Nicolás García-Pedrajas

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 28

Top Topics

Nearest Neighbor

Selection Algorithm

Feature Selection

Top Venues

Knowl. Based Syst.

Pattern Recognit.

J. Chem. Inf. Model.

Appl. Soft Comput.

Publications

Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Gonzalo Cerruela García, Aida de Haro-García
Extensive experimental comparison among multilabel methods focused on ranking performance. Inf. Sci. 679 (2024)
Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Gonzalo Cerruela García, Aida de Haro-García
A thorough experimental comparison of multilabel methods for classification performance. Pattern Recognit. 151 (2024)
Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Aida de Haro-García
Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems. Appl. Soft Comput. 159 (2024)
Javier Perez-Soler, Nicolás García-Pedrajas, Andrés Martín Larroza Santacruz, Victor Sevilla Nuñez, Miraç Can Yüksel, Santiago Gálvez-Settier, Juan Carlos Pérez-Cortes
Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches. IECON (2023)
Nicolás García-Pedrajas, José Manuel Cuevas-Muñoz, Juan Antonio Romero del Castillo, Aida de Haro-García
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification. Inf. Fusion 95 (2023)
Nicolás García-Pedrajas, Gonzalo Cerruela García
MABUSE: A margin optimization based feature subset selection algorithm using boosting principles. Knowl. Based Syst. 253 (2022)
José Antonio Barbero-Aparicio, Santiago Cuesta-López, César Ignacio García-Osorio, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Nonlinear physics opens a new paradigm for accurate transcription start site prediction. BMC Bioinform. 23 (1) (2022)
Juan Antonio Romero del Castillo, Manuel Mendoza-Hurtado, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Local-based k values for multi-label k-nearest neighbors rule. Eng. Appl. Artif. Intell. 116 (2022)
Gonzalo Cerruela García, José Manuel Cuevas-Muñoz, Nicolás García-Pedrajas
Graph-Based Feature Selection Approach for Molecular Activity Prediction. J. Chem. Inf. Model. 62 (7) (2022)
Aida de Haro-García, José Pérez-Parras Toledano, Gonzalo Cerruela García, Nicolás García-Pedrajas
Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors. IEEE Trans. Cybern. 52 (5) (2022)
Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García-Pedrajas
Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features. Pattern Recognit. 111 (2021)
Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Instance selection for multi-label learning based on a scalable evolutionary algorithm. ICDM (Workshops) (2021)
Aurelio Antelo-Collado, Ramón Carrasco-Velar, Nicolás García-Pedrajas, Gonzalo Cerruela García
Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction. J. Chem. Inf. Model. 61 (1) (2021)
Nicolás García-Pedrajas, Gonzalo Cerruela García
Cooperative coevolutionary instance selection for multilabel problems. Knowl. Based Syst. 234 (2021)
Gonzalo Cerruela García, José Pérez-Parras Toledano, Aida de Haro-García, Nicolás García-Pedrajas
Influence of feature rankers in the construction of molecular activity prediction models. J. Comput. Aided Mol. Des. 34 (3) (2020)
Aida de Haro-García, Gonzalo Cerruela García, Nicolás García-Pedrajas
Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study. Inf. Sci. 540 (2020)
Aurelio Antelo-Collado, Ramón Carrasco-Velar, Nicolás García-Pedrajas, Gonzalo Cerruela García
Maximum common property: a new approach for molecular similarity. J. Cheminformatics 12 (1) (2020)
Aida de Haro-García, Gonzalo Cerruela García, Nicolás García-Pedrajas
Instance selection based on boosting for instance-based learners. Pattern Recognit. 96 (2019)
José Pérez-Parras Toledano, Nicolás García-Pedrajas, Gonzalo Cerruela García
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. 59 (10) (2019)
Gonzalo Cerruela García, Aida de Haro-García, José Pérez-Parras Toledano, Nicolás García-Pedrajas
Improving the combination of results in the ensembles of prototype selectors. Neural Networks 118 (2019)
