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GARCIA VICO, ANGEL MIGUEL

SISTEMAS DE COMUNICACIÓN Y CONTROL / Universidad Nacional de Educación a Distancia

Actividades

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

  • García-Vico, Á.M.
  • González, P.
  • Carmona, C.J.
  • del Jesus, M.J.

Cognitive Computation (p. 400-417) - 2019

Editor: Springer New York LLC

10.1007/s12559-018-9612-7 Ver en origen

  • ISSN/ISBN 1866-9964

A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams

  • García-Vico, Á.M.
  • Carmona, C.
  • González, P.
  • del Jesus, M.J.

Expert Systems with Applications - 2021

Editor: Elsevier Ltd

10.1016/j.eswa.2021.115419 Ver en origen

  • ISSN/ISBN 0957-4174

FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams

  • Garcia-Vico, A.M.
  • Carmona, C.J.
  • Gonzalez, P.
  • Seker, H.
  • Jesus, M.J.D.

IEEE Transactions on Fuzzy Systems (p. 3193-3203) - 2020

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/tfuzz.2020.2992849 Ver en origen

  • ISSN/ISBN 1941-0034

MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns

  • García-Vico, Á.M.
  • Carmona, C.J.
  • González, P.
  • Del Jesus, M.J.

IEEE Transactions on Fuzzy Systems (p. 2861-2872) - 2018

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/tfuzz.2018.2814577 Ver en origen

  • ISSN/ISBN 1063-6706

A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams

  • García-Vico, Á.M.
  • Carmona, C.J.
  • González, P.
  • del Jesus, M.J.

Information Fusion (p. 412-423) - 2023

Editor: Elsevier B.V.

10.1016/j.inffus.2022.10.028 Ver en origen

  • ISSN/ISBN 1566-2535

Subgroup discovery on multiple instance data

  • Luna, J.M.
  • Carmona, C.J.
  • García-Vico, A.M.
  • Del Jesus, M.J.
  • Ventura, S.

International Journal of Computational Intelligence Systems (p. 1602-1612) - 2019

Editor: Atlantis Press

10.2991/ijcis.d.191213.001 Ver en origen

  • ISSN/ISBN 1875-6883

E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments

  • García-Vico, Á.M.
  • Charte, F.
  • González, P.
  • Elizondo, D.
  • Carmona, C.J.

Neurocomputing (p. 60-73) - 2020

Editor: Elsevier B.V.

10.1016/j.neucom.2020.07.007 Ver en origen

  • ISSN/ISBN 1872-8286

TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning

  • Aguilera-Martos, I.
  • García-Vico, Á.M.
  • Luengo, J.
  • Damas, S.
  • Melero, F.J.
  • Valle-Alonso, J.J.
  • Herrera, F.
... Ver más Contraer

Neurocomputing (p. 223-228) - 2023

Editor: Elsevier B.V.

10.1016/j.neucom.2022.10.062 Ver en origen

  • ISSN/ISBN 1872-8286

Clustering: an R library to facilitate the analysis and comparison of cluster algorithms

  • Martos, L.A.P.
  • García-Vico, Á.M.
  • González, P.
  • Carmona, C.J.

Progress in Artificial Intelligence (p. 33-44) - 2023

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/s13748-022-00294-2 Ver en origen

  • ISSN/ISBN 2192-6360

Improvement of subgroup descriptions in noisy data by detecting exceptions

  • González, P.
  • García-Vico, Á.M.
  • Carmona, C.J.
  • del Jesus, M.J.

Progress in Artificial Intelligence (p. 55-64) - 2018

Editor: Springer Verlag

10.1007/s13748-017-0131-7 Ver en origen

  • ISSN/ISBN 2192-6360

Este/a investigador/a no tiene libros.

