Antonio
Morales Esteban
Publicaciones en las que colabora con Antonio Morales Esteban (24)
2024
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Emerging trends in big data analytics and natural disasters
Computers and Geosciences
2021
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Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia
Computers and Geosciences, Vol. 156
2019
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Big data and natural disasters: New approaches for spatial and temporal massive data analysis
Computers and Geosciences
2018
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Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment
Remote Sensing, Vol. 10, Núm. 3
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Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure
Computers and Geosciences, Vol. 115, pp. 198-210
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Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system
Central European Journal of Operations Research, Vol. 26, Núm. 3, pp. 739-758
2017
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Comparing seismic parameters for different source zone models in the Iberian Peninsula
Tectonophysics, Vol. 717, pp. 449-472
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Medium–large earthquake magnitude prediction in Tokyo with artificial neural networks
Neural Computing and Applications, Vol. 28, Núm. 5, pp. 1043-1055
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Using principal component analysis to improve earthquake magnitude prediction in Japan
Logic Journal of the IGPL, Vol. 25, Núm. 6, pp. 949-966
2016
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A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction
Knowledge-Based Systems, Vol. 101, pp. 15-30
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Comparison between Utsu's and Vere-Jones' aftershocks model by means of a computer simulation based on the acceptance-rejection sampling of von Neumann
Tectonophysics, Vol. 682, pp. 108-119
2015
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A novel method for seismogenic zoning based on triclustering: Application to the Iberian Peninsula
Entropy, Vol. 17, Núm. 7, pp. 5000-5021
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Detecting precursory patterns to enhance earthquake prediction in Chile
Computers and Geosciences, Vol. 76, pp. 112-120
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Improving earthquake prediction with principal component analysis: Application to Chile
Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
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Stability analysis of a slope subject to real accelerograms by finite elements. Application to San Pedro cliff at the Alhambra in Granada
Soil Dynamics and Earthquake Engineering, Vol. 69, pp. 28-45
2014
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A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning
Computers and Geosciences, Vol. 73, pp. 132-141
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Discovery of patterns preceding earthquakes in Chilean time series
INTERNATIONAL WORK-CONFERENCE ON TIME SERIES (ITISE 2014)
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Utilización de un sistema de información geográfica para el análisis de las zonificaciones sismogenéticas existentes
Nuevas técnicas, mismos fundamentos
2013
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Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
Knowledge-Based Systems, Vol. 50, pp. 198-210
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Earthquake prediction in seismogenic areas of the Iberian Peninsula based on computational intelligence
Tectonophysics, Vol. 593, pp. 121-134