Nicolás García-Pedrajas

105 papers A* 1A 2B 6C 5Misc 1Journal 72Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	False flag: An evolutionary false labeling approach for multilabel classification. Appl. Soft Comput. Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Manuel Mendoza-Hurtado, Javier Pérez-Rodríguez, Aida de Haro-García
2025	J	`jnl`	Label repopulation through evolutionary computation for addressing challenging multilabel problems. Appl. Soft Comput. Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Aida de Haro-García
2024	J	`jnl`	A thorough experimental comparison of multilabel methods for classification performance. Pattern Recognit. Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Gonzalo Cerruela García, Aida de Haro-García
2024	J	`jnl`	Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems. Appl. Soft Comput. Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Aida de Haro-García
2024	J	`jnl`	Extensive experimental comparison among multilabel methods focused on ranking performance. Inf. Sci. Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Gonzalo Cerruela García, Aida de Haro-García
2024	J	`jnl`	Partial random under/oversampling for multilabel problems. Knowl. Based Syst. Nicolás García-Pedrajas
2023	J	`jnl`	PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification. Inf. Fusion Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Juan Antonio Romero del Castillo, Aida de Haro-García
2022	J	`jnl`	Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors. IEEE Trans. Cybern. Aida de Haro-García, José Pérez-Parras Toledano, Gonzalo Cerruela García, Nicolás García-Pedrajas
2022	J	`jnl`	Graph-Based Feature Selection Approach for Molecular Activity Prediction. J. Chem. Inf. Model. Gonzalo Cerruela García, José Manuel Cuevas-Muñoz, Nicolás García-Pedrajas
2022	J	`jnl`	Local-based k values for multi-label k-nearest neighbors rule. Eng. Appl. Artif. Intell. Juan Antonio Romero del Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2022	J	`jnl`	MABUSE: A margin optimization based feature subset selection algorithm using boosting principles. Knowl. Based Syst. Nicolás García-Pedrajas, Gonzalo Cerruela García
2022	J	`jnl`	Nonlinear physics opens a new paradigm for accurate transcription start site prediction. BMC Bioinform. José Antonio Barbero-Aparicio, Santiago Cuesta-López, César Ignacio García-Osorio, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2021	J	`jnl`	Cooperative coevolutionary instance selection for multilabel problems. Knowl. Based Syst. Nicolás García-Pedrajas, Gonzalo Cerruela García
2021	J	`jnl`	Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction. J. Chem. Inf. Model. Aurelio Antelo-Collado, Ramón Carrasco-Velar, Nicolás García-Pedrajas, Gonzalo Cerruela García
2021	J	`jnl`	Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García-Pedrajas
2021	—	`conf`	Instance selection for multi-label learning based on a scalable evolutionary algorithm. ICDM (Workshops) Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2021	J	`jnl`	SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features. Pattern Recognit. Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
2020	J	`jnl`	Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study. Inf. Sci. Aida de Haro-García, Gonzalo Cerruela García, Nicolás García-Pedrajas
2020	J	`jnl`	Influence of feature rankers in the construction of molecular activity prediction models. J. Comput. Aided Mol. Des. Gonzalo Cerruela García, José Pérez-Parras Toledano, Aida de Haro-García, Nicolás García-Pedrajas
2020	J	`jnl`	Maximum common property: a new approach for molecular similarity. J. Cheminformatics Aurelio Antelo-Collado, Ramón Carrasco-Velar, Nicolás García-Pedrajas, Gonzalo Cerruela García
2019	J	`jnl`	Improving the combination of results in the ensembles of prototype selectors. Neural Networks Gonzalo Cerruela García, Aida de Haro-García, José Pérez-Parras Toledano, Nicolás García-Pedrajas
2019	J	`jnl`	Instance selection based on boosting for instance-based learners. Pattern Recognit. Aida de Haro-García, Gonzalo Cerruela García, Nicolás García-Pedrajas
2019	J	`jnl`	Multilabel and Missing Label Methods for Binary Quantitative Structure-Activity Relationship Models: An Application for the Prediction of Adverse Drug Reactions. J. Chem. Inf. Model. José Pérez-Parras Toledano, Nicolás García-Pedrajas, Gonzalo Cerruela García
2018	J	`jnl`	A general framework for boosting feature subset selection algorithms. Inf. Fusion Javier Pérez-Rodríguez, Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
2018	J	`jnl`	Boosted feature selectors: a case study on prediction P-gp inhibitors and substrates. J. Comput. Aided Mol. Des. Gonzalo Cerruela García, Nicolás García-Pedrajas
2018	J	`jnl`	Combining three strategies for evolutionary instance selection for instance-based learning. Swarm Evol. Comput. Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2017	J	`jnl`	A Proposal for Local k Values for k-Nearest Neighbor Rule. IEEE Trans. Neural Networks Learn. Syst. Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
2017	A*	`conf`	A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. SIGIR Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald, Iadh Ounis
2016	J	`jnl`	Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. Appl. Soft Comput. Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys
2016	J	`jnl`	Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences. BMC Bioinform. Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2015	J	`jnl`	Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study. Appl. Soft Comput. Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Nicolás García-Pedrajas
