Raúl Pérez

57 papers A* 1B 10C 4Journal 32Unranked 10
YearRankTypeTitle / Venue / Authors
2024 J jnl
Learning to Select Goals in Automated Planning with Deep-Q Learning.
CoRR
Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez
2024 J jnl
QChi: A Faster Classification Algorithm Based on Wang-Mendel Algorithm.
IEEE Trans. Fuzzy Syst.
Leonardo Jara, Antonio González, Raúl Pérez
2023 J jnl
Discovering and Explaining Driver Behaviour under HoS Regulations.
CoRR
Ignacio Vellido, Juan Fdez-Olivares, Raúl Pérez
2022 B conf
A new multi-rules approach to improve the performance of the Chi fuzzy rule classification algorithm.
FUZZ-IEEE
Leonardo Jara, Antonio González, Raúl Pérez
2022 C conf
Analyzing Driver Behavior Compliance under HoS Regulations.
VEHITS
Ignacio Vellido-Expósito, Juan Fernández-Olivares, Raúl Pérez, Luis A. Castillo
2022 J jnl
Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning.
Inf. Sci.
Juan Carlos Gámez-Granados, Javier Irurita, Raúl Pérez, Antonio González Muñoz, Sergio Damas, Inmaculada Alemán, Oscar Cordón
2022 J jnl
Efficient inference models for classification problems with a high number of fuzzy rules.
Appl. Soft Comput.
Leonardo Jara, Rubén Ariza-Valderrama, Juan Fernández-Olivares, Antonio González, Raúl Pérez
2022 J jnl
Learning to select goals in Automated Planning with Deep-Q Learning.
Expert Syst. Appl.
Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez
2021 — conf
A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent.
CAEPIA
Carlos Núñez-Molina, Ignacio Vellido-Expósito, Vladislav Nikolov-Vasilev, Raúl Pérez, Juan Fdez-Olivares
2021 J jnl
Discovering relational and numerical expressions from plan traces for learning action models.
Appl. Intell.
José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares
2021 J jnl
Learning Numerical Action Models from Noisy Input Data.
CoRR
José Á. Segura-Muros, Juan Fernández-Olivares, Raúl Pérez
2020 B conf
A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization.
FUZZ-IEEE
Leonardo Jara, Antonio González, Raúl Pérez
2020 A* conf
Driver Activity Recognition by Means of Temporal HTN Planning.
ICAPS
Juan Fernández-Olivares, Raúl Pérez
2019 B conf
A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL.
FUZZ-IEEE
Juan Carlos Gámez-Granados, José Manuel Soto-Hidalgo, Giovanni Acampora, Antonio González Muñoz, Raúl Pérez
2019 J jnl
An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models.
Cogn. Comput.
Antonio González, Raúl Pérez, Rocío Romero-Záliz
2019 J jnl
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm.
Appl. Soft Comput.
Juan Carlos Gámez, David García, Antonio González, Raúl Pérez
2019 C conf
Reasoning Methods in Fuzzy Rule-based Classification Systems for Big Data Problems.
IoTBDS
Antonio González, Raúl Pérez, Rocío Romero-Záliz
2018 — conf
Learning Planning Action Models with Numerical Information and Logic Relationships Using Classification Techniques.
CAEPIA
José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares
2018 — conf
Using Inductive Rule Learning Techniques to Learn Planning Domains.
IPMU (3)
José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares
2017 B conf
Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets.
FUZZ-IEEE
Rocío Romero-Záliz, Antonio González Muñoz, Raúl Pérez
2016 B conf
Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems.
FUZZ-IEEE
Nikolaos L. Tsakiridis, John B. Theocharis, Raúl Pérez, Antonio González, George C. Zalidis
2016 B conf
On the use of an incremental approach to learn fuzzy classification rules for big data problems.
FUZZ-IEEE
Juan Carlos Gámez, David García, Antonio González, Raúl Pérez
2016 J jnl
Ordinal classification based on the sequential covering strategy.
Int. J. Approx. Reason.
Juan Carlos Gámez, David García, Antonio González Muñoz, Raúl Pérez
2015 — conf
A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery.
IFSA-EUSFLAT
David García, Dimitris G. Stavrakoudis, Antonio González Muñoz, Raúl Pérez, John B. Theocharis
2015 J jnl
A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection.
IEEE Trans. Knowl. Data Eng.
Enrique Leyva, Antonio González Muñoz, Raúl Pérez
2015 J jnl
An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach.
Int. J. Approx. Reason.
David García, Juan Carlos Gámez, Antonio González Muñoz, Raúl Pérez
2015 J jnl
Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective.
Pattern Recognit.
Enrique Leyva, Antonio González Muñoz, Raúl Pérez
2015 B conf
Using a sequential covering strategy for discovering fuzzy rules incrementally.
FUZZ-IEEE
David García, Juan Carlos Gámez, Antonio González Muñoz, Raúl Pérez
2014 J jnl
A feature construction approach for genetic iterative rule learning algorithm.
