Alicia Troncoso Lora-rekin lankidetzan egindako argitalpenak (8)

2024

  1. 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)

2023

  1. A new approach based on association rules to add explainability to time series forecasting models

    Information Fusion, Vol. 94, pp. 169-180

  2. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

  3. Evolutionary computation to explain deep learning models for time series forecasting

    Proceedings of the ACM Symposium on Applied Computing

  4. Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

    Lecture Notes in Networks and Systems

  5. Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

    Computers and Electronics in Agriculture, Vol. 215

  6. Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning

    Lecture Notes in Networks and Systems

2022

  1. Explainable machine learning for sleep apnea prediction

    Procedia Computer Science