Francisco Martínez-Álvarez
Orcid: 0000-0002-6309-1785
According to our database1,
Francisco Martínez-Álvarez
authored at least 117 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Comput. Geosci., January, 2024
2023
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting.
J. Big Data, December, 2023
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.
Int. J. Digit. Earth, December, 2023
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting.
Comput. Electron. Agric., December, 2023
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market.
Expert Syst. Appl., October, 2023
A new Apache Spark-based framework for big data streaming forecasting in IoT networks.
J. Supercomput., July, 2023
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer.
SoftwareX, July, 2023
A new approach based on association rules to add explainability to time series forecasting models.
Inf. Fusion, June, 2023
Inf. Sci., 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Evolutionary computation to explain deep learning models for time series forecasting.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning.
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
2022
Neural Comput. Appl., 2022
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting.
Knowl. Based Syst., 2022
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing, 2022
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2022
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng., 2022
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
A novel approach to discover numerical association based on the coronavirus optimization algorithm.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia.
Comput. Geosci., 2021
IEEE Access, 2021
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks.
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Soft Comput., 2020
Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management.
Remote. Sens., 2020
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.
Inf. Sci., 2020
Learning analytics for student modeling in virtual reality training systems: Lineworkers case.
Comput. Educ., 2020
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data, 2020
Big Data Res., 2020
Port-Hamiltonian Modeling of Multiphysics Systems and Object-Oriented Implementation With the Modelica Language.
IEEE Access, 2020
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
On the Performance of Deep Learning Models for Time Series Classification in Streaming.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Use of IT in Project-Based Learning Applied to the Subject Surveying in Civil Engineering.
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020
2019
Knowl. Based Syst., 2019
MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting.
Neurocomputing, 2019
Neurocomputing, 2019
Big data and natural disasters: New approaches for spatial and temporal massive data analysis.
Comput. Geosci., 2019
Expert Syst. J. Knowl. Eng., 2019
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System.
IEEE Access, 2019
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
Proceedings of the Advances in Computational Intelligence, 2019
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019
2018
A novel imputation methodology for time series based on pattern sequence forecasting.
Pattern Recognit. Lett., 2018
Big data time series forecasting based on nearest neighbours distributed computing with Spark.
Knowl. Based Syst., 2018
Inf. Sci., 2018
Integr. Comput. Aided Eng., 2018
Comput. Geosci., 2018
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure.
Comput. Geosci., 2018
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information.
Environ. Model. Softw., 2018
Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system.
Central Eur. J. Oper. Res., 2018
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
R J., 2017
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks.
Neural Comput. Appl., 2017
Using principal component analysis to improve earthquake magnitude prediction in Japan.
Log. J. IGPL, 2017
Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction.
Earth Sci. Informatics, 2017
Comput. Intell. Neurosci., 2017
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
Soft Comput., 2016
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.
Knowl. Based Syst., 2016
Improving a multi-objective evolutionary algorithm to discover quantitative association rules.
Knowl. Inf. Syst., 2016
Neurocomputing, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Short Term Earthquake Prediction in Hindukush Region Using Tree Based Ensemble Learning.
Proceedings of the International Conference on Frontiers of Information Technology, 2016
Proceedings of the Distributed Computing and Artificial Intelligence, 2016
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration.
Proceedings of the Advances in Artificial Intelligence, 2016
2015
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Neurocomputing, 2015
Comput. Geosci., 2015
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy, 2015
Proceedings of the 10th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2015
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015
2014
Neurocomputing, 2014
Neurocomputing, 2014
A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning.
Comput. Geosci., 2014
2013
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula.
Knowl. Based Syst., 2013
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2011
IEEE Trans. Knowl. Data Eng., 2011
An evolutionary algorithm to discover quantitative association rules in multidimensional time series.
Soft Comput., 2011
Pattern Recognit. Lett., 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the Advances in Artificial Intelligence, 2011
2010
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution.
Integr. Comput. Aided Eng., 2010
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps.
Proceedings of the Trends in Applied Intelligent Systems, 2010
2009
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Advances in Intelligent Data Analysis VIII, 2009
2008
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007