Pattern recognition to forecast seismic time series. - A. Morales-Esteban; Francisco Martínez-Álvarez; Alicia Troncoso Lora; J. L. Justo; Cristina Rubio-Escudero (Expert Syst. Appl., 2010)

Computational Intelligence Techniques for Predicting Earthquakes. - Francisco Martínez-Álvarez; Alicia Troncoso Lora; A. Morales-Esteban; José C. Riquelme (HAIS (2), 2011)

Neural networks to predict earthquakes in Chile. - Jorge Reyes; A. Morales-Esteban; Francisco Martínez-Álvarez (Appl. Soft Comput., 2013)

Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula. - Francisco Martínez-Álvarez; Jorge Reyes; A. Morales-Esteban; Cristina Rubio-Escudero (Knowl. Based Syst., 2013)

A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning. - Antonio Morales-Esteban; Francisco Martínez-Álvarez; Sanja Scitovski; Rudolf Scitovski (Comput. Geosci., 2014)

Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Antonio Morales-Esteban; Jorge Reyes; Alicia Troncoso Lora (HAIS, 2015)

A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula. - Francisco Martínez-Álvarez; David Gutiérrez-Avilés; Antonio Morales-Esteban; Jorge Reyes; José L. Amaro-Mellado; Cristina Rubio-Escudero (Entropy, 2015)

Detecting precursory patterns to enhance earthquake prediction in Chile. - Emilio Florido; Francisco Martínez-Álvarez; Antonio Morales-Esteban; Jorge Reyes; José Luis Aznarte-Mellado (Comput. Geosci., 2015)

A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; A. Morales-Esteban; Jorge Reyes (Knowl. Based Syst., 2016)

Identifying P phase arrival of weak events: The Akaike Information Criterion picking application based on the Empirical Mode Decomposition. - Xibing Li; Xueyi Shang; A. Morales-Esteban; Zewei Wang (Comput. Geosci., 2017)

Using principal component analysis to improve earthquake magnitude prediction in Japan. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; A. Morales-Esteban; Jorge Reyes; Alicia Troncoso Lora (Log. J. IGPL, 2017)

Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks. - Gualberto Asencio-Cortés; Francisco Martínez-Álvarez; Alicia Troncoso Lora; A. Morales-Esteban (Neural Comput. Appl., 2017)

Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system. - José L. Amaro-Mellado; Antonio Morales-Esteban; Francisco Martínez-Álvarez (Central Eur. J. Oper. Res., 2018)

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure. - Gualberto Asencio-Cortés; Antonio Morales-Esteban; Xueyi Shang; Francisco Martínez-Álvarez (Comput. Geosci., 2018)

Data Field-Based K-Means Clustering for Spatio-Temporal Seismicity Analysis and Hazard Assessment. - Xueyi Shang; Xibing Li; Antonio Morales-Esteban; Gualberto Asencio-Cortés; Zewei Wang (Remote. Sens., 2018)

Big data and natural disasters: New approaches for spatial and temporal massive data analysis. - Francisco Martínez-Álvarez; A. Morales-Esteban (Comput. Geosci., 2019)

Classroom Improvement Cycle in Architecture by Means of Problem-Based Learning. - Maria-Victoria Requena-Garcia-Cruz; Antonio Morales-Esteban (ICEUTE, 2020)

Game-Based Student Response System Applied to Soil Mechanics and Foundations. - Maria-Victoria Requena-Garcia-Cruz; Emilio Romero-Sánchez; Antonio Morales-Esteban (CISIS-ICEUTE, 2021)

Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia. - Antonio Morales-Esteban; Francisco Martínez-Álvarez; Sanja Scitovski; Rudolf Scitovski (Comput. Geosci., 2021)

Emerging trends in big data analytics and natural disasters. - Francisco Martínez-Álvarez; Rudolf Scitovski; Cristina Rubio-Escudero; Antonio Morales-Esteban (Comput. Geosci., 2024)