Observer dependent deformations in illustration. - Domingo Martín; Salvador García 001; Juan Carlos Torres 001 (NPAR, 2000)

A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems. - Salvador García 001; José Ramón Cano; Alberto Fernández 001; Francisco Herrera (IDEAL, 2006)

Incorporating Knowledge in Evolutionary Prototype Selection. - Salvador García 001; José Ramón Cano; Francisco Herrera (IDEAL, 2006)

A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets. - Alberto Fernández 001; Salvador García 001; María José del Jesus; Francisco Herrera (IWANN, 2007)

A Study on the Use of Statistical Tests for Experimentation with Neural Networks. - Julián Luengo; Salvador García 001; Francisco Herrera (IWANN, 2007)

An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. - Alberto Fernández 001; Salvador García 001; Francisco Herrera; María José del Jesus (WILF, 2007)

KEEL: A data mining software tool integrating genetic fuzzy systems. - Jesús Alcalá-Fdez; Salvador García 001; Francisco José Berlanga; Alberto Fernández 001; Luciano Sánchez; María José del Jesus; Francisco Herrera (GEFS, 2008)

Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. - Salvador García 001; Francisco Herrera (HAIS, 2008)

Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. - Salvador García 001; Francisco Herrera (HIS, 2008)

Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection. - José Ramón Cano; Francisco Herrera; Manuel Lozano 001; Salvador García 001 (Expert Syst. Appl., 2008)

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. - Alberto Fernández 001; Salvador García 001; María José del Jesus; Francisco Herrera (Fuzzy Sets Syst., 2008)

A memetic algorithm for evolutionary prototype selection: A scaling up approach. - Salvador García 001; José Ramón Cano; Francisco Herrera (Pattern Recognit., 2008)

Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes. - José Ramón Cano; Salvador García 001; Francisco Herrera (Pattern Recognit. Lett., 2008)

A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. - Joaquín Derrac; Salvador García 001; Francisco Herrera (HAIS, 2009)

A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. - Salvador García 001; Joaquín Derrac; Julián Luengo; Francisco Herrera (ISDA, 2009)

Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. - Julián Luengo; Alberto Fernández 001; Salvador García 001; Francisco Herrera (ISDA, 2009)

Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. - Salvador García 001; Alberto Fernández 001; Francisco Herrera (Appl. Soft Comput., 2009)

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. - Salvador García 001; Francisco Herrera (Evol. Comput., 2009)

A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests. - Julián Luengo; Salvador García 001; Francisco Herrera (Expert Syst. Appl., 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. - Salvador García 001; Daniel Molina; Manuel Lozano 001; Francisco Herrera (J. Heuristics, 2009)

Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure. - Salvador García 001; José Ramón Cano; Ester Bernadó-Mansilla; Francisco Herrera (Int. J. Pattern Recognit. Artif. Intell., 2009)

KEEL: a software tool to assess evolutionary algorithms for data mining problems. - Jesús Alcalá-Fdez; Luciano Sánchez; Salvador García 001; María José del Jesus; Sebastián Ventura; Josep Maria Garrell i Guiu; José Otero; Cristóbal Romero 001; Jaume Bacardit; Víctor M. Rivas; Juan Carlos Fernández 001; Francisco Herrera (Soft Comput., 2009)

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability. - Salvador García 001; Alberto Fernández 001; Julián Luengo; Francisco Herrera (Soft Comput., 2009)

A Review on Evolutionary Prototype Selection. - Salvador García 001; José Ramón Cano; Francisco Herrera (Intelligent Systems for Automated Learning and Adaptation, 2010)

A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2010)

IFS-CoCo in the Landscape Contest: Description and Results. - Joaquín Derrac; Salvador García 001; Francisco Herrera (ICPR Contests, 2010)

A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. - Salvador García 001; Joaquín Derrac; Isaac Triguero; Cristóbal J. Carmona; Francisco Herrera (IEA/AIE (1), 2010)

A Survey on Evolutionary Instance Selection and Generation. - Joaquín Derrac; Salvador García 001; Francisco Herrera (Int. J. Appl. Metaheuristic Comput., 2010)

Special issue on Hybrid Fuzzy Models. - José Manuel Benítez 001; Salvador García 001; Santi Caballé; Angel A. Juan (Int. J. Hybrid Intell. Syst., 2010)

