default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRaúl Pérez
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j29]Leonardo Jara
, Antonio González, Raúl Pérez:
QChi: A Faster Classification Algorithm Based on Wang-Mendel Algorithm. IEEE Trans. Fuzzy Syst. 32(4): 2261-2271 (2024)- [i3]Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez:
Learning to Select Goals in Automated Planning with Deep-Q Learning. CoRR abs/2406.14779 (2024) - 2023
- [i2]Ignacio Vellido, Juan Fdez-Olivares, Raúl Pérez:
Discovering and Explaining Driver Behaviour under HoS Regulations. CoRR abs/2301.05082 (2023) - 2022
- [j28]Leonardo Jara, Rubén Ariza-Valderrama, Juan Fernández-Olivares, Antonio González, Raúl Pérez:
Efficient inference models for classification problems with a high number of fuzzy rules. Appl. Soft Comput. 115: 108164 (2022) - [j27]Carlos Núñez-Molina, Juan Fernández-Olivares, Raúl Pérez:
Learning to select goals in Automated Planning with Deep-Q Learning. Expert Syst. Appl. 202: 117265 (2022) - [j26]Juan Carlos Gámez-Granados, Javier Irurita, Raúl Pérez, Antonio González Muñoz, Sergio Damas, Inmaculada Alemán, Oscar Cordón:
Automating the decision making process of Todd's age estimation method from the pubic symphysis with explainable machine learning. Inf. Sci. 612: 514-535 (2022) - [c25]Leonardo Jara, Antonio González, Raúl Pérez:
A new multi-rules approach to improve the performance of the Chi fuzzy rule classification algorithm. FUZZ-IEEE 2022: 1-6 - [c24]Ignacio Vellido-Expósito, Juan Fernández-Olivares, Raúl Pérez, Luis A. Castillo:
Analyzing Driver Behavior Compliance under HoS Regulations. VEHITS 2022: 463-470 - 2021
- [j25]José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares:
Discovering relational and numerical expressions from plan traces for learning action models. Appl. Intell. 51(11): 7973-7989 (2021) - [c23]Carlos Núñez-Molina, Ignacio Vellido-Expósito, Vladislav Nikolov-Vasilev, Raúl Pérez, Juan Fdez-Olivares:
A Proposal to Integrate Deep Q-Learning with Automated Planning to Improve the Performance of a Planning-Based Agent. CAEPIA 2021: 23-32 - [i1]José Á. Segura-Muros, Juan Fernández-Olivares, Raúl Pérez:
Learning Numerical Action Models from Noisy Input Data. CoRR abs/2111.04997 (2021) - 2020
- [c22]Juan Fernández-Olivares, Raúl Pérez:
Driver Activity Recognition by Means of Temporal HTN Planning. ICAPS 2020: 375-383 - [c21]Leonardo Jara, Antonio González, Raúl Pérez:
A preliminary study to apply the Quine McCluskey algorithm for fuzzy rule base minimization. FUZZ-IEEE 2020: 1-6
2010 – 2019
- 2019
- [j24]Juan Carlos Gámez, David García, Antonio González, Raúl Pérez:
An approximation to solve regression problems with a genetic fuzzy rule ordinal algorithm. Appl. Soft Comput. 78: 13-28 (2019) - [j23]Antonio González, Raúl Pérez, Rocío Romero-Záliz:
An Incremental Approach to Address Big Data Classification Problems Using Cognitive Models. Cogn. Comput. 11(3): 347-366 (2019) - [c20]Juan Carlos Gámez-Granados, José Manuel Soto-Hidalgo, Giovanni Acampora, Antonio González Muñoz, Raúl Pérez:
A software implementation of the fuzzy rule learning algorithm NSLVOrd for ordinal classification into KEEL. FUZZ-IEEE 2019: 1-6 - [c19]Antonio González, Raúl Pérez, Rocío Romero-Záliz:
Reasoning Methods in Fuzzy Rule-based Classification Systems for Big Data Problems. IoTBDS 2019: 255-261 - 2018
- [c18]José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares:
Learning Planning Action Models with Numerical Information and Logic Relationships Using Classification Techniques. CAEPIA 2018: 372-382 - [c17]José Á. Segura-Muros, Raúl Pérez, Juan Fernández-Olivares:
