Universidad de Sevilla-ko ikertzaileekin lankidetzan egindako argitalpenak (267)

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

2024

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

    Heliyon, Vol. 10, Núm. 4

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

    AIMS Mathematics

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

    Engineering Applications of Artificial Intelligence, Vol. 137

  4. 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)

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

    Heliyon, Vol. 10, Núm. 3

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

    Proceedings of the ACM Symposium on Applied Computing

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

    Results in Engineering, Vol. 24

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

    Applied Soft Computing, Vol. 157

  11. 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)

  12. 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)

  13. Preface

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

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

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

  15. 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

2023

  1. A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia

    Energies, Vol. 16, Núm. 5

  2. A Feature Selection and Association Rule Approach to Identify Genes Associated with Metastasis and Low Survival in Sarcoma

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

  3. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

  4. A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

    Proceedings of the ACM Symposium on Applied Computing