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power. - Salvador García 001; Alberto Fernández 001; Julián Luengo; Francisco Herrera (Inf. Sci., 2010)

Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability. - Joaquín Derrac; Salvador García 001; Francisco Herrera (Memetic Comput., 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 and EventCovering method. - Julián Luengo; Salvador García 001; Francisco Herrera (Neural Networks, 2010)

IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule. - Joaquín Derrac; Salvador García 001; Francisco Herrera (Pattern Recognit., 2010)

Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study. - Alberto Fernández 001; Salvador García 001; Julián Luengo; Ester Bernadó-Mansilla; Francisco Herrera (IEEE Trans. Evol. Comput., 2010)

IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Trans. Neural Networks, 2010)

Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution. - Alberto Fernández 001; Salvador García 001; Francisco Herrera (HAIS (1), 2011)

Enhancing IPADE Algorithm with a Different Individual Codification. - Isaac Triguero; Salvador García 001; Francisco Herrera (HAIS (2), 2011)

A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. - Joaquín Derrac; Chris Cornelis; Salvador García 001; Francisco Herrera (IWANN (1), 2011)

A study of the scaling up capabilities of stratified prototype generation. - Isaac Triguero; Joaquín Derrac; Francisco Herrera; Salvador García 001 (NaBIC, 2011)

Evolutionary selection of hyperrectangles in nested generalized exemplar learning. - Salvador García 001; Joaquín Derrac; Julián Luengo; Cristóbal J. Carmona; Francisco Herrera (Appl. Soft Comput., 2011)

KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. - Jesús Alcalá-Fdez; Alberto Fernández 001; Julián Luengo; Joaquín Derrac; Salvador García 001 (J. Multiple Valued Log. Soft Comput., 2011)

Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (Pattern Recognit., 2011)

Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling. - Julián Luengo; Alberto Fernández 001; Salvador García 001; Francisco Herrera (Soft Comput., 2011)

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. - Joaquín Derrac; Salvador García 001; Daniel Molina; Francisco Herrera (Swarm Evol. Comput., 2011)

A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. - Joaquín Derrac; Isaac Triguero; Salvador García 001; Francisco Herrera (HAIS (2), 2012)

Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. - Cristóbal J. Carmona; Sergio Ramírez-Gallego; F. J. Torres; Enrique Bernal; María José del Jesus; Salvador García 001 (ICEIS (2), 2012)

A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. - Salvador García 001; Victoria López; Julián Luengo; Cristóbal J. Carmona; Francisco Herrera (ICPRAM (1), 2012)

Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. - Cristóbal J. Carmona; Sergio Ramírez-Gallego; F. J. Torres; Enrique Bernal; María José del Jesus; Salvador García 001 (Expert Syst. Appl., 2012)

Integrating a differential evolution feature weighting scheme into prototype generation. - Isaac Triguero; Joaquín Derrac; Salvador García 001; Francisco Herrera (Neurocomputing, 2012)

Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection. - Joaquín Derrac; Chris Cornelis; Salvador García 001; Francisco Herrera (Inf. Sci., 2012)

On the choice of the best imputation methods for missing values considering three groups of classification methods. - Julián Luengo; Salvador García 001; Francisco Herrera (Knowl. Inf. Syst., 2012)

Evolutionary-based selection of generalized instances for imbalanced classification. - Salvador García 001; Joaquín Derrac; Isaac Triguero; Cristóbal J. Carmona; Francisco Herrera (Knowl. Based Syst., 2012)

Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. - Salvador García 001; Joaquín Derrac; José Ramón Cano; Francisco Herrera (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms. - Joaquín Derrac; Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Part B, 2012)

A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. - Isaac Triguero; Joaquín Derrac; Salvador García 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Part C, 2012)

Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS. - Joaquín Derrac; Salvador García 001; Sheldon Hui; Francisco Herrera; Ponnuthurai Nagaratnam Suganthan (SDE, 2013)

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. - Victoria López; Alberto Fernández 001; Salvador García 001; Vasile Palade; Francisco Herrera (Inf. Sci., 2013)

