Javier Pérez-Rodríguez
Orcid: 0000-0002-0437-3264
According to our database1,
Javier Pérez-Rodríguez
authored at least 31 papers
between 2011 and 2023.
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Bibliography
2023
Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework.
Expert Syst. Appl., November, 2023
B-TSP: An Advanced Power Safe Management Strategy for modern Multi-core Platforms under Thermal-Aware Design.
Proceedings of the 31st International Conference on Real-Time Networks and Systems, 2023
Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing, 2023
2022
Nonlinear physics opens a new paradigm for accurate transcription start site prediction.
BMC Bioinform., December, 2022
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.
IEEE Trans. Neural Networks Learn. Syst., 2022
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022
2021
Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Appl. Soft Comput., 2021
An Efficient Proactive Thermal-Aware Scheduler for DVFS-enabled Single-Core Processors.
Proceedings of the RTNS'2021: 29th International Conference on Real-Time Networks and Systems, 2021
2020
Neural Comput. Appl., 2020
Work-in-Progress: Towards a fine-grain thermal model for uniform multi-core processors.
Proceedings of the 41st IEEE Real-Time Systems Symposium, 2020
2019
Regularized ensemble neural networks models in the Extreme Learning Machine framework.
Neurocomputing, 2019
Thermal-Aware Schedulability Analysis for Fixed-Priority Non-preemptive Real-Time Systems.
Proceedings of the IEEE Real-Time Systems Symposium, 2019
2018
Combining three strategies for evolutionary instance selection for instance-based learning.
Swarm Evol. Comput., 2018
Inf. Fusion, 2018
2016
Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences.
BMC Bioinform., 2016
2015
Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study.
Appl. Soft Comput., 2015
2014
Evol. Comput., 2014
Improving translation initiation site and stop codon recognition by using more than two classes.
Bioinform., 2014
2013
IEEE Trans. Cybern., 2013
Inf. Sci., 2013
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
2012
Proceedings of the Modern Advances in Intelligent Systems and Tools, 2012
Class imbalance methods for translation initiation site recognition in DNA sequences.
Knowl. Based Syst., 2012
Multi-selection of instances: A straightforward way to improve evolutionary instance selection.
Appl. Soft Comput., 2012
A Comparative Study of Content Statistics of Coding Regions in an Evolutionary Computation Framework for Gene Prediction.
Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012
2011
Evolutionary computation, combined with support vector machines, for gene structure prediction.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Proceedings of the Modern Approaches in Applied Intelligence, 2011
Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once.
Proceedings of the Advances in Artificial Intelligence, 2011
Proceedings of the Advances in Artificial Intelligence, 2011