Francisco Martínez-Álvarez
Francisco Martínez-Álvarez
Data Science & Big Data Lab, Pablo de Olavide University of Seville, Spain
Verified email at upo.es - Homepage
Title
Cited by
Cited by
Year
Energy time series forecasting based on pattern sequence similarity
F Martinez Alvarez, A Troncoso, J Riquelme, J Aguilar Ruiz
IEEE Transactions on Knowledge and Data Engineering 23 (8), 1230-1243, 2011
219*2011
Neural networks to predict earthquakes in Chile
J Reyes, A Morales-Esteban, F Martínez-Álvarez
Applied Soft Computing 13 (2), 1314-1328, 2013
1232013
A survey on data mining techniques applied to electricity-related time series forecasting
F Martínez-Álvarez, A Troncoso, G Asencio-Cortés, JC Riquelme
Energies 8 (11), 13162-13193, 2015
1002015
Pattern recognition to forecast seismic time series
A Morales-Esteban, F Martínez-Álvarez, A Troncoso, JL Justo, ...
Expert Systems with Applications 37 (12), 8333-8342, 2010
752010
Earthquake magnitude prediction in Hindukush region using machine learning techniques
KM Asim, F Martínez-Álvarez, A Basit, T Iqbal
Natural Hazards 85 (1), 471-486, 2017
632017
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
F Martínez-Álvarez, J Reyes, A Morales-Esteban, C Rubio-Escudero
Knowledge-Based Systems 50, 198-210, 2013
632013
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution
M Martínez-Ballesteros, A Troncoso, F Martínez-Álvarez, JC Riquelme
Integrated Computer-Aided Engineering 17 (3), 227-242, 2010
632010
Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence
A Morales-Esteban, F Martínez-Álvarez, J Reyes
Tectonophysics 593, 121-134, 2013
492013
An evolutionary algorithm to discover quantitative association rules in multidimensional time series
M Martínez-Ballesteros, F Martínez-Álvarez, A Troncoso, JC Riquelme
Soft Computing 15 (10), 2065, 2011
472011
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
J García-Gutiérrez, F Martínez-Álvarez, A Troncoso, JC Riquelme
Neurocomputing 167, 24-31, 2015
452015
A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning
A Morales-Esteban, F Martínez-Álvarez, S Scitovski, R Scitovski
Computers & Geosciences 73, 132-141, 2014
452014
Detecting precursory patterns to enhance earthquake prediction in Chile
E Florido, F Martínez-Álvarez, A Morales-Esteban, J Reyes, ...
Computers & Geosciences 76, 112-120, 2015
432015
Partitioning-clustering techniques applied to the electricity price time series
F Martínez-Álvarez, A Troncoso, JC Riquelme, JM Riquelme
International Conference on Intelligent Data Engineering and Automated …, 2007
422007
Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks
G Asencio-Cortés, F Martínez-Álvarez, A Troncoso, A Morales-Esteban
Neural Computing and Applications 28 (5), 1043-1055, 2017
412017
Multi-step forecasting for big data time series based on ensemble learning
A Galicia, R Talavera-Llames, A Troncoso, I Koprinska, ...
Knowledge-Based Systems 163, 830-841, 2019
402019
A scalable approach based on deep learning for big data time series forecasting
JF Torres, A Galicia, A Troncoso, F Martínez-Álvarez
Integrated Computer-Aided Engineering 25 (4), 335-348, 2018
402018
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction
G Asencio-Cortés, F Martínez-Álvarez, A Morales-Esteban, J Reyes
Knowledge-Based Systems 101, 15-30, 2016
402016
Big data analytics for discovering electricity consumption patterns in smart cities
R Pérez-Chacón, JM Luna-Romera, A Troncoso, F Martínez-Álvarez, ...
Energies 11 (3), 683, 2018
392018
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series
I Koprinska, M Rana, A Troncoso, F Martínez-Álvarez
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
382013
LBF: A labeled-based forecasting algorithm and its application to electricity price time series
F Martínez–Álvarez, A Troncoso, JC Riquelme, JS Aguilar–Ruiz
2008 Eighth IEEE International Conference on Data Mining, 453-461, 2008
372008
The system can't perform the operation now. Try again later.
Articles 1–20