On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection. - Joaquín Derrac; Nele Verbiest; Salvador García 001; Chris Cornelis; Francisco Herrera (Soft Comput., 2013)

A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. - Salvador García 001; Julián Luengo; José Antonio Sáez; Victoria López; Francisco Herrera (IEEE Trans. Knowl. Data Eng., 2013)

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. - Bartosz Krawczyk; Isaac Triguero; Salvador García 001; Michal Wozniak 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2014)

A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. - Isaac Triguero; Daniel Peralta; Jaume Bacardit; Salvador García 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2014)

Addressing imbalanced classification with instance generation techniques: IPADE-ID. - Victoria López; Isaac Triguero; Cristóbal J. Carmona; Salvador García 001; Francisco Herrera (Neurocomputing, 2014)

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. - Isaac Triguero; José A. Sáez; Julián Luengo; Salvador García 001; Francisco Herrera (Neurocomputing, 2014)

Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects. - Joaquín Derrac; Salvador García 001; Francisco Herrera (Inf. Sci., 2014)

Analyzing convergence performance of evolutionary algorithms: A statistical approach. - Joaquín Derrac; Salvador García 001; Sheldon Hui; Ponnuthurai Nagaratnam Suganthan; Francisco Herrera (Inf. Sci., 2014)

On the statistical analysis of the parameters' trend in a machine learning algorithm. - Salvador García 001; Joaquín Derrac; Sergio Ramírez-Gallego; Francisco Herrera (Prog. Artif. Intell., 2014)

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (CORES, 2015)

An Interval Valued K-Nearest Neighbors Classifier. - Joaquín Derrac; Francisco Chiclana; Salvador García 001; Francisco Herrera (IFSA-EUSFLAT, 2015)

Managing Monotonicity in Classification by a Pruned Random Forest. - Sergio González; Francisco Herrera; Salvador García 001 (IDEAL, 2015)

Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego (TrustCom/BigDataSE/ISPA (2), 2015)

MRPR: A MapReduce solution for prototype reduction in big data classification. - Isaac Triguero; Daniel Peralta; Jaume Bacardit; Salvador García 001; Francisco Herrera (Neurocomputing, 2015)

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. - Daniel Peralta; Mikel Galar; Isaac Triguero; Daniel Paternain; Salvador García 001; Edurne Barrenechea; José Manuel Benítez 001; Humberto Bustince; Francisco Herrera (Inf. Sci., 2015)

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. - Isaac Triguero; Salvador García 001; Francisco Herrera (Knowl. Inf. Syst., 2015)

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. - Mikel Galar; Joaquín Derrac; Daniel Peralta; Isaac Triguero; Daniel Paternain; Carlos Lopez-Molina; Salvador García 001; José Manuel Benítez 001; Miguel Pagola; Edurne Barrenechea Tartas; Humberto Bustince Sola; Francisco Herrera (Knowl. Based Syst., 2015)

Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity. - Sergio González; Francisco Herrera; Salvador García 001 (New Gener. Comput., 2015)

SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. - Isaac Triguero; Salvador García 001; Francisco Herrera (IEEE Trans. Cybern., 2015)

Data Preprocessing in Data Mining - Salvador García 001; Julián Luengo; Francisco Herrera (Springer, 2015)

A Nearest Hyperrectangle Monotonic Learning Method. - Javier García 004; José Ramón Cano; Salvador García 001 (HAIS, 2016)

Managing Monotonicity in Classification by a Pruned AdaBoost. - Sergio González; Francisco Herrera; Salvador García 001 (HAIS, 2016)

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. - Isaac Triguero; Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera (iThings/GreenCom/CPSCom/SmartData, 2016)

Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis. - Nele Verbiest; Joaquín Derrac; Chris Cornelis; Salvador García 001; Francisco Herrera (Appl. Soft Comput., 2016)

Hyperrectangles Selection for Monotonic Classification by Using Evolutionary Algorithms. - Javier García 004; Adnan Al-bar; Naif R. Aljohani; José Ramón Cano; Salvador García 001 (Int. J. Comput. Intell. Syst., 2016)

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. - Daniel Peralta; Isaac Triguero; Salvador García 001; Francisco Herrera; José Manuel Benítez 001 (Inf. Fusion, 2016)

Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. - Joaquín Derrac; Francisco Chiclana; Salvador García 001; Francisco Herrera (Inf. Sci., 2016)

Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. - Salvador García 001; Julián Luengo; Francisco Herrera (Knowl. Based Syst., 2016)

Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. - Zhongliang Zhang 001; Bartosz Krawczyk; Salvador García 001; Alejandro Rosales-Pérez; Francisco Herrera (Knowl. Based Syst., 2016)

Landmark-based music recognition system optimisation using genetic algorithms. - Salvador Gutiérrez; Salvador García 001 (Multim. Tools Appl., 2016)

Current prospects on ordinal and monotonic classification. - Pedro Antonio Gutiérrez; Salvador García 001 (Prog. Artif. Intell., 2016)

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Cybern., 2016)

Data discretization: taxonomy and big data challenge. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; José Manuel Benítez 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2016)

Exact fuzzy k-nearest neighbor classification for big datasets. - Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera; Isaac Triguero (FUZZ-IEEE, 2017)

rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. - Jacinto Carrasco; Salvador García 001; María del Mar Rueda; Francisco Herrera (HAIS, 2017)

Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. - Zhong-Liang Zhang 001; Xinggang Luo; Salvador García 001; Francisco Herrera (Appl. Soft Comput., 2017)

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (CoRR, 2017)

Training set selection for monotonic ordinal classification. - José Ramón Cano; Salvador García 001 (Data Knowl. Eng., 2017)

Prototype selection to improve monotonic nearest neighbor. - José Ramón Cano; Naif R. Aljohani; Rabeeh Ayaz Abbasi; Jalal S. Alowibdi; Salvador García 001 (Eng. Appl. Artif. Intell., 2017)

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. - Isaac Triguero; Sergio González; Jose M. Moyano; Salvador García 001; Jesús Alcalá-Fdez; Julián Luengo; Alberto Fernández 001; María José del Jesus; Luciano Sánchez; Francisco Herrera (Int. J. Comput. Intell. Syst., 2017)

A survey on data preprocessing for data stream mining: Current status and future directions. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; Francisco Herrera (Neurocomputing, 2017)

CommuniMents: A Framework for Detecting Community Based Sentiments for Events. - Muhammad Aslam Jarwar; Rabeeh Ayaz Abbasi; Mubashar Mushtaq; Onaiza Maqbool; Naif R. Aljohani; Ali Daud; Jalal S. Alowibdi; José Ramón Cano; Salvador García 001; Ilyoung Chong (Int. J. Semantic Web Inf. Syst., 2017)

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. - Daniel Peralta; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (Inf. Sci., 2017)

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Knowl. Based Syst., 2017)

Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. - Zhong-Liang Zhang 001; Xinggang Luo; Salvador García 001; Jiafu Tang; Francisco Herrera (Knowl. Based Syst., 2017)

MoNGEL: monotonic nested generalized exemplar learning. - Javier García 004; Habib M. Fardoun; Daniyal M. Alghazzawi; José Ramón Cano; Salvador García 001 (Pattern Anal. Appl., 2017)

Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. - Sergio González; Salvador García 001; Marcelino Lázaro; Aníbal R. Figueiras-Vidal; Francisco Herrera (Pattern Recognit., 2017)

An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. - Alejandro Rosales-Pérez; Salvador García 001; Jesus A. Gonzalez; Carlos A. Coello Coello; Francisco Herrera (IEEE Trans. Evol. Comput., 2017)

Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. - Jesús Alcalá-Fdez; Rafael Alcalá; Sergio González; Yusuke Nojima; Salvador García 001 (IEEE Trans. Fuzzy Syst., 2017)

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Learning from Imbalanced Data Sets - Alberto Fernández 001; Salvador García 001; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera (Springer, 2018)

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. - Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera; Isaac Triguero (FUZZ-IEEE, 2018)

Cooperative multi-objective evolutionary support vector machines for multiclass problems. - Alejandro Rosales-Pérez; Andrés Eduardo Gutiérrez-Rodríguez; Salvador García 001; Hugo Terashima-Marín; Carlos A. Coello Coello; Francisco Herrera (GECCO, 2018)

A First Attempt on Monotonic Training Set Selection. - José Ramón Cano; Salvador García 001 (HAIS, 2018)

