Publicacions (198) Publicacions de Alicia Troncoso Lora

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2025

  1. A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 47, Núm. 5, pp. 4140-4155

  2. A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 47, Núm. 5, pp. 4140-4155

  3. A multimodal hybrid deep learning approach for pest forecasting using time series and satellite images

    Information Fusion, Vol. 124

  4. A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia

    Neurocomputing, Vol. 637

  5. A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting

    Neural Computing and Applications, Vol. 37, Núm. 5, pp. 3245-3264

  6. Bioinspired evolutionary metaheuristic based on COVID spread for discovering numerical association rules

    Proceedings of the ACM Symposium on Applied Computing

  7. Energy-efficient transfer learning for water consumption forecasting

    Sustainable Computing: Informatics and Systems, Vol. 46

  8. Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas

    Ecological Informatics, Vol. 85

  9. Online forecasting using neighbor-based incremental learning for electricity markets

    Neural Computing and Applications

  10. Preface

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

  11. Preface

    Lecture Notes in Networks and Systems

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

    AIMS Mathematics

  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. Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting

    Proceedings of International Conference on Smart Systems and Technologies, SST 2024

  5. From simple to complex: A sequential method for enhancing time series forecasting with deep learning

    Logic Journal of the IGPL, Vol. 32, Núm. 6, pp. 986-1003

  6. 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)

  7. International Joint Conference: 17th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2024) and 15th International Conference on EUropean Transnational Education (ICEUTE 2024) ed. lit.

    Springer International Publishing AG

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

    Expert Systems with Applications, Vol. 247