Javier Pérez-Rodríguez, Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
A general framework for boosting feature subset selection algorithms. Inf. Fusion 44 (2018)
Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Combining three strategies for evolutionary instance selection for instance-based learning. Swarm Evol. Comput. 42 (2018)
Gonzalo Cerruela García, Nicolás García-Pedrajas
Boosted feature selectors: a case study on prediction P-gp inhibitors and substrates. J. Comput. Aided Mol. Des. 32 (11) (2018)
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Gonzalo Cerruela García
A Proposal for Local k Values for k-Nearest Neighbor Rule. IEEE Trans. Neural Networks Learn. Syst. 28 (2) (2017)
Graham McDonald, Nicolás García-Pedrajas, Craig Macdonald, Iadh Ounis
A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences. SIGIR (2017)
Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences. BMC Bioinform. 17 (2016)
Nele Verbiest, Sarah Vluymans, Chris Cornelis, Nicolás García-Pedrajas, Yvan Saeys
Improving nearest neighbor classification using Ensembles of Evolutionary Generated Prototype Subsets. Appl. Soft Comput. 44 (2016)
Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Nicolás García-Pedrajas
Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study. Appl. Soft Comput. 37 (2015)
Nicolás García-Pedrajas, Aida de Haro-García, Javier Pérez-Rodríguez
A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection. Evol. Comput. 22 (1) (2014)
Gonzalo Cerruela García, Nicolás García-Pedrajas, Francisco José Bellido Outeiriño, Irene Luque Ruiz, Miguel Ángel Gómez-Nieto
An ubiquitous system for advertising using mobile sensors and hand gestures. ICCE-Berlin (2014)
Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Nicolás García-Pedrajas
Improving translation initiation site and stop codon recognition by using more than two classes. Bioinform. 30 (19) (2014)
Nicolás García-Pedrajas, Aida de Haro-García
Boosting instance selection algorithms. Knowl. Based Syst. 67 (2014)
Francisco Manuel Borrego-Jaraba, Gonzalo Cerruela García, Nicolás García-Pedrajas, Irene Luque Ruiz, Miguel Ángel Gómez-Nieto
Mobile Solution Using NFC and In-Air Hand Gestures for Advertising Applications. ISAmI (2014)
Nicolás García-Pedrajas, Javier Pérez-Rodríguez, Aida de Haro-García
OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets. IEEE Trans. Cybern. 43 (1) (2013)
Nicolás García-Pedrajas, César Ignacio García-Osorio
Boosting for class-imbalanced datasets using genetically evolved supervised non-linear projections. Prog. Artif. Intell. 2 (1) (2013)
Nicolás García-Pedrajas, Aida de Haro-García, Javier Pérez-Rodríguez
A scalable approach to simultaneous evolutionary instance and feature selection. Inf. Sci. 228 (2013)
Nicolás García-Pedrajas, Jesús Manuel Maudes Raedo, César Ignacio García-Osorio, Juan José Rodríguez Diez
Supervised subspace projections for constructing ensembles of classifiers. Inf. Sci. 193 (2012)
Nicolás García-Pedrajas, Aida de Haro-García
Scaling up data mining algorithms: review and taxonomy. Prog. Artif. Intell. 1 (1) (2012)
Rafael del Castillo Gomariz, Nicolás García-Pedrajas
Evolutionary response surfaces for classification: an interpretable model. Appl. Intell. 37 (4) (2012)
Aida de Haro-García, Nicolás García-Pedrajas, Juan Antonio Romero del Castillo
Large scale instance selection by means of federal instance selection. Data Knowl. Eng. 75 (2012)
Carlos Pardo-Aguilar, José-Francisco Díez-Pastor, Nicolás García-Pedrajas, Juan José Rodríguez Diez, César Ignacio García-Osorio
Linear Projection Methods - An Experimental Study for Regression Problems. ICPRAM (1) (2012)
Colin Fyfe, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Evolutionary algorithms and cross entropy. Int. J. Knowl. Based Intell. Eng. Syst. 16 (4) (2012)
José Manuel Benítez, Nicolás García-Pedrajas, Francisco Herrera
Special issue on "New Trends in Data Mining" NTDM. Knowl. Based Syst. 25 (1) (2012)
Jesús Maudes, Juan J. Rodríguez Diez, César Ignacio García-Osorio, Nicolás García-Pedrajas
Random feature weights for decision tree ensemble construction. Inf. Fusion 13 (1) (2012)
Nicolás García-Pedrajas, Javier Pérez-Rodríguez
Multi-selection of instances: A straightforward way to improve evolutionary instance selection. Appl. Soft Comput. 12 (11) (2012)
Nicolás García-Pedrajas, Javier Pérez-Rodríguez, María D. García-Pedrajas, Domingo Ortiz-Boyer, Colin Fyfe
Class imbalance methods for translation initiation site recognition in DNA sequences. Knowl. Based Syst. 25 (1) (2012)
Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Nicolás García-Pedrajas
A Comparative Study of Content Statistics of Coding Regions in an Evolutionary Computation Framework for Gene Prediction. IEA/AIE (2012)
Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets. CAEPIA (2011)
Javier Pérez-Rodríguez, Nicolás García-Pedrajas
An Evolutionary Algorithm for Gene Structure Prediction. IEA/AIE (2) (2011)
Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Evolutionary computation, combined with support vector machines, for gene structure prediction. ISDA (2011)
Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García-Pedrajas
Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once. CAEPIA (2011)
Rafael del Castillo Gomariz, Nicolás García-Pedrajas
Translation Initiation Site Recognition by Means of Evolutionary Response Surfaces. IEA/AIE (2) (2011)
Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Feature Selection for Translation Initiation Site Recognition. IEA/AIE (2) (2011)
Nicolás García-Pedrajas, César Ignacio García-Osorio
Constructing ensembles of classifiers using supervised projection methods based on misclassified instances. Expert Syst. Appl. 38 (1) (2011)
Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features CoRR (2011)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer
An empirical study of binary classifier fusion methods for multiclass classification. Inf. Fusion 12 (2) (2011)
Nicolás García-Pedrajas, Francisco Herrera, Colin Fyfe
Special issue on the trends in applied intelligence systems. Appl. Intell. 34 (3) (2011)
Aida de Haro-García, Nicolás García-Pedrajas
A scalable method for instance selection for class-imbalance datasets. ISDA (2011)
Nicolás García-Pedrajas
Evolutionary computation for training set selection. WIREs Data Mining Knowl. Discov. 1 (6) (2011)
Aida de Haro-García, Nicolás García-Pedrajas
Scaling Up Feature Selection by Means of Democratization. IEA/AIE (2) (2010)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer, María D. García-Pedrajas, Colin Fyfe
Class Imbalance Methods for Translation Initiation Site Recognition. IEA/AIE (1) (2010)
Aida de Haro-García, Juan Antonio Romero del Castillo, Nicolás García-Pedrajas
Large Scale Instance Selection by Means of a Parallel Algorithm. IDEAL (2010)
Nicolás García-Pedrajas, Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer
A cooperative coevolutionary algorithm for instance selection for instance-based learning. Mach. Learn. 78 (3) (2010)
César Ignacio García-Osorio, Aida de Haro-García, Nicolás García-Pedrajas
Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts. Artif. Intell. 174 (5-6) (2010)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer
Boosting k-nearest neighbor classifier by means of input space projection. Expert Syst. Appl. 36 (7) (2009)
Nicolás García-Pedrajas
Supervised projection approach for boosting classifiers. Pattern Recognit. 42 (9) (2009)
Aida de Haro-García, Nicolás García-Pedrajas
A divide-and-conquer recursive approach for scaling up instance selection algorithms. Data Min. Knowl. Discov. 18 (3) (2009)
Nicolás García-Pedrajas
Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. IEEE Trans. Neural Networks 20 (2) (2009)
Nicolás García-Pedrajas, Colin Fyfe
Evolving Output Codes for Multiclass Problems. IEEE Trans. Evol. Comput. 12 (1) (2008)
Nicolás García-Pedrajas, Colin Fyfe
Construction of classifier ensembles by means of artificial immune systems. J. Heuristics 14 (3) (2008)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer
Boosting random subspace method. Neural Networks 21 (9) (2008)
Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
