Argitalpenak (34) ÁNGEL MIGUEL GARCÍA VICO argitalpenak

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)

  2. Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites

    Applied Soft Computing, Vol. 160

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

  5. Consumption–Production Profile Categorization in Energy Communities

    Energies, Vol. 16, Núm. 19

  6. Exploring the implementation of LSTM inference on FPGA

    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023

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

    Neurocomputing, Vol. 517, pp. 223-228

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

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

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

  4. Spiking neural networks based on two-dimensional materials

    npj 2D Materials and Applications, Vol. 6, Núm. 1

2021

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

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

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

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

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

    Advances in Intelligent Systems and Computing

  4. 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

  5. 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