Publications

249 entries « 2 of 5 »

2019

R. Talavera-Llames and R. Pérez-Chacón and A. Troncoso and F. Martínez-Álvarez

MV-kWNN: A novel multivariate and multi-output weighted nearest neighbors algorithm for big data time series forecasting (Journal Article)

Neurocomputing, 353 , pp. 56-73, 2019.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

2018

C. Rubio-Escudero and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses (Conference)

ICEUTE 9th International Conference on European Transnational Education, 771 , Advances in Intelligent Systems and Computing 2018.

(Abstract | Links | BibTeX | Tags: education)

X. Shang and X. Li and A. Morales-Esteban and G. Asencio-Cortes and Z. Wang

Data field-based K-means clustering for spatio-temporal seismicity analysis and hazard assessment (Journal Article)

Remote Sensing, 10 (461), pp. 1-22, 2018, ISSN: 2072-4292.

(Abstract | Links | BibTeX | Tags: natural disasters, time series)

G. Asencio-Cortes and A. Morales-Esteban and X. Shang and F. Martinez-Alvarez

Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure (Journal Article)

Computers and Geosciences, (115), pp. 198-210, 2018, ISSN: 0098-3004.

(Abstract | Links | BibTeX | Tags: big data, natural disasters, time series)

A. Gomez-Losada and G. Asencio-Cortes and F. Martinez-Alvarez and J. C. Riquelme

A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information (Journal Article)

Environmental Modelling and Software, (110), pp. 52-61, 2018, ISSN: 1364-8152.

(Links | BibTeX | Tags: time series)

N. Bokde and Marcus W. Beck and F. Martínez-Álvarez and K. Kulat

A novel imputation methodology for time series based on pattern sequence forecasting (Journal Article)

Pattern Recognition Letters, 116 , pp. 88-96, 2018.

(Abstract | Links | BibTeX | Tags: time series)

M. S. Tehrany and S. Jones and F. Shabani and F. Martínez-Álvarez and D. Tien Bui

A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data (Journal Article)

Theoretical and Applied Climatology, 2018.

(Abstract | Links | BibTeX | Tags: natural disasters)

K. Asim and A. Idris and T. Iqbal and F. Martínez-Álvarez

Earthquake prediction model using support vector regressor and hybrid neural networks (Journal Article)

PLOS ONE, 13 (7), pp. 1-22, 2018.

(Abstract | Links | BibTeX | Tags: )

K. Asim and A. Idris and T. Iqbal and F. Martínez-Álvarez

Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification (Journal Article)

Soil Dynamics and Earthquake Engineering, 111 , pp. 1-7, 2018.

(Abstract | Links | BibTeX | Tags: natural disasters)

J. L. Amaro-Mellado and A. Morales-Esteban and F. Martínez-Álvarez

Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system (Journal Article)

Central European Journal of Operations Research, 26 (3), pp. 739-758, 2018.

(Abstract | Links | BibTeX | Tags: natural disasters)

J. M. C. Estêvao and M. A. Ferreira and A. Morales-Esteban and F. Martínez-Álvarez and L. Sá and C. S. Oliveira

Earthquake Resilient Schools in Algarve (Portugal) and Huelva (Spain) (Conference)

European Conference on Earthquake Engineering (ECEE'18), 2018.

(Links | BibTeX | Tags: natural disasters)

F. Divina and A. Gilson and F. Goméz-Vela and M. García-Torres and J. F. Torres

Stacking ensemble learning for short-term electricity consumption forecasting (Journal Article)

Energies, 11 (4), pp. 949, 2018.

(Abstract | Links | BibTeX | Tags: energy, time series)

G. Sosa-Cabrera and M. García-Torres and S. Gómez Guerrero and C.E. Schaerer and F. Divina

Understanding a multivariate semi-metric in the search strategies for attributes subset selection (Conference)

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics, 2018.

(Links | BibTeX | Tags: feature selection)

P. Manuel Martínez-García and M. García-Torres and F. Divina and F. Gómez-Vela and F. Cortés-Ledesma

Analysis of Relevance and Redundance on Topoisomerase 2b (TOP2B) Binding Sites: A Feature Selection Approach (Conference)

International Conference on the Applications of Evolutionary Computation, 2018.

(Links | BibTeX | Tags: bioinformatics)

D. Gutiérrez-Avilés and R. Giráldez and F. J. Gil-Cumbreras and C. Rubio-Escudero

TRIQ: a new method to evaluate triclusters (Journal Article)

BioData Mining, 11 (1), pp. 15, 2018.

(Abstract | Links | BibTeX | Tags: bioinformatics, time series)

A. Troncoso and P. Ribera and G. Asencio-Cortés and I. Vega and D. Gallego

Imbalanced classification techniques for monsoon forecasting based on a new climatic time series (Journal Article)

Environmental Modelling & Software, 106 (6), pp. 48-56, 2018.

