Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. - César Hervás-Martínez; E. J. Romero Soto; Nicolás García-Pedrajas; Rafael Medina Carnicer (IPMU, 1992)

Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. - Nicolás García-Pedrajas; Eloy Sanz-Tapia; Domingo Ortiz-Boyer; César Hervás-Martínez (IWANN (1), 2001)

Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. - César Hervás-Martínez; Domingo Ortiz-Boyer; Nicolás García-Pedrajas (PPSN, 2002)

Crossover Operator Effect in Function Optimization with Constraints. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (PPSN, 2002)

Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). - Nicolás García-Pedrajas; César Hervás-Martínez; José Muñoz-Pérez (Neural Networks, 2002)

Node Level Crossover Applied to Neural Network Evolution. - Eloy Sanz-Tapia; Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez (IWANN (1), 2003)

COVNET: a cooperative coevolutionary model for evolving artificial neural networks. - Nicolás García-Pedrajas; César Hervás-Martínez; José Muñoz-Pérez (IEEE Trans. Neural Networks, 2003)

Cooperative coevolution of generalized multi-layer perceptrons. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez (Neurocomputing, 2004)

Crossover effect over penalty methods in function optimization with constraints. - Domingo Ortiz-Boyer; Rafael del Castillo Gomariz; Nicolás García-Pedrajas; César Hervás-Martínez (Congress on Evolutionary Computation, 2005)

Cascade Ensembles. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; Rafael del Castillo Gomariz; César Hervás-Martínez (IWANN, 2005)

CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (J. Artif. Intell. Res., 2005)

Cooperative coevolution of artificial neural network ensembles for pattern classification. - Nicolás García-Pedrajas; César Hervás-Martínez; Domingo Ortiz-Boyer (IEEE Trans. Evol. Comput., 2005)

Classification by means of Evolutionary Response Surfaces. - Rafael del Castillo Gomariz; Nicolás García-Pedrajas (ESANN, 2006)

An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; César Hervás-Martínez (Neural Networks, 2006)

Evolutionary product unit based neural networks for regression. - Alfonso C. Martínez-Estudillo; Francisco J. Martínez-Estudillo; César Hervás-Martínez; Nicolás García-Pedrajas (Neural Networks, 2006)

Improving Multiclass Pattern Recognition by the Combination of Two Strategies. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Hybridization of evolutionary algorithms and local search by means of a clustering method. - Alfonso C. Martínez-Estudillo; César Hervás-Martínez; Francisco J. Martínez-Estudillo; Nicolás García-Pedrajas (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks. - Nicolás García-Pedrajas (Multi-Objective Machine Learning, 2006)

Improving crossover operator for real-coded genetic algorithms using virtual parents. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (J. Heuristics, 2007)

Immune network based ensembles. - Nicolás García-Pedrajas; Colin Fyfe (Neurocomputing, 2007)

Nonlinear Boosting Projections for Ensemble Construction. - Nicolás García-Pedrajas; César Ignacio García-Osorio; Colin Fyfe (J. Mach. Learn. Res., 2007)

A cooperative constructive method for neural networks for pattern recognition. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer (Pattern Recognit., 2007)

Constructing ensembles of classifiers using linear projections based on misclassified instances. - César Ignacio García-Osorio; Nicolás García-Pedrajas (ESANN, 2008)

A tool for teaching LL and LR parsing algorithms. - César Ignacio García-Osorio; Carlos Gómez-Palacios; Nicolás García-Pedrajas (ITiCSE, 2008)

Teaching push-down automata and turing machines. - César Ignacio García-Osorio; Iñigo Mediavilla-Sáiz; Javier Jimeno-Visitación; Nicolás García-Pedrajas (ITiCSE, 2008)

Construction of classifier ensembles by means of artificial immune systems. - Nicolás García-Pedrajas; Colin Fyfe (J. Heuristics, 2008)

Boosting random subspace method. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer (Neural Networks, 2008)

Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. - Domingo Ortiz-Boyer; César Hervás-Martínez; Nicolás García-Pedrajas (Soft Comput., 2008)

Evolving Output Codes for Multiclass Problems. - Nicolás García-Pedrajas; Colin Fyfe (IEEE Trans. Evol. Comput., 2008)