Gamificación mediante juegos de bloques en asignaturas del ámbito de la Inteligencia Artificial en el Grado en Ingeniería Informática

  • Cristóbal José Carmona del Jesús
  • Pedro González García
  • Ángel Miguel García Vico

Educar para transformar: Innovación pedagógica, calidad y TIC en contextos formativos (p. 1076-1082) - 2022

Editor: Dykinson

  • ISSN/ISBN 978-84-1122-469-7

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

  • Ángel Miguel García Vico
  • Cristóbal José Carmona del Jesús
  • Pedro González García
  • María José del Jesús Díaz

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020 (p. 100-110) - 2021

Editor: Springer Suiza

  • ISSN/ISBN 978-3-030-57801-5

A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

  • Garcia-Vico, A.M.
  • Carmona, C.J.
  • Gonzalez, P.
  • del Jesus, M.J.

Advances in Intelligent Systems and Computing (p. 100-110) - 2021

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-030-57802-2_10 Ver en origen

  • ISSN/ISBN 2194-5365

Analysing concentrating photovoltaics technology through the use of emerging pattern mining

  • García-Vico, A.M.
  • Montes, J.
  • Aguilera, J.
  • Carmona, C.J.
  • del Jesus, M.J.

Advances in Intelligent Systems and Computing (p. 334-344) - 2017

Editor: Springer Verlag

10.1007/978-3-319-47364-2_32 Ver en origen

  • ISSN/ISBN 9783319473635

A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks

  • Ángel Miguel García Vico
  • Francisco Herrera Triguero

Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings (p. 564-575) - 2021

Editor: Springer International Publishing AG

  • ISSN/ISBN 978-3-030-86271-8

A first approach to handle fuzzy emerging patterns mining on big data problems: The EvAEFP-spark algorithm

  • García-Vico, A.M.
  • González, P.
  • Del Jesus, M.J.
  • Carmona, C.J.

IEEE International Conference on Fuzzy Systems - 2017

Editor: Institute of Electrical and Electronics Engineers Inc.

10.1109/fuzz-ieee.2017.8015673 Ver en origen

  • ISSN/ISBN 1098-7584

Analysing Concentrating Photovoltaics Technology Through the Use of Emerging Pattern Mining

  • Ángel Miguel García Vico
  • J. Montes
  • J.J. Aguilera
  • Cristóbal José Carmona del Jesús
  • María José del Jesús Díaz

International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings (p. 334-344) - 2017

Editor: Springer Suiza

  • ISSN/ISBN 978-3-319-47364-2

A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks

  • García-Vico, Á.M.
  • Herrera, F.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 564-575) - 2021

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-030-86271-8_47 Ver en origen

  • ISSN/ISBN 1611-3349

A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms

  • Martos, L.A.P.
  • García-Vico, Á.M.
  • González, P.
  • Carmona, C.J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 88-97) - 2022

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-15471-3_8 Ver en origen

  • ISSN/ISBN 1611-3349

Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference

  • Lozada, R.
  • Ruiz, J.
  • González, M.L.
  • Sedano, J.
  • Villar, J.R.
  • García-Vico, Á.M.
  • Skibinsky-Gitlin, E.S.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (p. 348-358) - 2022

Editor: Springer Science and Business Media Deutschland GmbH

10.1007/978-3-031-21753-1_34 Ver en origen

  • ISSN/ISBN 9783031217524

El perfil de las organizaciones en Twitter: distinción entre operadores de productos ecológicos y no ecológicos

  • Enrique Bernal Jurado
  • Domingo Fernandez Uclés
  • Adoración Mozas Moral
  • Miguel Jesús Medina Viruel
  • Luis Alfonso Pérez Martos
  • Ángel Miguel García Vico
  • Pedro González García
... Ver más Contraer

Management in a Smart Society: business and technological challenges (Tokio) : XXVIII Congreso Internacional AEDEM = 2019 AEDEM International Conference : Tokio, 3 y 4 de septiempre de 2019 (p. 679-683) - 2019

Editor: European Academic Press

  • ISSN/ISBN 978-84-09-14122-7

Este/a investigador/a no tiene documentos de trabajo.

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de big data y flujos continuos de datos

  • Ángel Miguel García Vico
  • Cristóbal José Carmona del Jesús (dir. tes.)
  • Pedro González García (dir. tes.)
  • Francisco Herrera Triguero (pres.)
  • Antonio Jesús Rivera Rivas (secr.)
  • Isaac Triguero Velázquez (voc.)

2020

Defensa realizada en: Universidad de Jaén

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 19:35