Robust confidence intervals applied to crossover operator for real-coded genetic algorithms. Soft Comput. 12 (8) (2008)
César Ignacio García-Osorio, Nicolás García-Pedrajas
Constructing ensembles of classifiers using linear projections based on misclassified instances. ESANN (2008)
César Ignacio García-Osorio, Iñigo Mediavilla-Sáiz, Javier Jimeno-Visitación, Nicolás García-Pedrajas
Teaching push-down automata and turing machines. ITiCSE (2008)
César Ignacio García-Osorio, Carlos Gómez-Palacios, Nicolás García-Pedrajas
A tool for teaching LL and LR parsing algorithms. ITiCSE (2008)
Nicolás García-Pedrajas, César Ignacio García-Osorio, Colin Fyfe
Nonlinear Boosting Projections for Ensemble Construction. J. Mach. Learn. Res. 8 (2007)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer
A cooperative constructive method for neural networks for pattern recognition. Pattern Recognit. 40 (1) (2007)
Nicolás García-Pedrajas, Colin Fyfe
Immune network based ensembles. Neurocomputing 70 (7-9) (2007)
Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
Improving crossover operator for real-coded genetic algorithms using virtual parents. J. Heuristics 13 (3) (2007)
Nicolás García-Pedrajas, Colin Fyfe
Immune Network based Ensembles. ESANN (2006)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer
Improving Multiclass Pattern Recognition by the Combination of Two Strategies. IEEE Trans. Pattern Anal. Mach. Intell. 28 (6) (2006)
Alfonso C. Martínez-Estudillo, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Nicolás García-Pedrajas
Hybridization of evolutionary algorithms and local search by means of a clustering method. IEEE Trans. Syst. Man Cybern. Part B 36 (3) (2006)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization. Neural Networks 19 (4) (2006)
Rafael del Castillo Gomariz, Nicolás García-Pedrajas
Classification by means of Evolutionary Response Surfaces. ESANN (2006)
Alfonso C. Martínez-Estudillo, Francisco J. Martínez-Estudillo, César Hervás-Martínez, Nicolás García-Pedrajas
Evolutionary product unit based neural networks for regression. Neural Networks 19 (4) (2006)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, César Hervás-Martínez
Cascade Ensembles. IWANN (2005)
Nicolás García-Pedrajas, César Hervás-Martínez, Domingo Ortiz-Boyer
Cooperative coevolution of artificial neural network ensembles for pattern classification. IEEE Trans. Evol. Comput. 9 (3) (2005)
Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. J. Artif. Intell. Res. 24 (2005)
Domingo Ortiz-Boyer, Rafael del Castillo Gomariz, Nicolás García-Pedrajas, César Hervás-Martínez
Crossover effect over penalty methods in function optimization with constraints. Congress on Evolutionary Computation (2005)
Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
Cooperative coevolution of generalized multi-layer perceptrons. Neurocomputing 56 (2004)
Eloy Sanz-Tapia, Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez
Node Level Crossover Applied to Neural Network Evolution. IWANN (1) (2003)
Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
COVNET: a cooperative coevolutionary model for evolving artificial neural networks. IEEE Trans. Neural Networks 14 (3) (2003)
César Hervás-Martínez, Domingo Ortiz-Boyer, Nicolás García-Pedrajas
Theoretical Analysis of the Confidence Interval Based Crossover for Real-Coded Genetic Algorithms. PPSN (2002)
Domingo Ortiz-Boyer, César Hervás-Martínez, Nicolás García-Pedrajas
Crossover Operator Effect in Function Optimization with Constraints. PPSN (2002)
Nicolás García-Pedrajas, César Hervás-Martínez, José Muñoz-Pérez
Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). Neural Networks 15 (10) (2002)
Nicolás García-Pedrajas, Eloy Sanz-Tapia, Domingo Ortiz-Boyer, César Hervás-Martínez
Introducing Multi-objective Optimization in Cooperative Coevolution of Neural Networks. IWANN (1) (2001)
César Hervás-Martínez, E. J. Romero Soto, Nicolás García-Pedrajas, Rafael Medina Carnicer
Comparison Between Artificial Neural Networks and Classical Statsitical Methods in Pattern Recognition. IPMU (1992)