A divide-and-conquer recursive approach for scaling up instance selection algorithms. - Aida de Haro-García; Nicolás García-Pedrajas (Data Min. Knowl. Discov., 2009)

Boosting k-nearest neighbor classifier by means of input space projection. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer (Expert Syst. Appl., 2009)

Supervised projection approach for boosting classifiers. - Nicolás García-Pedrajas (Pattern Recognit., 2009)

Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. - Nicolás García-Pedrajas (IEEE Trans. Neural Networks, 2009)

Large Scale Instance Selection by Means of a Parallel Algorithm. - Aida de Haro-García; Juan Antonio Romero del Castillo; Nicolás García-Pedrajas (IDEAL, 2010)

Class Imbalance Methods for Translation Initiation Site Recognition. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer; María D. García-Pedrajas; Colin Fyfe (IEA/AIE (1), 2010)

Scaling Up Feature Selection by Means of Democratization. - Aida de Haro-García; Nicolás García-Pedrajas (IEA/AIE (2), 2010)

Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts. - César Ignacio García-Osorio; Aida de Haro-García; Nicolás García-Pedrajas (Artif. Intell., 2010)

A cooperative coevolutionary algorithm for instance selection for instance-based learning. - Nicolás García-Pedrajas; Juan Antonio Romero del Castillo; Domingo Ortiz-Boyer (Mach. Learn., 2010)

A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets. - Aida de Haro-García; Javier Pérez-Rodríguez; Nicolás García-Pedrajas (CAEPIA, 2011)

Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once. - Javier Pérez-Rodríguez; Aida de Haro-García; Nicolás García-Pedrajas (CAEPIA, 2011)

Translation Initiation Site Recognition by Means of Evolutionary Response Surfaces. - Rafael del Castillo Gomariz; Nicolás García-Pedrajas (IEA/AIE (2), 2011)

Feature Selection for Translation Initiation Site Recognition. - Aida de Haro-García; Javier Pérez-Rodríguez; Nicolás García-Pedrajas (IEA/AIE (2), 2011)

An Evolutionary Algorithm for Gene Structure Prediction. - Javier Pérez-Rodríguez; Nicolás García-Pedrajas (IEA/AIE (2), 2011)

A scalable method for instance selection for class-imbalance datasets. - Aida de Haro-García; Nicolás García-Pedrajas (ISDA, 2011)

Evolutionary computation, combined with support vector machines, for gene structure prediction. - Javier Pérez-Rodríguez; Nicolás García-Pedrajas (ISDA, 2011)

Special issue on the trends in applied intelligence systems. - Nicolás García-Pedrajas; Francisco Herrera; Colin Fyfe (Appl. Intell., 2011)

Constructing ensembles of classifiers using supervised projection methods based on misclassified instances. - Nicolás García-Pedrajas; César Ignacio García-Osorio (Expert Syst. Appl., 2011)

An empirical study of binary classifier fusion methods for multiclass classification. - Nicolás García-Pedrajas; Domingo Ortiz-Boyer (Inf. Fusion, 2011)

Evolutionary computation for training set selection. - Nicolás García-Pedrajas (WIREs Data Mining Knowl. Discov., 2011)

Linear Projection Methods - An Experimental Study for Regression Problems. - Carlos Pardo-Aguilar; José-Francisco Díez-Pastor; Nicolás García-Pedrajas; Juan José Rodríguez Diez; César Ignacio García-Osorio (ICPRAM (1), 2012)

A Comparative Study of Content Statistics of Coding Regions in an Evolutionary Computation Framework for Gene Prediction. - Javier Pérez-Rodríguez; Alexis G. Arroyo-Peña; Nicolás García-Pedrajas (IEA/AIE, 2012)

Evolutionary response surfaces for classification: an interpretable model. - Rafael del Castillo Gomariz; Nicolás García-Pedrajas (Appl. Intell., 2012)

Multi-selection of instances: A straightforward way to improve evolutionary instance selection. - Nicolás García-Pedrajas; Javier Pérez-Rodríguez (Appl. Soft Comput., 2012)

Large scale instance selection by means of federal instance selection. - Aida de Haro-García; Nicolás García-Pedrajas; Juan Antonio Romero del Castillo (Data Knowl. Eng., 2012)

