Publicaciones (534) Publicaciones en las que ha participado algún/a investigador/a

2023

  1. Preface

    Lecture Notes in Networks and Systems

  2. Preface

    Lecture Notes in Networks and Systems

  3. Dataset of fundus images for the diagnosis of ocular toxoplasmosis

    Data in Brief

  4. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection

    Lecture Notes in Networks and Systems

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

    Lecture Notes in Networks and Systems

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

    Lecture Notes in Networks and Systems

  7. Ultracool dwarfs in Gaia DR3

    Astronomy and Astrophysics, Vol. 669

  8. Streaming big time series forecasting based on nearest similar patterns with application to energy consumption

    Logic Journal of the IGPL, Vol. 31, Núm. 2, pp. 255-270

  9. PHILNet: A novel efficient approach for time series forecasting using deep learning

    Information Sciences, Vol. 632, pp. 815-832

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

    Engineering Applications of Artificial Intelligence, Vol. 123

  11. Evolutionary feature selection on high dimensional data using a search space reduction approach

    Engineering Applications of Artificial Intelligence, Vol. 117

  12. Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market

    Expert Systems with Applications, Vol. 227

  13. Creating a homogenized earthquake catalog for Algeria and mapping the main seismic parameters using a geographic information system

    Journal of African Earth Sciences, Vol. 201

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

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

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

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

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

    Journal of Supercomputing

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

    Energies, Vol. 16, Núm. 5

2022

  1. A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting

    Information Sciences, Vol. 586, pp. 611-627

  2. A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture

    Neurocomputing, Vol. 500, pp. 268-278

  3. A deep LSTM network for the Spanish electricity consumption forecasting

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10533-10545