Francisco Martínez-Álvarez

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Alicia Troncoso (ORCID: 0000-0002-9...Full Professor, Data Science & Big Data Lab, Universidad Pablo de OlavideVerified email at upo.es
José C. RiquelmeUniversidad de SevillaVerified email at us.es
Gualberto Asencio-Cortés, Ph.D. (000...Universidad Pablo de Olavide, Sevilla, EspañaVerified email at upo.es
Antonio Morales-EstebanUniversity of SevilleVerified email at us.es
José Francisco Torres MaldonadoData Science & Big Data Lab, Pablo de Olavide UniversityVerified email at upo.es
Cristina Rubio-EscuderoSenior Lecturer, University of SevillaVerified email at us.es
María Martínez BallesterosUniversidad de SevillaVerified email at us.es
Jorge ReyesProfesor de Física, Universidad de ChileVerified email at uchile.cl
David Gutiérrez-AvilésUniversidad de SevillaVerified email at us.es
Rubén Pérez ChacónAssistant ProfessorVerified email at upo.es
Talat IqbalCentre for Earthquake Studies (CES)Verified email at ncp.edu.pk
Khawaja M. AsimGFZ German Research Center for GeosciencesVerified email at gfz-potsdam.de
Rudolf ScitovskiFull professor at the Department of Mathematics, University of OsijekVerified email at mathos.hr
Ricardo L. Talavera-Llames (0000-00...Universidad Pablo de Olavide, Sevilla, España.Verified email at upo.es
Irena KoprinskaSchool of Computer Science, University of SydneyVerified email at it.usyd.edu.au
Abderrazak SEBAAEcole Supérieure en Sciences et Technologies de l'Informatique et du Numérique -ESTIN- BejaiaVerified email at estin.dz
Dr. Neeraj Dhanraj BokdeProfessor (Asst.), Aarhus University, DenmarkVerified email at qgg.au.dk
José-Lázaro Amaro-MelladoUniversidad de SevillaVerified email at us.es
Laura Melgar-GarcíaPablo de Olavide UniversityVerified email at upo.es
Kishore KulatProfessor of Electronics & Communication Engineering, VNIT NagpurVerified email at ece.vnit.ac.in

Francisco Martínez-Álvarez

Data Science & Big Data Lab, Pablo de Olavide University of Seville, Spain

Verified email at upo.es - Homepage

Data mining Time series Geoinformatics Big data analytics


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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	292*	2011
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area DT Bui, ND Hoang, F Martínez-Álvarez, PTT Ngo, PV Hoa, TD Pham, ... Science of The Total Environment 701, 134413, 2020	236	2020
Neural networks to predict earthquakes in Chile J Reyes, A Morales-Esteban, F Martínez-Álvarez Applied Soft Computing 13 (2), 1314-1328, 2013	192	2013
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	182	2015
Deep learning for time series forecasting: a survey JF Torres, D Hadjout, A Sebaa, F Martínez-Álvarez, A Troncoso Big Data 9 (1), 3-21, 2021	178	2021
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	175	2019
Earthquake magnitude prediction in Hindukush region using machine learning techniques KM Asim, F Martínez-Álvarez, A Basit, T Iqbal Natural Hazards 85, 471-486, 2017	164	2017
A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data MS Tehrany, S Jones, F Shabani, F Martínez-Álvarez, D Tien Bui Theoretical and Applied Climatology 137, 637-653, 2019	122	2019
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	106	2018
Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ... Big data 8 (4), 308-322, 2020	104	2020
Earthquake prediction model using support vector regressor and hybrid neural networks KM Asim, A Idris, T Iqbal, F Martínez-Álvarez PloS one 13 (7), e0199004, 2018	99	2018
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	99	2013
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	95	2010
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	93	2015
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	92	2018
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, 1043-1055, 2017	83	2017
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure G Asencio–Cortés, A Morales–Esteban, X Shang, F Martínez–Álvarez Computers & Geosciences 115, 198-210, 2018	71	2018
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	70	2010
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	66	2013
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	65	2014

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