ÁNGEL MIGUEL GARCÍA VICO-rekin lankidetzan egindako argitalpenak (25)

2024

  1. Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. A Multiclustering Evolutionary Hyperrectangle-Based Algorithm

    International Journal of Computational Intelligence Systems, Vol. 16, Núm. 1

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

    Information Fusion, Vol. 91, pp. 412-423

  3. An Evolutionary Fuzzy System for Multiclustering in Data Streaming

    Procedia Computer Science

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

    Progress in Artificial Intelligence, Vol. 12, Núm. 1, pp. 33-44

2022

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

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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

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

2021

  1. A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

    Advances in Intelligent Systems and Computing

  2. A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

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

    Expert Systems with Applications, Vol. 183

2020

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

    Neurocomputing, Vol. 415, pp. 60-73

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

    IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 12, pp. 3193-3203

2019

  1. A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

    Cognitive Computation, Vol. 11, Núm. 3, pp. 400-417

  2. Subgroup discovery on multiple instance data

    International Journal of Computational Intelligence Systems, Vol. 12, Núm. 2, pp. 1602-1612

2018

  1. An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects

    Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Vol. 8, Núm. 1

  2. Improvement of subgroup descriptions in noisy data by detecting exceptions

    Progress in Artificial Intelligence, Vol. 7, Núm. 1, pp. 55-64

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

    IEEE Transactions on Fuzzy Systems, Vol. 26, Núm. 5, pp. 2861-2872

  4. MOEA-EFEP: un algoritmo evolutivo multi-objetivo para la extracción de patrones emergentes difusos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  5. Modelos descriptivos basados en aprendizaje supervisado para el tratamiento de grandes vol´umenes de datos y flujos continuos de datos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

  6. Una primera aproximación para la extracción de patrones emergentes en flujos continuos de datos

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España