Publicaciones (175) Publicaciones de Alicia Troncoso Lora

2024

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

    Expert Systems with Applications, Vol. 247

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

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

  3. Water consumption time series forecasting in urban centers using deep neural networks

    Applied Water Science, Vol. 14, Núm. 2

2023

  1. A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

    Lecture Notes in Networks and Systems

  2. 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)

  3. A new Apache Spark-based framework for big data streaming forecasting in IoT networks

    Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100

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

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

  5. A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

    Information Fusion, Vol. 95, pp. 163-173

  6. A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area

    International Journal of Digital Earth, Vol. 16, Núm. 1, pp. 3661-3679

  7. Contexto europeo de la Inteligencia Artificial

    Escritura pública, Núm. 142

  8. 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)

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

    Proceedings of the ACM Symposium on Applied Computing

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

    Lecture Notes in Networks and Systems

  11. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem

    Lecture Notes in Networks and Systems

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

    Computers and Electronics in Agriculture, Vol. 215

  13. FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

    SoftwareX, Vol. 23

  14. Identification of Anomalies in Urban Sound Data with Autoencoders

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

  15. Identifying novelties and anomalies for incremental learning in streaming time series forecasting

    Engineering Applications of Artificial Intelligence, Vol. 123

  16. Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment

    Lecture Notes in Networks and Systems

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

    Lecture Notes in Networks and Systems