(Abstract | Links | BibTeX | Tags: time series)

R. Pérez-Chacón and J. M. Luna and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Big data analytics for discovering electricity consumption patterns in smart cities (Journal Article)

Energies, 11 (3), pp. 683, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

J. A. Nepomuceno and A. Troncoso and J. S. Aguilar-Ruiz

Pairwise gene GO-based measures for biclustering of high-dimensional expression data (Journal Article)

BioData Mining, 11 (4), 2018.

(Abstract | Links | BibTeX | Tags: bioinformatics)

A. Galicia and J. F. Torres and F. Martínez-Álvarez and A. Troncoso

A novel Spark-based multi-step forecasting algorithm for big data time series (Journal Article)

Information Sciences, 467 , pp. 800-818, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

R. Talavera-Llames and R. Pérez-Chacón and A. Troncoso and F. Martínez-Álvarez

Big data time series forecasting based on nearest neighbors distributed computing with Spark (Journal Article)

Knowledge-Based Systems, 161 (1), pp. 12-25, 2018.

(Abstract | Links | BibTeX | Tags: big data, energy, time series)

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Data Science and Big Data in Energy Forecasting (Journal Article)

Energies, 11 (11), pp. 3224, 2018.

(Links | BibTeX | Tags: big data, energy)

J. F. Torres and A. Galicia and A. Troncoso and F. Martínez-Álvarez

A scalable approach based on deep learning for big data time series forecasting (Journal Article)

Integrated Computer-Aided Engineering, 25 (4), pp. 335-348, 2018.

(Abstract | Links | BibTeX | Tags: deep learning, energy, time series)

D. Gutiérrez-Avilés and J. A. Fábregas and J. Tejedor and F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

SmartFD: A real big data application for electrical fraud detection (Conference)

HAIS 13th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2018.

(Links | BibTeX | Tags: big data, energy)

J. F. Torres and A. Troncoso and I. Koprinska and Z. Wang and F. Martínez-Álvarez

Deep learning for big data time series forecasting applied to solar power (Conference)

SOCO 13th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2018.

(Links | BibTeX | Tags: deep learning, energy, time series)

Z. Wang and I. Koprinska and A. Troncoso and F. Martínez-Álvarez

Static and dinamic ensembles of neural networks for power solar forecasting (Conference)

IJCNN International Joint Conference on Neural Networks, 2018.

(BibTeX | Tags: energy, time series)

E. Pereda and M. García-Torres and B. Melián and S. Ma~nas and L. Méndez and J. González

The Blessing of Dimensionality: Feature Selection Outperforms Functional Connectivity-based Feature Transformation to Classify ADHD Subjects from EEG Patterns of Phase Synchronisation (Journal Article)

PLoS ONE, 13 (8), 2018.

(Links | BibTeX | Tags: bioinformatics)

M. García-Torres and Gaia collaboration

Gaia Data Release 2. Observational Hertzsprung-Russell diagrams (Journal Article)

Astronomy & Astrophysics, 616 (A10), 2018.

(Links | BibTeX | Tags: astrostatistics)

M. García-Torres and Gaia collaboration

Gaia Data Release 2. Summary of the contents and survey properties (Journal Article)

Astronomy & Astrophysics, 616 (A1), 2018.

(Links | BibTeX | Tags: astrostatistics)

M. García-Torres and Gaia collaboration

Gaia Data Release 2. Observations of Solar System Objects (Journal Article)

Astronomy & Astrophysics, 616 (A13), 2018.

(Links | BibTeX | Tags: astrostatistics)

M. García-Torres and Gaia collaboration

Gaia Data Release 2. Mapping the milky way disc kinematics (Journal Article)

Astronomy & Astrophysics, 616 (A11), 2018.

(Links | BibTeX | Tags: astrostatistics)

M. García-Torres and Gaia collaboration

Gaia Data Release 2. The celestial reference frame (Gaia-CRF2) (Journal Article)

Astronomy & Astrophysics, 616 (A14), 2018.

(Links | BibTeX | Tags: astrostatistics)

E. Florido and G. Asencio-Cortes and J. L. Aznarte and C. Rubio-Escudero and F. Martinez-Alvarez

A novel tree-based algorithm to discover seismic patterns in earthquake catalogs (Journal Article)

Computers and Geosciences, (115), pp. 96-104, 2018, ISSN: 0098-3004.

(Abstract | Links | BibTeX | Tags: natural disasters, time series)

2017

K. Asim and M. Awais and F. Martínez-Álvarez and T. Iqbal

Seismic activity prediction using computational intelligence techniques in northern Pakistan (Journal Article)

Acta Geophysica, 65 (5), pp. 919-930, 2017.

(Abstract | Links | BibTeX | Tags: natural disasters)

K. Asim and F. Martínez-Álvarez and A. Basit and T. Iqbal

Earthquake magnitude prediction in Hindukush region using machine learning techniques (Journal Article)

Natural Hazards, 85 (1), pp. 471-486, 2017.

