Publicacions (305) Publicacions en què ha participat algun/a investigador/a Veure dades d'investigació referenciades.

2025

  1. Nonlinear Ensemble Deep Learning Model for Energy Consumption Prediction with Bayesian Optimization

    Communications on Applied Nonlinear Analysis, Vol. 32, Núm. 1, pp. 155-172

  2. Preface

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

  3. Preface

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

2024

  1. A novel incremental ensemble learning for real-time explainable forecasting of electricity price

    Knowledge-Based Systems, Vol. 305

  2. A stacking ensemble learning for Iberian pigs activity prediction: a time series forecasting approach

    AIMS Mathematics, Vol. 9, Núm. 5, pp. 13358-13384

  3. ASACO: Automatic and Serial Analysis of CO-expression to discover gene modifiers with potential use in drug repurposing

    Briefings in Functional Genomics, Vol. 23, Núm. 4, pp. 484-494

  4. Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models

    Heliyon, Vol. 10, Núm. 4

  5. Advances in time series forecasting: innovative methods and applications

    AIMS Mathematics

  6. Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning

    Engineering Applications of Artificial Intelligence, Vol. 137

  7. An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines

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

  8. An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market

    Heliyon, Vol. 10, Núm. 3

  9. An evolutionary triclustering approach to discover electricity consumption patterns in France

    Proceedings of the ACM Symposium on Applied Computing

  10. Discovery of a dormant 33 solar-mass black hole in pre-release Gaia astrometry

    Astronomy and Astrophysics, Vol. 686

  11. Effective Identification and Authentication of Healthcare IoT Using Fog Computing with Hybrid Cryptographic Algorithm

    Symmetry, Vol. 16, Núm. 6

  12. Emerging trends in big data analytics and natural disasters

    Computers and Geosciences

  13. Evolutionary Feature Selection for Time-Series Forecasting

    Proceedings of the ACM Symposium on Applied Computing

  14. Explainable deep learning on multi-target time series forecasting: An air pollution use case

    Results in Engineering, Vol. 24

  15. Explainable olive grove and grapevine pest forecasting through machine learning-based classification and regression

    Results in Engineering, Vol. 24

  16. Explaining deep learning models for ozone pollution prediction via embedded feature selection

    Applied Soft Computing, Vol. 157

  17. Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach

    Computer Communications, Vol. 217, pp. 230-245