On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. - Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (HAIS, 2018)

Self Inertia Weight Adaptation for the Particle Swarm Optimization. - Oussama Aoun; Abdellatif El Afia; Salvador García 001 (LOPAL, 2018)

MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. - Alejandro Rosales-Pérez; Salvador García 001; Hugo Terashima-Marín; Carlos A. Coello Coello; Francisco Herrera (IEEE Comput. Intell. Mag., 2018)

BELIEF: A distance-based redundancy-proof feature selection method for Big Data. - Sergio Ramírez-Gallego; Salvador García 001; Ning Xiong 001; Francisco Herrera (CoRR, 2018)

DPASF: A Flink Library for Streaming Data preprocessing. - Alejandro Alcalde-Barros; Diego García-Gil; Salvador García 001; Francisco Herrera (CoRR, 2018)

A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. - David Charte; Francisco Charte; Salvador García 001; Francisco Herrera (CoRR, 2018)

A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. - Juan-Luis Suárez; Salvador García 001; Francisco Herrera (CoRR, 2018)

Online entropy-based discretization for data streaming classification. - Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Future Gener. Comput. Syst., 2018)

On the use of convolutional neural networks for robust classification of multiple fingerprint captures. - Daniel Peralta; Isaac Triguero; Salvador García 001; Yvan Saeys; José Manuel Benítez 001; Francisco Herrera (Int. J. Intell. Syst., 2018)

DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. - Zhong-Liang Zhang 001; Xinggang Luo; Sergio González; Salvador García 001; Francisco Herrera (Neurocomputing, 2018)

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. - David Charte; Francisco Charte; Salvador García 001; María José del Jesus; Francisco Herrera (Inf. Fusion, 2018)

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. - Sergio Ramírez-Gallego; Alberto Fernández 001; Salvador García 001; Min Chen 003; Francisco Herrera (Inf. Fusion, 2018)

Dynamic ensemble selection for multi-class imbalanced datasets. - Salvador García 001; Zhong-Liang Zhang 001; Abdulrahman H. Altalhi; Saleh Alshomrani; Francisco Herrera (Inf. Sci., 2018)

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary. - Alberto Fernández 001; Salvador García 001; Francisco Herrera; Nitesh V. Chawla (J. Artif. Intell. Res., 2018)

Imbalance: Oversampling algorithms for imbalanced classification in R. - Ignacio Cordón; Salvador García 001; Alberto Fernández 001; Francisco Herrera (Knowl. Based Syst., 2018)

Principal Components Analysis Random Discretization Ensemble for Big Data. - Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Knowl. Based Syst., 2018)

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (Swarm Evol. Comput., 2018)

Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. - Diego García-Gil; Alejandro Alcalde-Barros; Julián Luengo; Salvador García 001; Francisco Herrera (IoTBDS, 2019)

A First Approach on Big Data Missing Values Imputation. - Besay Montesdeoca; Julián Luengo; Jesús Maillo; Diego García-Gil; Salvador García 001; Francisco Herrera (IoTBDS, 2019)

From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. - Diego García-Gil; Francisco Luque Sánchez; Julián Luengo; Salvador García 001; Francisco Herrera (Int. J. Intell. Syst., 2019)

Monotonic classification: An overview on algorithms, performance measures and data sets. - José Ramón Cano; Pedro Antonio Gutiérrez; Bartosz Krawczyk; Michal Wozniak 001; Salvador García 001 (Neurocomputing, 2019)

Label noise filtering techniques to improve monotonic classification. - José Ramón Cano; Julián Luengo; Salvador García 001 (Neurocomputing, 2019)

Smartdata: Data preprocessing to achieve smart data in R. - Ignacio Cordón; Julián Luengo; Salvador García 001; Francisco Herrera; Francisco Charte (Neurocomputing, 2019)

Enabling Smart Data: Noise filtering in Big Data classification. - Diego García-Gil; Julián Luengo; Salvador García 001; Francisco Herrera (Inf. Sci., 2019)

Chain based sampling for monotonic imbalanced classification. - Sergio González; Salvador García 001; Sheng-Tun Li; Francisco Herrera (Inf. Sci., 2019)

