FORMACIÓN
- Doctor en Tecnologías de la Información y la Comunicación Universidad de Granada
- Máster Universitario en Soft Computing y Sistemas Inteligentes Universidad de Granada
- Ingeniero en Informática Universidad de Córdoba
EXPERIENCIA DOCENTE
El profesor/a ha impartido las siguientes asignaturas en los últimos años:
- Fundamentos de Estadística Empresarial
- Programación para el Análisis de Datos I: Algoritmos y Scripts
- Programación para el Análisis de Datos II: Herramientas, Entornos y Lenguajes
- Sistemas Inteligentes
- Taller de aplicación de Técnicas Cualitativas y Cuantitativas
- Técnicas de Análisis Cuantitativo II
- Técnicas de machine learning
ACTIVIDAD INVESTIGADORA
Publicaciones
Artículos
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Estimating ensemble weights for bagging regressors based on the mean-variance portfolio framework
PÉREZ RODRÍGUEZ, JAVIER, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, ASHLEY, THOMAS IAN , 2023, Expert Syst. Appl.
10.1016/j.eswa.2023.120462 -
Boosting ridge for the extreme learning machine globally optimised for classification and regression problems
Peralez-González C. , PÉREZ RODRÍGUEZ, JAVIER, DURAN ROSAL, ANTONIO MANUEL , 2023, Sci Rep
10.1038/s41598-023-38948-3 -
Nonlinear physics opens a new paradigm for accurate transcription start site prediction
Barbero-Aparicio J.A. , Cuesta-Lopez S. , García-Osorio C.I. , PÉREZ RODRÍGUEZ, JAVIER, García-Pedrajas N. , 2022, BMC Bioinformatics
10.1186/s12859-022-05129-4 -
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models.
PERALES GONZÁLEZ, CARLOS, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, CARBONERO RUZ, MARIANO, PÉREZ RODRÍGUEZ, JAVIER , 2021, IEEE Trans. Neural Netw. Learn. Syst.
10.1109/TNNLS.2021.3055734 -
Negative Correlation Hidden Layer for the Extreme Learning Machine
PERALES GONZÁLEZ, CARLOS, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS, PÉREZ RODRÍGUEZ, JAVIER, CARBONERO RUZ, MARIANO , 2021, Appl. Soft Comput.
10.1016/j.asoc.2021.107482 -
Negative correlation learning in the extreme learning machine framework
PERALES GONZÁLEZ, CARLOS, CARBONERO RUZ, MARIANO, PÉREZ RODRÍGUEZ, JAVIER, BECERRA ALONSO, DAVID, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2020, Neural Comput. Appl.
10.1007/s00521-020-04788-9 -
Floating search methodology for combining classification models for site recognition in DNA sequences
PÉREZ RODRÍGUEZ, JAVIER, de Haro García, Aida , García Pedrajas, Nicolás , 2020, IEEE/ACM Trans. Comput. BioL. Bioinf.
10.1109/TCBB.2020.2974221 -
Regularized ensemble neural networks models in the Extreme Learning Machine framework
PERALES GONZÁLEZ, CARLOS, CARBONERO RUZ, MARIANO, BECERRA ALONSO, DAVID, PÉREZ RODRÍGUEZ, JAVIER, FERNÁNDEZ NAVARRO, FRANCISCO DE ASÍS , 2019, Neurocomputing
10.1016/j.neucom.2019.06.040 -
A general framework for boosting feature subset selection algorithms
PÉREZ RODRÍGUEZ, JAVIER, de Haro-Garcia, Aida , Romero del Castillo, Juan A. , Garcia-Pedrajas, Nicolas , 2018, Inf. Fusion
10.1016/j.inffus.2018.03.003 -
Combining three strategies for evolutionary instance selection for instance-based learning
de Haro-Garcia, Aida , PÉREZ RODRÍGUEZ, JAVIER, Garcia-Pedrajas, Nicolas , 2018, Swarm Evol. Comput.
10.1016/j.swevo.2018.02.022 -
Stepwise approach for combining many sources of evidence for site-recognition in genomic sequences
PÉREZ RODRÍGUEZ, JAVIER, Garcia-Pedrajas, Nicolas , 2016, BMC Bioinformatics
10.1186/s12859-016-0968-y -
Simultaneous instance and feature selection and weighting using evolutionary computation: Proposal and study
PÉREZ RODRÍGUEZ, JAVIER, German Arroyo-Pena, Alexis , Garcia-Pedrajas, Nicolas , 2015, Appl. Soft Comput.
10.1016/j.asoc.2015.07.046 -
Improving translation initiation site and stop codon recognition by using more than two classes
PÉREZ RODRÍGUEZ, JAVIER, Arroyo-Pena, Alexis G. , Garcia-Pedrajas, Nicolas , 2014, Bioinformatics
10.1093/bioinformatics/btu369 -
A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection
Garcia-Pedrajas, Nicolas , de Haro-Garcia, Aida , PÉREZ RODRÍGUEZ, JAVIER , 2014, Evol. Comput.
10.1162/EVCO_a_00102 -
A scalable approach to simultaneous evolutionary instance and feature selection
Garcia-Pedrajas, Nicolas , de Haro-Garcia, Aida , PÉREZ RODRÍGUEZ, JAVIER , 2013, Inf Sci
10.1016/j.ins.2012.10.006 -
OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets
Garcia-Pedrajas, Nicolas , PÉREZ RODRÍGUEZ, JAVIER, de Haro-Garcia, Aida , 2013, IEEE T. Cybern.
10.1109/TSMCB.2012.2206381 -
Multi-selection of instances: A straightforward way to improve evolutionary instance selection
Garcia-Pedrajas, Nicolas , PÉREZ RODRÍGUEZ, JAVIER , 2012, Appl. Soft Comput.
10.1016/j.asoc.2012.06.013 -
Class imbalance methods for translation initiation site recognition in DNA sequences
Garcia-Pedrajas, Nicolas , PÉREZ RODRÍGUEZ, JAVIER, Garcia-Pedrajas, Maria , Ortiz-Boyer, Domingo , Fyfe, Colin , 2012, Knowl Based Syst
10.1016/j.knosys.2011.05.002
Congresos
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El desarrollo de la Personal Learning Network a través del Aprendizaje Basado en Proyectos
Ponencia del Congreso - Congreso internacional de innovación docente, educación y transferencia del conocimiento
2022
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A Scalable Feature Selection Method to Improve the Analysis of Microarrays
Proceedings Paper - 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems
2012
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A comparative study of content statistics of coding regions in an evolutionary computation framework for gene prediction
Proceedings Paper - 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems
2012
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Evolutionary computation, combined with support vector machines, for gene structure prediction
Proceedings Paper - 2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11
2011
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Feature Selection for Translation Initiation Site Recognition
Proceedings Paper - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
2011
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An Evolutionary Algorithm for Gene Structure Prediction
Proceedings Paper - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems
2011
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Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once
Proceedings Paper - 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011)
2011
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A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets
Proceedings Paper - 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011)
2011
Proyectos
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Estudio, inventario y caracterización de diseñadores de moda en Andalucía
EQUIPO INVESTIGADOR, 2023 - 2023