2014	J	`jnl`	A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection. Evol. Comput. Nicolás García-Pedrajas, Aida de Haro-García, Javier Pérez-Rodríguez
2014	—	`conf`	An ubiquitous system for advertising using mobile sensors and hand gestures. ICCE-Berlin Gonzalo Cerruela García, Nicolás García-Pedrajas, Francisco José Bellido Outeiriño, Irene Luque Ruiz, Miguel Ángel Gómez-Nieto
2014	J	`jnl`	Boosting instance selection algorithms. Knowl. Based Syst. Nicolás García-Pedrajas, Aida de Haro-García
2014	J	`jnl`	Improving translation initiation site and stop codon recognition by using more than two classes. Bioinform. Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Nicolás García-Pedrajas
2014	—	`conf`	Mobile Solution Using NFC and In-Air Hand Gestures for Advertising Applications. ISAmI Francisco Manuel Borrego-Jaraba, Gonzalo Cerruela García, Nicolás García-Pedrajas, Irene Luque Ruiz, Miguel Ángel Gómez-Nieto
2013	J	`jnl`	A scalable approach to simultaneous evolutionary instance and feature selection. Inf. Sci. Nicolás García-Pedrajas, Aida de Haro-García, Javier Pérez-Rodríguez
2013	J	`jnl`	Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections. Prog. Artif. Intell. Nicolás García-Pedrajas, César Ignacio García-Osorio
2013	J	`jnl`	OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets. IEEE Trans. Cybern. Nicolás García-Pedrajas, Javier Pérez-Rodríguez, Aida de Haro-García
2012	C	`conf`	A Comparative Study of Content Statistics of Coding Regions in an Evolutionary Computation Framework for Gene Prediction. IEA/AIE Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Nicolás García-Pedrajas
2012	—	`ch.`	A Scalable Feature Selection Method to Improve the Analysis of Microarrays. Modern Advances in Intelligent Systems and Tools Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2012	J	`jnl`	Class imbalance methods for translation initiation site recognition in DNA sequences. Knowl. Based Syst. Nicolás García-Pedrajas, Javier Pérez-Rodríguez, María D. García-Pedrajas, Domingo Ortiz-Boyer, Colin Fyfe
2012	J	`jnl`	Evolutionary algorithms and cross entropy. Int. J. Knowl. Based Intell. Eng. Syst. Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2012	J	`jnl`	Evolutionary response surfaces for classification: an interpretable model. Appl. Intell. Rafael del Castillo Gomariz, Nicolás García-Pedrajas
2012	J	`jnl`	Large scale instance selection by means of federal instance selection. Data Knowl. Eng. Aida de Haro-García, Nicolás García-Pedrajas, Juan Antonio Romero del Castillo
2012	—	`conf`	Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio
2012	J	`jnl`	Multi-selection of instances: A straightforward way to improve evolutionary instance selection. Appl. Soft Comput. Nicolás García-Pedrajas, Javier Pérez-Rodríguez
2012	J	`jnl`	Random feature weights for decision tree ensemble construction. Inf. Fusion Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Nicolás García-Pedrajas
2012	J	`jnl`	Scaling up data mining algorithms: review and taxonomy. Prog. Artif. Intell. Nicolás García-Pedrajas, Aida de Haro-García
2012	J	`jnl`	Special issue on "New Trends in Data Mining" NTDM. Knowl. Based Syst. José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera
2012	J	`jnl`	Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez
2011	—	`conf`	A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets. CAEPIA Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2011	C	`conf`	A scalable method for instance selection for class-imbalance datasets. ISDA Aida de Haro-García, Nicolás García-Pedrajas
2011	—	`conf`	An Evolutionary Algorithm for Gene Structure Prediction. IEA/AIE (2) Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2011	J	`jnl`	An empirical study of binary classifier fusion methods for multiclass classification. Inf. Fusion Nicolás García-Pedrajas, Domingo Ortiz-Boyer
2011	J	`jnl`	CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features CoRR Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
2011	J	`jnl`	Constructing ensembles of classifiers using supervised projection methods based on misclassified instances. Expert Syst. Appl. Nicolás García-Pedrajas, César Ignacio García-Osorio
2011	J	`jnl`	Evolutionary computation for training set selection. WIREs Data Mining Knowl. Discov. Nicolás García-Pedrajas
2011	C	`conf`	Evolutionary computation, combined with support vector machines, for gene structure prediction. ISDA Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2011	—	`conf`	Feature Selection for Translation Initiation Site Recognition. IEA/AIE (2) Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
2011	—	`conf`	Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once. CAEPIA Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García-Pedrajas
2011	J	`jnl`	Special issue on the trends in applied intelligence systems. Appl. Intell. Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe
2011	—	`conf`	Translation Initiation Site Recognition by Means of Evolutionary Response Surfaces. IEA/AIE (2) Rafael del Castillo Gomariz, Nicolás García-Pedrajas
2010	J	`jnl`	A cooperative coevolutionary algorithm for instance selection for instance-based learning. Mach. Learn. Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer
2010	—	`conf`	Class Imbalance Methods for Translation Initiation Site Recognition. IEA/AIE (1) Nicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe
2010	J	`jnl`	Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts. Artif. Intell. César Ignacio García-Osorio, Aida de Haro-García, Nicolás García-Pedrajas
2010	C	`conf`	Large Scale Instance Selection by Means of a Parallel Algorithm. IDEAL Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
2010	—	`conf`	Scaling Up Feature Selection by Means of Democratization. IEA/AIE (2) Aida de Haro-García, Nicolás García-Pedrajas
2010	—	`ed.`	Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part I IEA/AIE (1) Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2010	—	`ed.`	Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part II IEA/AIE (2) Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2010	—	`ed.`	Trends in Applied Intelligent Systems - 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III IEA/AIE (3) Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe, José Manuel Benítez, Moonis Ali
2009	J	`jnl`	A divide-and-conquer recursive approach for scaling up instance selection algorithms. Data Min. Knowl. Discov. Aida de Haro-García, Nicolás García-Pedrajas
2009	J	`jnl`	Boosting k-nearest neighbor classifier by means of input space projection. Expert Syst. Appl. Nicolás García-Pedrajas, Domingo Ortiz-Boyer
2009	J	`jnl`	Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. IEEE Trans. Neural Networks Nicolás García-Pedrajas
2009	J	`jnl`	Supervised projection approach for boosting classifiers. Pattern Recognit. Nicolás García-Pedrajas
2008	B	`conf`	A tool for teaching LL and LR parsing algorithms. ITiCSE César Ignacio García-Osorio, Carlos Gómez-Palacios, Nicolás García-Pedrajas
2008	J	`jnl`	Boosting random subspace method. Neural Networks Nicolás García-Pedrajas, Domingo Ortiz-Boyer
2008	B	`conf`	Constructing ensembles of classifiers using linear projections based on misclassified instances. ESANN César Ignacio García-Osorio, Nicolás García-Pedrajas
2008	J	`jnl`	Construction of classifier ensembles by means of artificial immune systems. J. Heuristics Nicolás García-Pedrajas, Colin Fyfe
2008	J	`jnl`	Evolving Output Codes for Multiclass Problems. IEEE Trans. Evol. Comput. Nicolás García-Pedrajas, Colin Fyfe
2008	J	`jnl`	Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Comput. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2008	B	`conf`	Teaching push-down automata and turing machines. ITiCSE César Ignacio García-Osorio, Iñigo Mediavilla-Sáiz, Javier Jimeno-Visitación, Nicolás García-Pedrajas
2007	J	`jnl`	A cooperative constructive method for neural networks for pattern recognition. Pattern Recognit. Nicolás García-Pedrajas, Domingo Ortiz-Boyer
2007	J	`jnl`	Immune network based ensembles. Neurocomputing Nicolás García-Pedrajas, Colin Fyfe
2007	J	`jnl`	Improving crossover operator for real-coded genetic algorithms using virtual parents. J. Heuristics Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2007	J	`jnl`	Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe
2006	J	`jnl`	An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Networks Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
2006	B	`conf`	Classification by means of Evolutionary Response Surfaces. ESANN Rafael del Castillo Gomariz, Nicolás García-Pedrajas
2006	—	`ch.`	Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks. Multi-Objective Machine Learning Nicolás García-Pedrajas
2006	J	`jnl`	Evolutionary product unit based neural networks for regression. Neural Networks Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas
2006	J	`jnl`	Hybridization of evolutionary algorithms and local search by means of a clustering method. IEEE Trans. Syst. Man Cybern. Part B Alfonso C. Martínez-Estudillo, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Nicolás García-Pedrajas
2006	B	`conf`	Immune Network based Ensembles. ESANN Nicolás García-Pedrajas, Colin Fyfe
2006	J	`jnl`	Improving Multiclass Pattern Recognition by the Combination of Two Strategies. IEEE Trans. Pattern Anal. Mach. Intell. Nicolás García-Pedrajas, Domingo Ortiz-Boyer
2005	J	`jnl`	CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. J. Artif. Intell. Res. Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2005	Misc	`conf`	Cascade Ensembles. IWANN Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez
2005	J	`jnl`	Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evol. Comput. Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
2005	B	`conf`	Crossover effect over penalty methods in function optimization with constraints. Congress on Evolutionary Computation Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez
2004	J	`jnl`	Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
2003	J	`jnl`	COVNET: a cooperative coevolutionary model for evolving artificial neural networks. IEEE Trans. Neural Networks Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
2003	—	`conf`	Node Level Crossover Applied to Neural Network Evolution. IWANN (1) Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
2002	A	`conf`	Crossover Operator Effect in Function Optimization with Constraints. PPSN Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
2002	J	`jnl`	Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
2002	A	`conf`	Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. PPSN César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
2001	—	`conf`	Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. IWANN (1) Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez
1992	C	`conf`	Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. IPMU César Hervás-Martínez, E. J. Romero Soto, Nicolás García-Pedrajas, Rafael Medina Carnicer