Francisco Gabriel Raúl Pérez Rodríguez

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Francisco Gabriel Raúl Pérez Rodríguez

Administrative data

Collaborator researcher

  • Position in UGR: Tenure professor
    Department where s/he teaches: Ciencias de la Computación e Inteligencia Artificial
    Research group: TIC-175

Contributions and research experience

Publications in ISI SCI

  • A feature construction approach for genetic iterative rule learning algorithm
    Author-s: Garcia, David; Gonzalez, Antonio; Perez, Raul
    Source: JOURNAL OF COMPUTER AND SYSTEM SCIENCES 80 1 101 117 2014
  • Knowledge-based instance selection: A compromise between efficiency and versatility
    Author-s: Leyva, Enrique; Gonzalez, Antonio; Perez, Raul
    Source: KNOWLEDGE-BASED SYSTEMS 47 65 76 2013
  • A FILTER PROPOSAL FOR INCLUDING FEATURE CONSTRUCTION IN A GENETIC LEARNING ALGORITHM
    Author-s: Garcia, David; Gonzalez, Antonio; Perez, Raul
    Source: INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 20 31 49 2012
  • An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules
    Author-s: Gonzalez, Antonio; Perez, Raul; Caises, Yoel; Leyva, Enrique
    Source: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 5 2 212 230 2012
  • Special issue on Genetic fuzzy systems and the interpretability-accuracy trade-off - Preface
    Author-s: Casillas, J.; Herrera, F.; Perez, R.; Villar, P.
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 44 1 1 3 2007
  • An experimental study about the search mechanism in the SLAVE learning algorithm: Hill-climbing methods versus genetic algorithms
    Author-s: Gonzalez, A; Perez, R
    Source: INFORMATION SCIENCES 136 1-4 159 174 8th International Conference on Information Proces JUL 03-07, 2000 MADRID, MADRID 2001
  • Selection of relevant features in a fuzzy genetic learning algorithm
    Author-s: Gonzalez, A; Perez, R
    Source: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 31 3 417 425 2001
  • Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
    Author-s: Castillo, L; Gonzalez, A; Perez, R
    Source: FUZZY SETS AND SYSTEMS 120 2 309 321 2001
  • A study about the inclusion of linguistic hedges in a fuzzy rule learning algorithm
    Author-s: Gonzalez, A; Perez, R
    Source: INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 7 3 257 266 1999
  • SLAVE: A genetic learning system based on an iterative approach
    Author-s: Gonzalez, A; Perez, R
    Source: IEEE TRANSACTIONS ON FUZZY SYSTEMS 7 2 176 191 1999
  • Combining instance selection methods based on data characterization: An approach to increase their effectiveness
    Author-s: Caises, Yoel; Gonzalez, Antonio; Leyva, Enrique; Perez, Raul
    Source: INFORMATION SCIENCES 181 20 4780 4798 2011
  • Completeness and consistency conditions for learning fuzzy rules
    Author-s: Gonzalez, A; Perez, R
    Source: FUZZY SETS AND SYSTEMS 96 1 37 51 1998
  • A fuzzy perceptual model for map building and navigation of mobile robots
    Author-s: Aguirre, E; Argudo, JF; Gonzalez, A; Perez, R
    Source: INTEGRATED COMPUTER-AIDED ENGINEERING 11 3 239 258 2004
  • Fuzzy control of HVAC systems optimized by genetic algorithms
    Author-s: Alcala, R; Benitez, JM; Casillas, J; Cordon, O; Perez, R
    Source: APPLIED INTELLIGENCE 18 2 155 177 2003
  • A fuzzy theory refinement algorithm
    Author-s: Gonzalez, A; Perez, R
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 19 3-4 193 220 1998

Conferences in ISI CPCI-Science

  • A New Iterative Model to Simplify the Knowledge Extracted on a Fuzzy Rule-Based Learning Algorithm
    Author-s: Garcia, David; Gonzalez, Antonio; Perez, Raul
    Source: 2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013) -1 -1 IEEE International Conference on Fuzzy Systems (FU JUL 07-10, 2013 Hyderabad, Hyderabad 2013
  • A Two-Step Approach of Feature Construction for a Genetic Learning Algorithm
    Author-s: Garcia, David; Gonzalez, Antonio; Perez, Raul
    Source: IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) 1255 1262 IEEE International Conference on Fuzzy Systems (FU JUN 27-30, 2011 Taipei, Taipei 2011
  • A Genetic Learning of Fuzzy Relational Rules
    Author-s: Caises, Yoel; Leyva, Enrique; Gonzalez, Antonio; Perez, Raul
    Source: 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) -1 -1 2010 IEEE World Congress on Computational Intellig JUL 18-23, 2010 Barcelona, Barcelona 2010
  • SCIS: Combining Instance Selection Methods to Increase Their Effectiveness over a Wide Range of Domains
    Author-s: Caises, Yoel; Gonzalez, Antonio; Leyva, Enrique; Perez, Raul
    Source: INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, PROCEEDINGS 5788 17 24 10th International Conference on Intelligent Data SEP 23-26, 2009 Burgos, Burgos 2009

Book chapters in ISI

  • An empirical study about the behavior of a genetic learning algorithm on searching spaces pruned by a completeness condition
    Author-s: Garcia, David; Gonzalez, Antonio; Perez, Raul
    Source: 2013 IEEE INTERNATIONAL WORKSHOP ON GENETIC AND EVOLUTIONARY FUZZY SYSTEMS (GEFS) 8 15 6th IEEE International Workshop on Genetic and Evo APR 16-19, 2013 Singapore, Singapore 2013
  • Using information measures for determining the relevance of the predictive variables in learning problems
    Author-s: Gonzalez, A; Perez, R
    Source: PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III 1423 1428 6th IEEE International Conference on Fuzzy Systems JUL 01-05, 1997 BARCELONA, BARCELONA 1997
  • STRUCTURAL LEARNING OF FUZZY RULES FROM NOISED EXAMPLES
    Author-s: GONZALEZ, A; PEREZ, R
    Source: PROCEEDINGS OF 1995 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I-IV 1323 1330 4th IEEE International Conference on Fuzzy Systems MAR 20-24, 1995 YOKOHAMA, YOKOHAMA 1995

Doctoral Dissertations supervised

  • Uso de Técnicas de Aprendizaje para Clasificación Ordinal y Regresión
    Author: Juan Carlos Gámez Granados
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2017-11-16
    Supervision: Antonio González Muñoz, Francisco Gabriel Raúl Pérez Rodríguez
  • Extensiones del enfoque genético iterativo para el aprendizaje de reglas difusas
    Author: David García Muñoz
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2015-06-12
    Supervision: Antonio González Muñoz, Francisco Gabriel Raúl Pérez Rodríguez
    Special mention: internacional
  • Selección de ejemplos para clasificación: un enfoque basado en la caracterización de los datos de entrada
    Author: Enrique José Leyva Miranda
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2011-12-12
    Supervision: Antonio González Muñoz, Francisco Gabriel Raúl Pérez Rodríguez

Research visits

  • DEPARTAMENTO DE COMPUTACIÓN (UNIVERSIDAD DE BUENOS AIRES)
    Visiting researcher: Pérez Rodríguez, Francisco Gabriel Raúl
    Research group: TIC-175
    Place: BUENOS AIRES; ARGENTINA
    Start date: 2003-07-10
    End date: 2003-08-10
    Visiting category: INV
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