J. Comput. Syst. Sci.
David García, Antonio González Muñoz, Raúl Pérez
2014 J jnl
On the use of meta-learning for instance selection: An architecture and an experimental study.
Inf. Sci.
Enrique Leyva, Yoel Caises, Antonio González Muñoz, Raúl Pérez
2014 J jnl
Overview of the SLAVE learning algorithm: A review of its evolution and prospects.
Int. J. Comput. Intell. Syst.
David García, Antonio González Muñoz, Raúl Pérez
2013 — conf
A Genetic Tuned Fuzzy Classifier Based on Prototypes.
EUSFLAT Conf.
Enrique Leyva, Antonio González Muñoz, Raúl Pérez
2013 B conf
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm.
FUZZ-IEEE
David García, Antonio González Muñoz, Raúl Pérez
2013 — conf
An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition.
GEFS
David García, Antonio González Muñoz, Raúl Pérez
2013 J jnl
Knowledge-based instance selection: A compromise between efficiency and versatility.
Knowl. Based Syst.
Enrique Leyva, Antonio González Muñoz, Raúl Pérez
2012 J jnl
An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules.
Int. J. Comput. Intell. Syst.
Antonio González Muñoz, Raúl Pérez, Yoel Caises, Enrique Leyva
2011 B conf
A two-step approach of feature construction for a genetic learning algorithm.
FUZZ-IEEE
David García, Antonio González Muñoz, Raúl Pérez
2011 C conf
An iterative strategy for feature construction on a fuzzy rule-based learning algorithm.
ISDA
David García, Antonio González Muñoz, Raúl Pérez
2011 J jnl
Combining instance selection methods based on data characterization: An approach to increase their effectiveness.
Inf. Sci.
Yoel Caises, Antonio González Muñoz, Enrique Leyva, Raúl Pérez
2010 B conf
A genetic learning of fuzzy relational rules.
FUZZ-IEEE
Yoel Caises, Enrique Leyva, Antonio González Muñoz, Raúl Pérez
2010 — conf
An extension of the Genetic Iterative Approach for learning rule subsets.
GEFS
Yoel Caises, Enrique Leyva, Antonio González Muñoz, Raúl Pérez
2009 C conf
SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains.
IDEAL
Yoel Caises, Antonio González Muñoz, Enrique Leyva, Raúl Pérez
2008 J jnl
Distortion Mitigation in RF Power Amplifiers Through FPGA-Based Amplitude and Phase Predistortion.
IEEE Trans. Ind. Electron.
J. Luis Mato, Miguel Pereira, Juan J. Rodríguez-Andina, José Fariña, Enrique Soto, Raúl Pérez
2007 — conf
Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs.
EUROCAST
Enrique Alba, Alejandro Cervantes, J. A. Gómez, Pedro Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, Raúl Pérez, Carlos Segura
2007 J jnl
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off.
Int. J. Approx. Reason.
Jorge Casillas, Francisco Herrera, Raúl Pérez, María José del Jesus, Pedro Villar
2004 J jnl
A fuzzy perceptual model for map building and navigation of mobile robots.
Integr. Comput. Aided Eng.
Eugenio Aguirre, José F. Argudo, Antonio González Muñoz, Raúl Pérez
2003 — conf
An inductive approach for learning fuzzy relation rules.
EUSFLAT Conf.
Eugenio Aguirre, Antonio González Muñoz, Raúl Pérez
2003 — conf
Current issues and future directions in evolutionary fuzzy systems research.
EUSFLAT Conf.
Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González Muñoz, Raúl Pérez
2003 J jnl
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms.
Appl. Intell.
Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez
2001 J jnl
An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms.
Inf. Sci.
Antonio González Muñoz, Raúl Pérez
2001 J jnl
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm.
Fuzzy Sets Syst.
Luis A. Castillo, Antonio González Muñoz, Raúl Pérez
2001 J jnl
Selection of relevant features in a fuzzy genetic learning algorithm.
IEEE Trans. Syst. Man Cybern. Part B
Antonio González Muñoz, Raúl Pérez
1999 J jnl
A Study About the Inclusion of Linguistic Hedges in a Fuzzy Rule Learning Algorithm.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Antonio González Muñoz, Raúl Pérez
1999 J jnl
SLAVE: a genetic learning system based on an iterative approach.
IEEE Trans. Fuzzy Syst.
Antonio González Muñoz, Raúl Pérez
1998 J jnl
A fuzzy theory refinement algorithm.
Int. J. Approx. Reason.
Antonio González Muñoz, Raúl Pérez
1998 J jnl
Completeness and consistency conditions for learning fuzzy rules.
Fuzzy Sets Syst.
Antonio González, Raúl Pérez
1998 J jnl
Un algoritmo de aprendizaje de reglas basado en el método genético iterativo.
Inteligencia Artif.
Antonio González Muñoz, Raúl Pérez