Instance reduction for one-class classification. - Bartosz Krawczyk; Isaac Triguero; Salvador García 001; Michal Wozniak 001; Francisco Herrera (Knowl. Inf. Syst., 2019)

Adaptive cooperation of multi-swarm particle swarm optimizer-based hidden Markov model. - Abdellatif El Afia; Oussama Aoun; Salvador García 001 (Prog. Artif. Intell., 2019)

A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. - David Charte; Francisco Charte; Salvador García 001; Francisco Herrera (Prog. Artif. Intell., 2019)

OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. - M. Cristina Heredia-Gómez; Salvador García 001; Pedro Antonio Gutiérrez; Francisco Herrera (Prog. Artif. Intell., 2019)

Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. - Isaac Triguero; Diego García-Gil; Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2019)

Big Data Preprocessing - Enabling Smart Data - Julián Luengo; Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Springer, 2020)

A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification. - Hoang Lam Le; Dario Landa-Silva; Mikel Galar; Salvador García 001; Isaac Triguero (CEC, 2020)

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism. - Germán González-Almagro; Alejandro Rosales-Pérez; Julián Luengo; José Ramón Cano; Salvador García 001 (GECCO, 2020)

Agglomerative Constrained Clustering Through Similarity and Distance Recalculation. - Germán González-Almagro; Juan-Luis Suárez; Julián Luengo; José Ramón Cano; Salvador García 001 (HAIS, 2020)

Similarity-based and Iterative Label Noise Filters for Monotonic Classification. - José Ramón Cano; Julián Luengo; Salvador García 001 (HICSS, 2020)

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. - Daniel Molina; Javier Poyatos; Javier Del Ser; Salvador García 001; Amir Hussain 001; Francisco Herrera (Cogn. Comput., 2020)

DILS: Constrained clustering through dual iterative local search. - Germán González-Almagro; Julián Luengo; José Ramón Cano; Salvador García 001 (Comput. Oper. Res., 2020)

Smart Data based Ensemble for Imbalanced Big Data Classification. - Diego García-Gil; Johan Holmberg; Salvador García 001; Ning Xiong 001; Francisco Herrera (CoRR, 2020)

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. - Daniel Molina; Javier Poyatos; Javier Del Ser; Salvador García 001; Amir Hussain 001; Francisco Herrera (CoRR, 2020)

Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. - Sergio González; Salvador García 001; Sheng-Tun Li; Robert I. John; Francisco Herrera (CoRR, 2020)

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. - Alejandro Barredo Arrieta; Natalia Díaz Rodríguez; Javier Del Ser; Adrien Bennetot; Siham Tabik; Alberto Barbado; Salvador García 001; Sergio Gil-Lopez; Daniel Molina; Richard Benjamins; Raja Chatila 001; Francisco Herrera (Inf. Fusion, 2020)

A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. - Sergio González; Salvador García 001; Javier Del Ser; Lior Rokach; Francisco Herrera (Inf. Fusion, 2020)

Preprocessing methodology for time series: An industrial world application case study. - Juan Antonio Cortés-Ibáñez; Sergio González; José Javier Valle-Alonso; Julián Luengo; Salvador García 001; Francisco Herrera (Inf. Sci., 2020)

pyDML: A Python Library for Distance Metric Learning. - Juan-Luis Suárez; Salvador García 001; Francisco Herrera (J. Mach. Learn. Res., 2020)

Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. - Jacinto Carrasco; Salvador García 001; María del Mar Rueda; Swagatam Das; Francisco Herrera (Swarm Evol. Comput., 2020)

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. - Jesús Maillo; Salvador García 001; Julián Luengo; Francisco Herrera; Isaac Triguero (IEEE Trans. Fuzzy Syst., 2020)

Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. - Juan-Luis Suárez; Salvador García 001; Francisco Herrera (DSAA, 2021)

Distance Metric Learning with Prototype Selection for Imbalanced Classification. - Juan-Luis Suárez; Salvador García 001; Francisco Herrera (HAIS, 2021)

An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification. - Ismay Pérez-Sánchez; Bárbara Cervantes; Miguel Angel Medina-Pérez; Raúl Monroy; Octavio Loyola-González; Salvador García 001; Francisco Herrera (IEEE Access, 2021)

