Publikationen (295) Publikationen, an denen Forscher/innen teilgenommen haben

2024

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

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

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

    Heliyon, Vol. 10, Núm. 4

  3. 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)

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

    Heliyon, Vol. 10, Núm. 3

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

    Proceedings of the ACM Symposium on Applied Computing

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

    Astronomy and Astrophysics, Vol. 686

  7. Emerging trends in big data analytics and natural disasters

    Computers and Geosciences

  8. Evolutionary Feature Selection for Time-Series Forecasting

    Proceedings of the ACM Symposium on Applied Computing

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

    Applied Soft Computing, Vol. 157

  10. 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

  11. Feature selection: a perspective on inter-attribute cooperation

    International Journal of Data Science and Analytics, Vol. 17, Núm. 2, pp. 139-151

  12. Gaia Focused Product Release: A catalogue of sources around quasars to search for strongly lensed quasars

    Astronomy and Astrophysics, Vol. 685

  13. Ground-Level Ozone Forecasting Using Explainable Machine Learning

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

  14. Medium-term water consumption forecasting based on deep neural networks

    Expert Systems with Applications, Vol. 247

  15. Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting

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

  16. Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

    Future Generation Computer Systems, Vol. 154, pp. 397-412

  17. Preface

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

  18. Semi-real-time decision tree ensemble algorithms for very short-term solar irradiance forecasting

    International Journal of Electrical Power and Energy Systems, Vol. 158

  19. Técnicas Big Data para la predicción de la demanda y precio eléctrico

    Economía industrial, Núm. 431, pp. 119-130

  20. Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo

    Enseñanza e innovación educativa en el ámbito universitario (Dykinson), pp. 1156-1167