Javier Pérez-Rodríguez

34 papers A 2C 3Misc 2Journal 19Unranked 6

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`	Global and Diverse Ensemble model for regression. Neurocomputing Antonio Manuel Durán-Rosal, Thomas Ian Ashley, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
2024	—	`—`	Thermal-aware schedulability analysis for modern real-time computing systems Javier Pérez-Rodríguez
2023	Misc	`conf`	B-TSP: An Advanced Power Safe Management Strategy for modern Multi-core Platforms under Thermal-Aware Design. RTNS Javier Pérez-Rodríguez, Patrick Meumeu Yomsi, Yilian Ribot González, Luis Javier Puente Lam
2023	J	`jnl`	Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework. Expert Syst. Appl. Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Thomas Ian Ashley
2023	C	`conf`	Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs. ISORC Ondrej Benedikt, Javier Pérez-Rodríguez, Patrick Meumeu Yomsi, Michal Sojka
2022	—	`conf`	A Thermal-Aware Approach for DVFS-enabled Multi-core Architectures. HPCC/DSS/SmartCity/DependSys Javier Pérez-Rodríguez, Patrick Meumeu Yomsi, Pavel Zaykov
2022	J	`jnl`	Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. IEEE Trans. Neural Networks Learn. Syst. Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez
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	Misc	`conf`	An Efficient Proactive Thermal-Aware Scheduler for DVFS-enabled Single-Core Processors. RTNS Javier Pérez-Rodríguez, Patrick Meumeu Yomsi
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	J	`jnl`	Negative Correlation Hidden Layer for the Extreme Learning Machine. Appl. Soft Comput. Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz
2020	J	`jnl`	Negative correlation learning in the extreme learning machine framework. Neural Comput. Appl. Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, David Becerra-Alonso, Francisco Fernández-Navarro
2020	A	`conf`	Work-in-Progress: Towards a fine-grain thermal model for uniform multi-core processors. RTSS Javier Pérez-Rodríguez, Patrick Meumeu Yomsi
2019	J	`jnl`	Regularized ensemble neural networks models in the Extreme Learning Machine framework. Neurocomputing Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
2019	A	`conf`	Thermal-Aware Schedulability Analysis for Fixed-Priority Non-preemptive Real-Time Systems. RTSS Javier Pérez-Rodríguez, Patrick Meumeu Yomsi
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`	Combining three strategies for evolutionary instance selection for instance-based learning. Swarm Evol. Comput. Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
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	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
2013	—	`conf`	A multiobjective approach for gene structure prediction. IWBBIO Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Javier Martinez Luna
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`	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`	Multi-selection of instances: A straightforward way to improve evolutionary instance selection. Appl. Soft Comput. Nicolás García-Pedrajas, Javier Pérez-Rodríguez
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	—	`conf`	An Evolutionary Algorithm for Gene Structure Prediction. IEA/AIE (2) Javier Pérez-Rodríguez, 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