Francisco
Martínez Álvarez
Publicacions (167) Publicacions de Francisco Martínez Álvarez
2024
-
Emerging trends in big data analytics and natural disasters
Computers and Geosciences
-
Explaining deep learning models for ozone pollution prediction via embedded feature selection
Applied Soft Computing, Vol. 157
-
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption
Future Generation Computer Systems, Vol. 154, pp. 397-412
2023
-
A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia
Energies, Vol. 16, Núm. 5
-
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia
Lecture Notes in Networks and Systems
-
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)
-
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal
Proceedings of the ACM Symposium on Applied Computing
-
A new Apache Spark-based framework for big data streaming forecasting in IoT networks
Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100
-
A new approach based on association rules to add explainability to time series forecasting models
Information Fusion, Vol. 94, pp. 169-180
-
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting
Journal of Big Data, Vol. 10, Núm. 1
-
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
-
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
-
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)
-
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market
Expert Systems with Applications, Vol. 227
-
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
-
Evolutionary computation to explain deep learning models for time series forecasting
Proceedings of the ACM Symposium on Applied Computing
-
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem
Lecture Notes in Networks and Systems
-
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting
Computers and Electronics in Agriculture, Vol. 215
-
Explaining Learned Patterns in Deep Learning by Association Rules Mining
Lecture Notes in Networks and Systems
-
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer
SoftwareX, Vol. 23