Javier Pérez-Rodríguez

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 17

Top Topics

Extreme Learning Machine

Negative Correlation

Feature Selection

Top Venues

Appl. Soft Comput.

Publications

Ondrej Benedikt, Javier Pérez-Rodríguez, Patrick Meumeu Yomsi, Michal Sojka
Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs. ISORC (2023)
Javier Pérez-Rodríguez, Francisco Fernández-Navarro, Thomas Ashley
Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework. Expert Syst. Appl. 229 (Part A) (2023)
Javier Pérez-Rodríguez, Patrick Meumeu Yomsi, Yilian Ribot González, Luis Javier Pente Lam
B-TSP: An Advanced Power Safe Management Strategy for modern Multi-core Platforms under Thermal-Aware Design. RTNS (2023)
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)
Javier Pérez-Rodríguez, Patrick Meumeu Yomsi, Pavel Zaykov
A Thermal-Aware Approach for DVFS-enabled Multi-core Architectures. HPCC/DSS/SmartCity/DependSys (2022)
Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (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)
Carlos Perales-González, Francisco Fernández-Navarro, Javier Pérez-Rodríguez, Mariano Carbonero-Ruz
Negative Correlation Hidden Layer for the Extreme Learning Machine. Appl. Soft Comput. 109 (2021)
Javier Pérez-Rodríguez, Patrick Meumeu Yomsi
An Efficient Proactive Thermal-Aware Scheduler for DVFS-enabled Single-Core Processors. RTNS (2021)
Javier Pérez-Rodríguez, Patrick Meumeu Yomsi
Work-in-Progress: Towards a fine-grain thermal model for uniform multi-core processors. RTSS (2020)
Carlos Perales-González, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez, David Becerra-Alonso, Francisco Fernández-Navarro
Negative correlation learning in the extreme learning machine framework. Neural Comput. Appl. 32 (17) (2020)
Carlos Perales-González, Mariano Carbonero-Ruz, David Becerra-Alonso, Javier Pérez-Rodríguez, Francisco Fernández-Navarro
Regularized ensemble neural networks models in the Extreme Learning Machine framework. Neurocomputing 361 (2019)
Javier Pérez-Rodríguez, Patrick Meumeu Yomsi
Thermal-Aware Schedulability Analysis for Fixed-Priority Non-preemptive Real-Time Systems. RTSS (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)
Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences. BMC Bioinform. 17 (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)
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, Javier Pérez-Rodríguez, Aida de Haro-García
OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets. IEEE Trans. Cybern. 43 (1) (2013)
Javier Pérez-Rodríguez, Alexis G. Arroyo-Peña, Javier Martinez Luna
A multiobjective approach for gene structure prediction. IWBBIO (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, 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)
Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
Feature Selection for Translation Initiation Site Recognition. IEA/AIE (2) (2011)