Enhancing instance-level constrained clustering through differential evolution. - Germán González-Almagro; Julián Luengo; José Ramón Cano; Salvador García 001 (Appl. Soft Comput., 2021)

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. - Hoang Lam Le; Dario Landa-Silva; Mikel Galar; Salvador García 001; Isaac Triguero (Appl. Soft Comput., 2021)

How to design the fair experimental classifier evaluation. - Katarzyna Stapor; Pawel Ksieniewicz; Salvador García 001; Michal Wozniak 001 (Appl. Soft Comput., 2021)

Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities. - Swagatam Das; Salvador García 001; Isaac Triguero (Neurocomputing, 2021)

Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. - Sergio González; Salvador García 001; Sheng-Tun Li; Robert Ivor John; Francisco Herrera (Neurocomputing, 2021)

A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges. - Juan-Luis Suárez; Salvador García 001; Francisco Herrera (Neurocomputing, 2021)

Decomposition-Fusion for Label Distribution Learning. - Manuel González; Germán González-Almagro; Isaac Triguero; José Ramón Cano; Salvador García 001 (Inf. Fusion, 2021)

Synthetic Sample Generation for Label Distribution Learning. - Manuel González; Julián Luengo; José Ramón Cano; Salvador García 001 (Inf. Sci., 2021)

BELIEF: A distance-based redundancy-proof feature selection method for Big Data. - David López; Sergio Ramírez-Gallego; Salvador García 001; Ning Xiong 001; Francisco Herrera (Inf. Sci., 2021)

Advances in domain adaptation for computer vision. - Pourya Shamsolmoali; Salvador García 001; Huiyu Zhou 001; M. Emre Celebi 001 (Image Vis. Comput., 2021)

Ordinal regression with explainable distance metric learning based on ordered sequences. - Juan-Luis Suárez; Salvador García 001; Francisco Herrera (Mach. Learn., 2021)

SOUL: Scala Oversampling and Undersampling Library for imbalance classification. - Néstor Rodríguez; David López; Alberto Fernández 001; Salvador García 001; Francisco Herrera (SoftwareX, 2021)

ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism. - Germán González-Almagro; Alejandro Rosales-Pérez; Julián Luengo; José Ramón Cano; Salvador García 001 (Swarm Evol. Comput., 2021)

Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. - Szymon Wojciechowski; Germán González-Almagro; Salvador García 001; Michal Wozniak 001 (HAIS, 2022)

Monotonic Constrained Clustering: A First Approach. - Germán González-Almagro; Pablo Sánchez Bermejo; Juan-Luis Suárez; José Ramón Cano; Salvador García 001 (IEA/AIE, 2022)

A Preliminary Approach for using Metric Learning in Monotonic Classification. - Juan-Luis Suárez; Germán González-Almagro; Salvador García 001; Francisco Herrera (IEA/AIE, 2022)

Wasserstein Embedding for Capsule Learning. - Pourya Shamsolmoali; Masoumeh Zareapoor; Swagatam Das; Eric Granger; Salvador García 001 (CoRR, 2022)

3SHACC: Three stages hybrid agglomerative constrained clustering. - Germán González-Almagro; Juan-Luis Suárez; Julián Luengo; José Ramón Cano; Salvador García 001 (Neurocomputing, 2022)

Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. - Alejandro Rosales-Pérez; Salvador García 001; Francisco Herrera (IEEE Trans. Cybern., 2023)

GEN: Generative Equivariant Networks for Diverse Image-to-Image Translation. - Pourya Shamsolmoali; Masoumeh Zareapoor; Swagatam Das; Salvador García 001; Eric Granger; Jie Yang 002 (IEEE Trans. Cybern., 2023)

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population. - Shu Lih Oh; V. Jahmunah 001; Elizabeth Emma Palmer; Prabal Datta Barua; Sengul Dogan; Turker Tuncer; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm. - Moloud Abdar; Arash Mehrzadi; Milad Goudarzi; Farzad Masoudkabir; Leonardo Rundo; Mohammad Mamouei; Evis Sala; Abbas Khosravi; Vladimir Makarenkov; U. Rajendra Acharya; Seyedmohammad Saadatagah; Mohammadreza Naderian; et al. (Inf. Fusion, 2023)