Random feature weights for decision tree ensemble construction. - Jesús Maudes; Juan J. Rodríguez Diez; César Ignacio García-Osorio; Nicolás García-Pedrajas (Inf. Fusion, 2012)

Supervised subspace projections for constructing ensembles of classifiers. - Nicolás García-Pedrajas; Jesús Manuel Maudes Raedo; César Ignacio García-Osorio; Juan José Rodríguez Diez (Inf. Sci., 2012)

Special issue on "New Trends in Data Mining" NTDM. - José Manuel Benítez 001; Nicolás García-Pedrajas; Francisco Herrera (Knowl. Based Syst., 2012)

Class imbalance methods for translation initiation site recognition in DNA sequences. - Nicolás García-Pedrajas; Javier Pérez-Rodríguez; María D. García-Pedrajas; Domingo Ortiz-Boyer; Colin Fyfe (Knowl. Based Syst., 2012)

Evolutionary algorithms and cross entropy. - Colin Fyfe; Domingo Ortiz-Boyer; Nicolás García-Pedrajas (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

Scaling up data mining algorithms: review and taxonomy. - Nicolás García-Pedrajas; Aida de Haro-García (Prog. Artif. Intell., 2012)

A Scalable Feature Selection Method to Improve the Analysis of Microarrays. - Aida de Haro-García; Javier Pérez-Rodríguez; Nicolás García-Pedrajas (Modern Advances in Intelligent Systems and Tools, 2012)

A scalable approach to simultaneous evolutionary instance and feature selection. - Nicolás García-Pedrajas; Aida de Haro-García; Javier Pérez-Rodríguez (Inf. Sci., 2013)

Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections. - Nicolás García-Pedrajas; César Ignacio García-Osorio (Prog. Artif. Intell., 2013)

OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets. - Nicolás García-Pedrajas; Javier Pérez-Rodríguez; Aida de Haro-García (IEEE Trans. Cybern., 2013)

An ubiquitous system for advertising using mobile sensors and hand gestures. - Gonzalo Cerruela García; Nicolás García-Pedrajas; Francisco José Bellido Outeiriño; Irene Luque Ruiz; Miguel Ángel Gómez-Nieto (ICCE-Berlin, 2014)

Mobile Solution Using NFC and In-Air Hand Gestures for Advertising Applications. - Francisco Manuel Borrego-Jaraba; Gonzalo Cerruela García; Nicolás García-Pedrajas; Irene Luque Ruiz; Miguel Ángel Gómez-Nieto (ISAmI, 2014)

Improving translation initiation site and stop codon recognition by using more than two classes. - Javier Pérez-Rodríguez; Alexis G. Arroyo-Peña; Nicolás García-Pedrajas (Bioinform., 2014)

A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection. - Nicolás García-Pedrajas; Aida de Haro-García; Javier Pérez-Rodríguez (Evol. Comput., 2014)

Boosting instance selection algorithms. - Nicolás García-Pedrajas; Aida de Haro-García (Knowl. Based Syst., 2014)

Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study. - Javier Pérez-Rodríguez; Alexis G. Arroyo-Peña; Nicolás García-Pedrajas (Appl. Soft Comput., 2015)

Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. - Nele Verbiest; Sarah Vluymans; Chris Cornelis; Nicolás García-Pedrajas; Yvan Saeys (Appl. Soft Comput., 2016)

Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences. - Javier Pérez-Rodríguez; Nicolás García-Pedrajas (BMC Bioinform., 2016)

A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. - Graham McDonald; Nicolás García-Pedrajas; Craig Macdonald; Iadh Ounis (SIGIR, 2017)

A Proposal for Local k Values for k-Nearest Neighbor Rule. - Nicolás García-Pedrajas; Juan Antonio Romero del Castillo; Gonzalo Cerruela García (IEEE Trans. Neural Networks Learn. Syst., 2017)

A general framework for boosting feature subset selection algorithms. - Javier Pérez-Rodríguez; Aida de Haro-García; Juan Antonio Romero del Castillo; Nicolás García-Pedrajas (Inf. Fusion, 2018)

Boosted feature selectors: a case study on prediction P-gp inhibitors and substrates. - Gonzalo Cerruela García; Nicolás García-Pedrajas (J. Comput. Aided Mol. Des., 2018)

