Publicacións en colaboración con investigadores/as de Universidad de Granada (35)

2023

  1. A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters

    Computing, Vol. 105, Núm. 11, pp. 2487-2510

  2. A novel keyframe extraction method for video classification using deep neural networks

    Neural Computing and Applications, Vol. 35, Núm. 34, pp. 24513-24524

  3. Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

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

  4. Photon/electron classification in liquid argon detectors by means of Soft Computing

    Engineering Applications of Artificial Intelligence, Vol. 122

2022

  1. Ant colony optimization for feature selection via a filter-randomized search heuristic

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  2. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  3. Energy Efficiency of Personal Computers: A Comparative Analysis

    Sustainability (Switzerland), Vol. 14, Núm. 19

  4. HIGEA: An Intelligent Conversational Agent to Detect Caregiver Burden

    International Journal of Environmental Research and Public Health, Vol. 19, Núm. 23

  5. Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

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

2021

  1. A lexicographic cooperative co-evolutionary approach for feature selection

    Neurocomputing, Vol. 463, pp. 59-76

  2. Energy-Time Profiling for Machine Learning Methods to EEG Classification

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

  3. Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

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

  4. Optimization of deep architectures for eeg signal classification: An automl approach using evolutionary algorithms

    Sensors, Vol. 21, Núm. 6, pp. 1-21

  5. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification

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

  6. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification

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