Speech emotion recognition via multiple fusion under spatial-temporal parallel network. - Chenquan Gan; Kexin Wang; Qingyi Zhu; Yong Xiang 001; Deepak Kumar Jain 001; Salvador García 001 (Neurocomputing, 2023)

Fractional Correspondence Framework in Detection Transformer. - Masoumeh Zareapoor; Pourya Shamsolmoali; Huiyu Zhou 001; Yue Lu; Salvador García 001 (ACM Multimedia, 2024)

RSAFormer: A method of polyp segmentation with region self-attention transformer. - Xuehui Yin; Jun Zeng 007; Tianxiao Hou; Chao Tang; Chenquan Gan; Deepak Kumar Jain 001; Salvador García 001 (Comput. Biol. Medicine, 2024)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. - Javier Poyatos; Javier Del Ser; Salvador García 001; Hisao Ishibuchi; Daniel Molina; Isaac Triguero; Bing Xue 001; Xin Yao 001; Francisco Herrera (CoRR, 2024)

Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model. - Deepak Kumar Jain 001; Xudong Zhao; Salvador García 001; Neelakandan Subramani (Expert Syst. Appl., 2024)

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals. - Silvia Seoni; Filippo Molinari; U. Rajendra Acharya; Shu Lih Oh; Prabal Datta Barua; Salvador García 001; Massimo Salvi (Inf. Sci., 2024)

Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation. - Chenquan Gan; Yu Tang; Xiang Fu; Qingyi Zhu; Deepak Kumar Jain 001; Salvador García 001 (Knowl. Based Syst., 2024)

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data. - Behrouz Ahadzadeh; Moloud Abdar; Mahdieh Foroumandi; Fatemeh Safara; Abbas Khosravi; Salvador García 001; Ponnuthurai Nagaratnam Suganthan (Swarm Evol. Comput., 2024)

Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013-2023). - Massimo Salvi; Madhav R. Acharya; Silvia Seoni; Oliver Faust; Ru-San Tan; Prabal Datta Barua; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2024)

Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance. - Chenquan Gan; Xiaopeng Cao; Qingyi Zhu; Deepak Kumar Jain 001; Salvador García 001 (Appl. Intell., 2024)

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selection. - Behrouz Ahadzadeh; Moloud Abdar; Fatemeh Safara; Leyla Aghaei; Seyedali Mirjalili; Abbas Khosravi; Salvador García 001; Fakhri Karray; U. Rajendra Acharya (Appl. Soft Comput., 2024)

Clustering approximation via a fusion of multiple random samples. - Mohammad Sultan Mahmud; Joshua Zhexue Huang; Salvador García 001 (Inf. Fusion, 2024)

Semi-supervised clustering with two types of background knowledge: Fusing pairwise constraints and monotonicity constraints. - Germán González-Almagro; Pablo Sánchez Bermejo; Juan-Luis Suárez; José Ramón Cano; Salvador García 001 (Inf. Fusion, 2024)

Metric learning for monotonic classification: turning the space up to the limits of monotonicity. - Juan-Luis Suárez; Germán González-Almagro; Salvador García 001; Francisco Herrera (Appl. Intell., 2024)

Multi-modality approaches for medical support systems: A systematic review of the last decade. - Massimo Salvi; Hui Wen Loh; Silvia Seoni; Prabal Datta Barua; Salvador García 001; Filippo Molinari; U. Rajendra Acharya (Inf. Fusion, 2024)

Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. - Diego García-Gil; Salvador García 001; Ning Xiong 001; Francisco Herrera (Cogn. Comput., 2024)

RSPCA: Random Sample Partition and Clustering Approximation for ensemble learning of big data. - Mohammad Sultan Mahmud; Hua Zheng; Diego García-Gil; Salvador García 001; Joshua Zhexue Huang (Pattern Recognit., 2025)

Hybrid Gromov-Wasserstein Embedding for Capsule Learning. - Pourya Shamsolmoali; Masoumeh Zareapoor; Swagatam Das; Eric Granger; Salvador García 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Semi-supervised constrained clustering: an in-depth overview, ranked taxonomy and future research directions. - Germán González-Almagro; Daniel Peralta; Eli De Poorter; José Ramón Cano; Salvador García 001 (Artif. Intell. Rev., 2025)