Using Inductive Rule Learning Techniques to Learn Planning Domains. IPMU (3) 2018: 642-656 - 2017
- [c16]Rocío Romero-Záliz, Antonio González Muñoz, Raúl Pérez:
Incremental fuzzy learning algorithms in big data problems: A study on the size of learning subsets. FUZZ-IEEE 2017: 1-6 - 2016
- [j22]Juan Carlos Gámez, David García, Antonio González Muñoz, Raúl Pérez:
Ordinal classification based on the sequential covering strategy. Int. J. Approx. Reason. 76: 96-110 (2016) - [c15]Juan Carlos Gámez, David García, Antonio González, Raúl Pérez:
On the use of an incremental approach to learn fuzzy classification rules for big data problems. FUZZ-IEEE 2016: 1413-1420 - [c14]Nikolaos L. Tsakiridis, John B. Theocharis, Raúl Pérez, Antonio González, George C. Zalidis:
Extensions of the DECO3R algorithm for generating compact and cooperating Fuzzy Rule-based Classification Systems. FUZZ-IEEE 2016: 1429-1436 - 2015
- [j21]David García, Juan Carlos Gámez, Antonio González Muñoz, Raúl Pérez:
An interpretability improvement for fuzzy rule bases obtained by the iterative rule learning approach. Int. J. Approx. Reason. 67: 37-58 (2015) - [j20]Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
Three new instance selection methods based on local sets: A comparative study with several approaches from a bi-objective perspective. Pattern Recognit. 48(4): 1523-1537 (2015) - [j19]Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
A Set of Complexity Measures Designed for Applying Meta-Learning to Instance Selection. IEEE Trans. Knowl. Data Eng. 27(2): 354-367 (2015) - [c13]David García, Dimitris G. Stavrakoudis, Antonio González Muñoz, Raúl Pérez, John B. Theocharis:
A Fuzzy Rule-Based Feature Construction Approach Applied to Remotely Sensed Imagery. IFSA-EUSFLAT 2015 - [c12]David García, Juan Carlos Gámez, Antonio González Muñoz, Raúl Pérez:
Using a sequential covering strategy for discovering fuzzy rules incrementally. FUZZ-IEEE 2015: 1-8 - 2014
- [j18]David García, Antonio González Muñoz, Raúl Pérez:
Overview of the SLAVE learning algorithm: A review of its evolution and prospects. Int. J. Comput. Intell. Syst. 7(6): 1194-1221 (2014) - [j17]Enrique Leyva, Yoel Caises, Antonio González Muñoz, Raúl Pérez:
On the use of meta-learning for instance selection: An architecture and an experimental study. Inf. Sci. 266: 16-30 (2014) - [j16]David García, Antonio González Muñoz, Raúl Pérez:
A feature construction approach for genetic iterative rule learning algorithm. J. Comput. Syst. Sci. 80(1): 101-117 (2014) - 2013
- [j15]Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
Knowledge-based instance selection: A compromise between efficiency and versatility. Knowl. Based Syst. 47: 65-76 (2013) - [c11]Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
A Genetic Tuned Fuzzy Classifier Based on Prototypes. EUSFLAT Conf. 2013 - [c10]David García, Antonio González Muñoz, Raúl Pérez:
A new iterative model to simplify the knowledge extracted on a fuzzy rule-based learning algorithm. FUZZ-IEEE 2013: 1-7 - [c9]David García, Antonio González Muñoz, Raúl Pérez:
An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition. GEFS 2013: 8-15 - 2012
- [j14]Antonio González Muñoz, Raúl Pérez, Yoel Caises, Enrique Leyva:
An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules. Int. J. Comput. Intell. Syst. 5(2): 212-230 (2012) - 2011
- [j13]Yoel Caises, Antonio González Muñoz, Enrique Leyva, Raúl Pérez:
