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Pedro González 0001
Person information
- affiliation: University of Jaén, Department of Computer Science, Spain
Other persons with the same name
- Pedro González — disambiguation page
- Pedro González 0002
(aka: Pedro González-Rodelas) — University of Granada, Department of Applied Mathematics, Spain
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2020 – today
- 2024
- [c13]Gabriel Quesada Álvarez, María José del Jesus Díaz, Pedro González García:
Explainable Artificial Intelligence: An Overview on Hybrid Models. MAI-XAI@ECAI 2024: 49-60 - 2023
- [j23]Luis Alfonso Pérez Martos
A Multiclustering Evolutionary Hyperrectangle-Based Algorithm. Int. J. Comput. Intell. Syst. 16(1): 165 (2023) - [j22]Ángel Miguel García-Vico
A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams. Inf. Fusion 91: 412-423 (2023) - [j21]Luis Alfonso Pérez Martos
Clustering: an R library to facilitate the analysis and comparison of cluster algorithms. Prog. Artif. Intell. 12(1): 33-44 (2023) - 2022
- [c12]Luis Alfonso Pérez Martos
A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms. HAIS 2022: 88-97 - 2021
- [j20]Ángel Miguel García-Vico, Cristóbal J. Carmona, Pedro González
A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams. Expert Syst. Appl. 183: 115419 (2021) - [c11]Fernando Puentes-Marchal
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. IWANN (2) 2021: 272-280 - 2020
- [j19]Ángel Miguel García-Vico, Francisco Charte, Pedro González
E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments. Neurocomputing 415: 60-73 (2020) - [j18]Fernando Puentes
An analysis of technological frameworks for data streams. Prog. Artif. Intell. 9(3): 239-261 (2020) - [j17]Ángel Miguel García-Vico
FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams. IEEE Trans. Fuzzy Syst. 28(12): 3193-3203 (2020) - [c10]Ángel Miguel García-Vico
A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns. SOCO 2020: 100-110
2010 – 2019
- 2019
- [j16]Ángel Miguel García-Vico
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns. Cogn. Comput. 11(3): 400-417 (2019) - 2018
- [j15]Pedro González García
Improvement of subgroup descriptions in noisy data by detecting exceptions. Prog. Artif. Intell. 7(1): 55-64 (2018) - [j14]Ángel Miguel García-Vico
MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns. IEEE Trans. Fuzzy Syst. 26(5): 2861-2872 (2018) - 2017
- [j13]Francisco Javier Pulgar, Antonio Jesús Rivera Rivas
MEFASD-BD: Multi-objective evolutionary fuzzy algorithm for subgroup discovery in big data environments - A MapReduce solution. Knowl. Based Syst. 117: 70-78 (2017) - [c9]Ángel Miguel García-Vico, Pedro González
A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm. FUZZ-IEEE 2017: 1-6 - 2016
- [j12]Ángel M. García, Francisco Charte, Pedro González
Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package. R J. 8(2): 307 (2016) - 2015
- [j11]Cristóbal J. Carmona
A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Inf. Sci. 298: 180-197 (2015) - [c8]Cristóbal J. Carmona, Pedro González, María José del Jesus:
FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. IFSA-EUSFLAT 2015 - 2014
- [j10]Cristóbal J. Carmona
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowl. Discov. 4(2): 87-103 (2014) - 2013
- [j9]Cristóbal J. Carmona
MEFES: An evolutionary proposal for the detection of exceptions in subgroup discovery. An application to Concentrating Photovoltaic Technology. Knowl. Based Syst. 54: 73-85 (2013) - [c7]Cristóbal J. Carmona
An evolutionary fuzzy system for the detection of exceptions in subgroup discovery. IFSA/NAFIPS 2013: 74-79 - 2012
- [j8]Cristóbal J. Carmona
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery. Expert Syst. Appl. 39(13): 11404-11412 (2012) - [j7]Cristóbal J. Carmona
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD. Int. J. Comput. Intell. Syst. 5(2): 355-367 (2012) - [c6]Cristóbal J. Carmona
A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery. FUZZ-IEEE 2012: 1-7 - 2011
- [j6]Francisco Herrera
An overview on subgroup discovery: foundations and applications. Knowl. Inf. Syst. 29(3): 495-525 (2011) - [j5]Cristóbal J. Carmona
Evolutionary fuzzy rule extraction for subgroup discovery in a psychiatric emergency department. Soft Comput. 15(12): 2435-2448 (2011) - [j4]María José del Jesus
On the discovery of association rules by means of evolutionary algorithms. WIREs Data Mining Knowl. Discov. 1(5): 397-415 (2011) - [c5]Cristóbal J. Carmona
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD. GEFS 2011: 17-23 - 2010
- [j3]Cristóbal J. Carmona
NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery. IEEE Trans. Fuzzy Syst. 18(5): 958-970 (2010)
2000 – 2009
- 2009
- [j2]Cristóbal Romero
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Syst. Appl. 36(2): 1632-1644 (2009) - [c4]Cristóbal J. Carmona
An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. FUZZ-IEEE 2009: 1706-1711 - [c3]Cristóbal J. Carmona
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. HAIS 2009: 573-580 - 2008
- [p2]María José del Jesus
Subgroup Discovery with Linguistic Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 411-430 - 2007
- [j1]María José del Jesus
Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. IEEE Trans. Fuzzy Syst. 15(4): 578-592 (2007) - [c2]María José del Jesus
Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. MCDM 2007: 50-57 - 2006
- [c1]Francisco José Berlanga, María José del Jesus, Pedro González
Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. ICDM 2006: 337-349 - 2005
- [p1]María José del Jesus
Evolutionary Induction of Descriptive Rules in a Market Problem. Intelligent Data Mining 2005: 267-292
Coauthor Index
aka: Cristóbal José Carmona
aka: María José del Jesus Díaz
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