON CLASES NO BALANCEADAS AF Hilario, S García, F Herrera, MJ del Jesus. 2006
Terpsícore montañesa. Bailes y bailarines en el Santander decimonónico S GARCÍA. 2005
Caracterización ampelográfica de la variedad tinta de vid Rufete (Vitis vinifera L.) en viñedos de la Sierra de Francia (Salamanca) S García, CA Hernández, AM Sanz, JAR Cano. 2005
Observer dependent deformations in illustration D Martín, S García, JC Torres. 2000

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