Publicaciones (1.041) Publicaciones en las que ha participado algún/a investigador/a

2024

  1. Air Travel Itinerary Market Share Prediction using Artificial Intelligence

    Journal of Physics: Conference Series

  2. Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families

    Logic Journal of the IGPL, Vol. 32, Núm. 2, pp. 306-320

  3. Demand charges reduction with photovoltaics in industry

    Heliyon, Vol. 10, Núm. 1

  4. Editorial: Special issue CISIS 2021

    Logic Journal of the IGPL

  5. Effect of Vagus Nerve Stimulation on the GASH/Sal Audiogenic-Seizure-Prone Hamster

    International Journal of Molecular Sciences, Vol. 25, Núm. 1

  6. Emerging Technologies in Edge Computing and Networking

    Sensors

  7. Job offers recommender system based on virtual organizations

    Expert Systems, Vol. 41, Núm. 2

  8. Recommendation system using bio-inspired algorithms for urban orchards

    Internet of Things (Netherlands), Vol. 26

  9. Smart Technologies for Sustainable Urban and Regional Development

    Sustainability (Switzerland)

  10. Special Issue SOCO 2021: New trends in soft computing and its application in industrial and environmental problems

    Neurocomputing

  11. Special Issue SOCO 2022: New trends in soft computing and its application in industrial and environmental problems

    Neurocomputing

  12. Special Issue on Hybrid Artificial Intelligence Systems from HAIS 2021 Conference

    Neurocomputing

  13. Special issue on hybrid artificial intelligence systems from HAIS 2022 conference

    Neurocomputing

  14. Tackling the problem of noisy IoT sensor data in smart agriculture: Regression noise filters for enhanced evapotranspiration prediction

    Expert Systems with Applications, Vol. 237

  15. Trustworthy Artificial Intelligence -based federated architecture for symptomatic disease detection

    Neurocomputing, Vol. 579

  16. Understanding Chatbot Adoption in Local Governments: A Review and Framework

    Journal of Urban Technology

  17. Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification

    IEEE Transactions on Machine Learning in Communications and Networking, Vol. 2, pp. 221-239