Publikationen (205) Publikationen von Alicia Troncoso Lora

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2026

  1. Preface

    Lecture Notes in Computer Science

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. Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses

    Communications in Computer and Information Science

  8. Editorial: Special Issue CISIS 2022

    Logic Journal of the IGPL

  9. Editorial: Special Issue HAIS 2022

    Logic Journal of the IGPL

  10. Editorial: Special Issue SOCO 2022

    Logic Journal of the IGPL

  11. Energy-efficient transfer learning for water consumption forecasting

    Sustainable Computing: Informatics and Systems, Vol. 46

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

    Ecological Informatics, Vol. 85

  13. Improving monsoon forecasting based on feature selection and explainable artificial intelligence

    Applied Soft Computing, Vol. 185

  14. Metalearning for improving time series forecasting based on deep learning: A water case study

    Results in Engineering, Vol. 28

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

    Neural Computing and Applications, Vol. 37, Núm. 27, pp. 22923-22940

  16. Preface

    Lecture Notes in Networks and Systems

  17. Preface

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

  18. 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