(Abstract | Links | BibTeX | Tags: natural disasters)

J. F. Torres and A. Troncoso and F. Martínez-Álvarez

Deep Learning - Based Approach for Time Series Forecasting with Application to Electricity Load (Conference)

IWINAC International Work-Conference on the Interplay Between Natural and Artificial Computation, Lecture Notes in computer Science 2017.

(Links | BibTeX | Tags: deep learning, energy, time series)

A. Galicia and J. F. Torres and F. Martínez-Álvarez and A. Troncoso

Scalable Forecasting Techniques Applied to Big Electricity Time Series (Conference)

IWANN International Work-Conference on Artificial Neural Networks, Lecture Notes in Computer Science 2017.

(Links | BibTeX | Tags: big data, energy, time series)

O. Luaces and J. Díez and A. Alonso-Betanzos and A. Troncoso and A. Bahamonde

Content-based methods in peer assessment of open-response questions to grade students as authors and as graders (Journal Article)

Knowledge-Based Systems, 117 , pp. 79-87, 2017.

(Abstract | Links | BibTeX | Tags: big data)

G. Asencio-Cortés and F. Martínez-Álvarez and A. Morales-Esteban and J. Reyes and A. Troncoso

Using principal component analysis to improve earthquake magnitude prediction in Japan (Journal Article)

Logical Journal of the IGPL, 25 (6), pp. 949-966, 2017.

(Abstract | Links | BibTeX | Tags: natural disasters)

G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso and A. Morales-Esteban

Medium-Large earthquake magnitude prediction in Tokyo with artificial neural networks (Journal Article)

Neural Computing and Applications, 28 (5), pp. 1043-1055, 2017.

(Abstract | Links | BibTeX | Tags: natural disasters)

F. Martínez-Álvarez and A. Troncoso and J. C. Riquelme

Recent Advances in energy Time Series Forecasting (Journal Article)

Energies, 10 (6), pp. 809, 2017.

(Abstract | Links | BibTeX | Tags: energy, time series)

F. Martínez-Álvarez and A. Troncoso and J. Reyes and M. Martínez-Ballesteros and J. C. Riquelme

Applications of computational intelligence in Time Series (Journal Article)

Computational Intelligence and Neuroscience, article id 9361749 , 2017.

(Links | BibTeX | Tags: time series)

M. J. Fernández-Gómez and G. Asencio-Cortés and A. Troncoso and F. Martínez-Álvarez

Large earthquake magnitude prediction in Chile with imbalanced classifiers and ensemble learning (Journal Article)

Applied Sciences, 7 (6), pp. 625, 2017.

(Abstract | Links | BibTeX | Tags: natural disasters)

N. Bokde and A. Troncoso and G. Asencio-Cortés and K. Kulat and F. Martínez-Álvarez

Pattern sequence similarity based techniques for wind speed forecasting (Conference)

ITISE International Work-Conference on Time Series Analysis, 2017.

(BibTeX | Tags: time series)

M. García-Torres and Gaia collaboration

Gaia Data Release 1. Open cluster astrometry: performance, limitations, and future prospects (Journal Article)

Astronomy & Astrophysics, 601 (A19), 2017.

(Links | BibTeX | Tags: astrostatistics)

M. García-Torres and Gaia collaboration

Gaia Data Release 1. Testing the parallaxes with local Cepheids and RR Lyrae stars (Journal Article)

Astronomy & Astrophysics, 605 (A79), 2017.

(Links | BibTeX | Tags: astrostatistics)

N. Bokde and G. Asencio-Cortes and F. Martinez-Alvarez and K. Kulat

PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm (Journal Article)

R Journal, 1 (9), pp. 324-333, 2017, ISSN: 2073-4859.

(Abstract | BibTeX | Tags: time series)

G. Asencio-Cortes and S. Scitovski and R. Scitovski and F. Martinez-Alvarez

Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction (Journal Article)

Earth Science Informatics, 3 (10), pp. 303-320, 2017, ISSN: 1865-0481.

(Links | BibTeX | Tags: natural disasters, time series)

J. L. Amaro-Mellado and A. Morales-Esteban and G. Asencio-Cortes and F. Martinez-Alvarez

Comparing seismic parameters for different source zone models in the Iberian Peninsula (Journal Article)

Tectonophysics, (717), pp. 449-472, 2017, ISSN: 0040-1951.

(Abstract | Links | BibTeX | Tags: natural disasters, time series)

2016

M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez and J. C. Riquelme

Improving a multi-objective evolutionary algorithm to discover quantitative association rules (Journal Article)

Knowledge and Information Systems, 49 , pp. 481-509, 2016.

(Links | BibTeX | Tags: association rules)

G. Asencio-Cortés and E. Florido and A. Troncoso and F. Martínez-Álvarez

A novel methodology to predict urban traffic congestion with ensemble learning (Journal Article)

Knowledge and Information Systems, 20 , pp. 4205–4216, 2016.

(Links | BibTeX | Tags: time series)

249 entries « 2 of 5 »