Combining instance selection methods based on data characterization: An approach to increase their effectiveness. Inf. Sci. 181(20): 4780-4798 (2011) - [c8]David García, Antonio González Muñoz, Raúl Pérez:
A two-step approach of feature construction for a genetic learning algorithm. FUZZ-IEEE 2011: 1255-1262 - [c7]David García, Antonio González Muñoz, Raúl Pérez:
An iterative strategy for feature construction on a fuzzy rule-based learning algorithm. ISDA 2011: 1235-1240 - 2010
- [c6]Yoel Caises, Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
A genetic learning of fuzzy relational rules. FUZZ-IEEE 2010: 1-8 - [c5]Yoel Caises, Enrique Leyva, Antonio González Muñoz, Raúl Pérez:
An extension of the Genetic Iterative Approach for learning rule subsets. GEFS 2010: 63-67
2000 – 2009
- 2009
- [c4]Yoel Caises, Antonio González Muñoz, Enrique Leyva, Raúl Pérez:
SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains. IDEAL 2009: 17-24 - 2008
- [j12]J. Luis Mato, Miguel Pereira, Juan J. Rodríguez-Andina, José Fariña, Enrique Soto, Raúl Pérez:
Distortion Mitigation in RF Power Amplifiers Through FPGA-Based Amplitude and Phase Predistortion. IEEE Trans. Ind. Electron. 55(11): 4085-4093 (2008) - 2007
- [j11]Jorge Casillas, Francisco Herrera, Raúl Pérez, María José del Jesus, Pedro Villar:
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. Int. J. Approx. Reason. 44(1): 1-3 (2007) - [c3]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:
Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST 2007: 755-763 - 2004
- [j10]Eugenio Aguirre, José F. Argudo, Antonio González Muñoz, Raúl Pérez:
A fuzzy perceptual model for map building and navigation of mobile robots. Integr. Comput. Aided Eng. 11(3): 239-258 (2004) - 2003
- [j9]Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez:
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Appl. Intell. 18(2): 155-177 (2003) - [c2]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:
Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. 2003: 81-87 - [c1]Eugenio Aguirre, Antonio González Muñoz, Raúl Pérez:
An inductive approach for learning fuzzy relation rules. EUSFLAT Conf. 2003: 88-93 - 2001
- [j8]Luis A. Castillo, Antonio González Muñoz, Raúl Pérez:
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm. Fuzzy Sets Syst. 120(2): 309-321 (2001) - [j7]Antonio González Muñoz, Raúl Pérez:
An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms. Inf. Sci. 136(1-4): 159-174 (2001) - [j6]Antonio González Muñoz, Raúl Pérez:
Selection of relevant features in a fuzzy genetic learning algorithm. IEEE Trans. Syst. Man Cybern. Part B 31(3): 417-425 (2001)
1990 – 1999
- 1999
- [j5]Antonio González Muñoz, Raúl Pérez:
A Study About the Inclusion of Linguistic Hedges in a Fuzzy Rule Learning Algorithm. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 7(3): 257-266 (1999) - [j4]Antonio González Muñoz, Raúl Pérez:
SLAVE: a genetic learning system based on an iterative approach. IEEE Trans. Fuzzy Syst. 7(2): 176-191 (1999) - 1998
- [j3]Antonio González Muñoz, Raúl Pérez:
Un algoritmo de aprendizaje de reglas basado en el método genético iterativo. Inteligencia Artif. 2(5): 44-49 (1998) - [j2]Antonio González, Raúl Pérez:
Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets Syst. 96(1): 37-51 (1998) - [j1]Antonio González Muñoz, Raúl Pérez:
A fuzzy theory refinement algorithm. Int. J. Approx. Reason. 19(3-4): 193-220 (1998)
Coauthor Index
aka: Juan Fdez-Olivares
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-05 22:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