Combining three strategies for evolutionary instance selection for instance-based learning. - Aida de Haro-García; Javier Pérez-Rodríguez; Nicolás García-Pedrajas (Swarm Evol. Comput., 2018)

Multilabel and Missing Label Methods for Binary Quantitative Structure-Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions. - José Pérez-Parras Toledano; Nicolás García-Pedrajas; Gonzalo Cerruela García (J. Chem. Inf. Model., 2019)

Improving the combination of results in the ensembles of prototype selectors. - Gonzalo Cerruela García; Aida de Haro-García; José Pérez-Parras Toledano; Nicolás García-Pedrajas (Neural Networks, 2019)

Instance selection based on boosting for instance-based learners. - Aida de Haro-García; Gonzalo Cerruela García; Nicolás García-Pedrajas (Pattern Recognit., 2019)

Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study. - Aida de Haro-García; Gonzalo Cerruela García; Nicolás García-Pedrajas (Inf. Sci., 2020)

Influence of feature rankers in the construction of molecular activity prediction models. - Gonzalo Cerruela García; José Pérez-Parras Toledano; Aida de Haro-García; Nicolás García-Pedrajas (J. Comput. Aided Mol. Des., 2020)

Maximum common property: a new approach for molecular similarity. - Aurelio Antelo-Collado; Ramón Carrasco-Velar; Nicolás García-Pedrajas; Gonzalo Cerruela García (J. Cheminformatics, 2020)

Instance selection for multi-label learning based on a scalable evolutionary algorithm. - Juan Antonio Romero del Castillo; Domingo Ortiz-Boyer; Nicolás García-Pedrajas (ICDM (Workshops), 2021)

Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction. - Aurelio Antelo-Collado; Ramón Carrasco-Velar; Nicolás García-Pedrajas; Gonzalo Cerruela García (J. Chem. Inf. Model., 2021)

Cooperative coevolutionary instance selection for multilabel problems. - Nicolás García-Pedrajas; Gonzalo Cerruela García (Knowl. Based Syst., 2021)

SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features. - Nicolás García-Pedrajas; Juan Antonio Romero del Castillo; Gonzalo Cerruela García (Pattern Recognit., 2021)

Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences. - Javier Pérez-Rodríguez; Aida de Haro-García; Nicolás García-Pedrajas (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Local-based k values for multi-label k-nearest neighbors rule. - Juan Antonio Romero del Castillo; Manuel Mendoza-Hurtado; Domingo Ortiz-Boyer; Nicolás García-Pedrajas (Eng. Appl. Artif. Intell., 2022)

Graph-Based Feature Selection Approach for Molecular Activity Prediction. - Gonzalo Cerruela García; José Manuel Cuevas-Muñoz; Nicolás García-Pedrajas (J. Chem. Inf. Model., 2022)

MABUSE: A margin optimization based feature subset selection algorithm using boosting principles. - Nicolás García-Pedrajas; Gonzalo Cerruela García (Knowl. Based Syst., 2022)

Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors. - Aida de Haro-García; José Pérez-Parras Toledano; Gonzalo Cerruela García; Nicolás García-Pedrajas (IEEE Trans. Cybern., 2022)

Nonlinear physics opens a new paradigm for accurate transcription start site prediction. - José Antonio Barbero-Aparicio; Santiago Cuesta-López; César Ignacio García-Osorio; Javier Pérez-Rodríguez; Nicolás García-Pedrajas (BMC Bioinform., 2022)

PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Juan Antonio Romero del Castillo; Aida de Haro-García (Inf. Fusion, 2023)

Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Aida de Haro-García (Appl. Soft Comput., 2024)

Extensive experimental comparison among multilabel methods focused on ranking performance. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Gonzalo Cerruela García; Aida de Haro-García (Inf. Sci., 2024)

Partial random under/oversampling for multilabel problems. - Nicolás García-Pedrajas (Knowl. Based Syst., 2024)

A thorough experimental comparison of multilabel methods for classification performance. - Nicolás García-Pedrajas; José Manuel Cuevas-Muñoz; Gonzalo Cerruela García; Aida de Haro-García (Pattern Recognit., 2024)

Label repopulation through evolutionary computation for addressing challenging multilabel problems. - Nicolás García-Pedrajas; Juan Antonio Romero del Castillo; Aida de Haro-García (Appl. Soft Comput., 2025)