Publikationen, an denen er mitarbeitet Pedro Isasi Viñuela (23)

2022

  1. AWS PredSpot: Machine learning for predicting the price of spot instances in AWS cloud

    IJIMAI, Vol. 7, Núm. 3, pp. 65-74

2020

  1. IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems

    Expert Systems with Applications, Vol. 142

2018

  1. A recommender system based on implicit feedback for selective dissemination of ebooks

    Information Sciences, Vol. 467, pp. 87-98

  2. Evolutionary convolutional neural networks: An application to handwriting recognition

    Neurocomputing, Vol. 283, pp. 38-52

  3. Evolutionary design of convolutional neural networks for human activity recognition in sensor-rich environments

    Sensors (Switzerland), Vol. 18, Núm. 4

  4. Grid-enabled evolution strategies for large-scale home care crew scheduling

    Cluster Computing, Vol. 21, Núm. 2

  5. Internet use and psychological well-being at advanced age: Evidence from the English longitudinal study of aging

    International Journal of Environmental Research and Public Health, Vol. 15, Núm. 3

  6. Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms

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

  7. System steganalysis with automatic fingerprint extraction

    PLoS ONE, Vol. 13, Núm. 4

2017

  1. A comparison study of classifier algorithms for cross-person physical activity recognition

    Sensors (Switzerland), Vol. 17, Núm. 1

  2. Clustering technique for large-scale home care crew scheduling problems

    Applied Intelligence, Vol. 47, Núm. 2, pp. 443-455

  3. Feature selection for physical activity recognition using genetic algorithms

    2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings

2013

  1. Learning from non-stationary data using a growing network of prototypes

    2013 IEEE Congress on Evolutionary Computation, CEC 2013

2009

  1. AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification

    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, Vol. 39, Núm. 5, pp. 1082-1091

  2. Michigan particle swarm optimization for prototype reduction in classification problems

    New Generation Computing, Vol. 27, Núm. 3, pp. 239-257

2008

  1. Driving cars by means of genetic algorithms

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

2007

  1. An adaptive michigan approach PSO for nearest prototype classification

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

  2. Building nearest prototype classifiers using a Michigan approach PSO

    2007 IEEE SWARM INTELLIGENCE SYMPOSIUM

  3. Metaheuristic approaches for optimal broadcasting design in metropolitan MANETs

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

  4. Multiobjective algorithms to optimize broadcasting parameters in mobile ad-hoc networks

    2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS