Publications

289 entries « 1 of 6 »

2022

D. Hadjout and J. F. Torres and A. Troncoso and A. Sebaa and F. Martínez-Álvarez

Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market (Journal Article)

Energy, 243 , pp. 123060, 2022.

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

F. Martínez-Álvarez and A. Troncoso and H. Quintián and E. Corchado

Special issue SOCO-CISIS 2019-IGPL (Journal Article)

Logig Journal of the IGPL, 30 (2), pp. 211-213, 2022.

(Links | BibTeX | Tags: )

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

A deep LSTM network for the Spanish electricity consumption forecasting (Journal Article)

Neural Computing and Applications, 2022.

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

F. Martínez-Álvarez and A. Troncoso and H. Quintián and E. Corchado

Special Issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems (Journal Article)

Neurocomputing, 470 , pp. 278-279, 2022.

(Links | BibTeX | Tags: )

L. Melgar-García and D. Gutiérrez-Avilés and M. T. Godinho and R. Espada and I. S. Brito and F. Martínez-Álvarez and A. Troncoso and C. Rubio-Escudero

A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture (Journal Article)

Neurocomputing, in press , 2022.

(BibTeX | Tags: big data, clustering, pattern recognition)

A. Gómez-Losada and G. Asencio-Cortés and N. Duch-Brown

Automatic Eligibility of Sellers in an Online Marketplace: A Case Study of Amazon Algorithm (Journal Article)

Information, 13 (44), pp. 1–16, 2022.

(Abstract | Links | BibTeX | Tags: feature selection, time series)

M.A. Castán-Lascorz and P. Jiménez-Herrera and A. Troncoso and G. Asencio-Cortés

A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting (Journal Article)

Information Sciences, 586 , pp. 611–627, 2022.

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

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

Streaming big time series forecasting based on nearest similar patterns with application to energy consumption (Journal Article)

Logic Journal of the IGPL, (in press) , pp. 1–20, 2022.

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

J. Roiz-Pagador and A. Chacon-Maldonado and R. Ruiz and G. Asencio-Cortes

Earthquake Prediction in California using Feature Selection techniques (Conference)

16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021), Advances in Intelligent Systems and Computing 2022.

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

G. Velázquez and F. Morales and M. García-Torres and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and F. Daumas-Ladouce and C. Ayala and D. Pinto-Roaand P. Gardel-Sotomayor

Distribution level Electric current consumption and meteorological data set of the East region of Paraguay (Journal Article)

Data in Brief, 40 , pp. 107699, 2022.

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

F. Morales and M. García-Torres and G. Velázquez and F. Daumas-Ladouce and P. Gardel-Sotomayor and F. Gómez-Vela and F. Divina and J.L. Vázquez Noguera and C. Sauer Ayala and D. Pinto-Roa

Analysis of Electric Energy Consumption Profiles Using a Machine Learning Approach: A Paraguayan Case Study (Journal Article)

Electronics, 11 (2), pp. 267, 2022.

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

S. Gómez-Guerrero and I. Ortiz and G. and Sosa-Cabrera and M. García-Torres and C.E. Schaerer

Measuring Interactions in Categorical Datasets Using Multivariate Symmetrical Uncertainty (Journal Article)

Entropy, 24 (1), pp. 64, 2022.

(Abstract | Links | BibTeX | Tags: feature selection)

C. Segarra-Martín and M. Martínez-Ballesteros and A. Troncoso and F. Martínez-Álvarez

A novel approach to discover numerical association based on the Coronavirus Optimization Algorithm (Conference)

SAC 37th Symposium On Applied Computing, 2022.

(Abstract | BibTeX | Tags: association rules)

2021

K.-T. T. Bui and J. F. Torres and D. Gutiérrez-Avilés and V. H. Nhu and F. Martínez-Álvarez and D. T. Bui

Deformation forecasting of a hydropower dam by hybridizing a Long Short-Term Memory deep learning network with the Coronavirus Optimization Algorithm (Journal Article)

Computer-Aided Civil and Infrastructure Engineering, in press , 2021.

(BibTeX | Tags: deep learning, time series)

R. Scitovski and K. Sabo and F. Martínez-Álvarez and S. Ungar

Cluster analysis and applications (Book)

Springer, 2021, ISBN: 978-3-030-74551-6.

(Abstract | Links | BibTeX | Tags: clustering)

J. F. Torres and M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso

Electricity consumption time series forecasting using Temporal Convolutional Networks (Conference)

Conference of the Spanish Association for Artificial Intelligence (CAEPIA'21), Lecture Notes in Artificial Intelligence 2021.

(BibTeX | Tags: deep learning, time series)

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

Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

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

D. Hadjout and J. F. Torres and A. Sebaa and F. Martínez-Álvarez

Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

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

M. J. Jiménez-Navarro and F. Martínez-Álvarez and A. Troncoso and G. Asencio-Cortés

HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2021.

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

M. A. Molina and M. J. Jiménez-Navarro and F. Martínez-Álvarez and G. Asencio-Cortés

A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery (Conference)

HAIS, 12886 , Lecture Notes in Computer Science 2021.

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

A. Morales-Esteban and F. Martínez-Álvarez and S. Scitovski and R. Scitovski

Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia (Journal Article)

Computers and Geosciences, 156 , pp. 104873, 2021.

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

J. F. Torres and D. Hadjout and A. Sebaa and F. Martínez-Álvarez and A. Troncoso

Deep Learning for Time Series Forecasting: A Survey (Journal Article)

Big Data, 9 (1), pp. 3-21, 2021.

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

R. Mortazavi and S. Mortazavi and A. Troncoso

Wrapper-based feature selection using regression trees to predict intrinsic viscosity of polymer (Journal Article)

Engineering with Computers, 2021.

(Abstract | Links | BibTeX | Tags: feature selection)

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach (Journal Article)

Information Sciences, 558 , pp. 174-193, 2021.

(Abstract | Links | BibTeX | Tags: big data, IoT, pattern recognition)

A. R. Troncoso-García and J. A. Ortega and R. Seepold and N. Martínez-Madrid

Non-invasive devices for respiratory sound monitoring (Conference)

KES International Conference on Knowledge Based and Intelligent information and Engineering Systems, 2021.

(Links | BibTeX | Tags: data streaming, IoT)

A. J. Pérez-Pulido and G. Asencio-Cortés and A. M. Brokate-Llanos and G. Brea-Calvo and M. R. Rodríguez-Griñolo and A. Garzón and M. J. Muñoz

Serial co-expression analysis of host factors from SARS-CoV viruses highly converges with former high-throughput screenings and proposes key regulators (Journal Article)

Briefings in Bioinformatics, 22 (2), pp. 1038–1052, 2021.

(Abstract | Links | BibTeX | Tags: bioinformatics)

M. A. Molina and G. Asencio-Cortés and J. C. Riquelme and F. Martínez-Álvarez

A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets (Conference)

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Advances in Intelligent Systems and Computing 2021.

(Links | BibTeX | Tags: deep learning, pattern recognition, transfer learning)

S.A. Grillo and J.C. Román and J.D. Mello-Román and J.L. Vázquez Noguera and M. García-Torres and F. Divina and P.E. Sotomayor

Adjacent Inputs With Different Labels and Hardness in Supervised Learning (Journal Article)

IEEE Access, pp. 162487–162498, 2021.

(Links | BibTeX | Tags: feature selection, pattern recognition)

R. Parra and V. Ojeda and J.L. Vázquez Noguera and M. García-Torres and J.C. Mello-Román and C. Villalba and J. Facon and F. Divina and O. Cardozo and V. Castillo

A Trust-Based Methodology to Evaluate Deep Learning Models for Automatic Diagnosis of Ocular Toxoplasmosis from Fundus Images (Journal Article)

Diagnostics, 11 (11), pp. 1951, 2021.

(Links | BibTeX | Tags: bioinformatics, deep learning, pattern recognition)

J. Ayala and M. García-Torres and J.L. Vázquez Noguera and F. Gómez-Vela and F. Divina

Technical analysis strategy optimization using a machine learning approach in stock market indices (Journal Article)

Knowledge-Based Systems, pp. 107119, 2021.

(Links | BibTeX | Tags: deep learning, pattern recognition)

P.M. Martínez-García and M. García-Torres and F. Divina and J. Terrón-Bautista and I. Delgado-Sainz and F. Gómez-Vela and F. Cortés-Ledesma

Genome-wide prediction of topoisomerase II $beta$ binding by architectural factors and chromatin accessibility (Journal Article)

PLoS computational biology, 17 (1), pp. e1007814, 2021.

(Links | BibTeX | Tags: bioinformatics)

A. Lopez-Fernandez and D. Rodriguez-Baena and F. Gomez-Vela and F. Divina and M. Garcia-Torres

A multi-GPU biclustering algorithm for binary datasets (Journal Article)

Journal of Parallel and Distributed Computing, 147 , pp. 209–219, 2021.

(Links | BibTeX | Tags: bioinformatics, clustering)

V.E. Castillo Benítez and I. Castro Matto and J.C. Mello Román and J.L. Vázquez Noguera and M. García-Torres and J. Ayala and D.P. Pinto-Roa and P.E. Gardel-Sotomayor and J. Facon and S.A. Grillo

Dataset from fundus images for the study of diabetic retinopathy (Journal Article)

Data in Brief, 36 , pp. 107068, 2021.

(Abstract | Links | BibTeX | Tags: bioinformatics)

H. Ho Shin and C. Sauer Ayala and P. Pérez-Estigarribia and S.A. Grillo and L. Segovia-Cabrera and M. García-Torres and C. Gaona and S. Irala and M.E. Pedrozo and G. Sequera and J.L. Vázquez Noguera and E. De Los Santos

A Mathematical Model for COVID-19 with Variable Transmissibility and Hospitalizations: A Case Study in Paraguay (Journal Article)

Applied Sciences, 11 (20), pp. 9726, 2021.

(Abstract | Links | BibTeX | Tags: bioinformatics)

F. Divina and F. Gómez-Vela and M. García-Torres

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast ()

2021.

(Links | BibTeX | Tags: energy)

Gaia Collaboration and M. García-Torres

Gaia Early Data Release 3-Acceleration of the Solar System from Gaia astrometry (Journal Article)

Astronomy & Astrophysics, 649 , pp. A9, 2021.

(Links | BibTeX | Tags: astrostatistics)

Gaia Collaboration and M. García-Torres

Gaia Early Data Release 3-The Galactic anticentre (Journal Article)

Astronomy & Astrophysics, 649 , pp. A8, 2021.

(Links | BibTeX | Tags: astrostatistics)

A. GA. Brown and A. Vallenari and T. Prusti and JHJ. De Bruijne and C. Babusiaux and M. Biermann and OL. Creevey and DW. Evans and L. Eyer and A. Hutton and M. García-Torres and others

Gaia Early Data Release 3-Summary of the contents and survey properties (Journal Article)

Astronomy & Astrophysics, 649 , pp. A1, 2021.

(Links | BibTeX | Tags: astrostatistics)

Gaia Collaboration and M. García-Torres

Gaia Early Data Release 3-Structure and properties of the Magellanic Clouds (Journal Article)

Astronomy & Astrophysics, 649 , pp. A7, 2021.

(Links | BibTeX | Tags: astrostatistics)

Gaia Collaboration and M. García-Torres

Gaia Early Data Release 3-The Gaia Catalogue of Nearby Stars (Journal Article)

Astronomy & Astrophysics, 649 , pp. A6, 2021.

(Links | BibTeX | Tags: astrostatistics)

L. Melgar-García and D. Gutiérrez-Avilés and C. Rubio-Escudero and A. Troncoso

Nearest neighbours-based forecasting for electricity demand time series in streaming (Conference)

Conference of the Spanish Association for Artificial Intelligence (CAEPIA'21), Lecture Notes in Artificial Intelligence 2021.

(Abstract | BibTeX | Tags: IoT, time series)

F. Pietrapiana and J. M. Feria-Dominguez and A. Troncoso

Applying wrapper-based variable selection techniques to predict MFIs profitability: evidence from Peru (Journal Article)

Journal of Development Effectiveness, 2021.

(Abstract | Links | BibTeX | Tags: feature selection)

2020

P. Jiménez-Herrera and L. Melgar-García and G. Asencio-Cortés and A. Troncoso

A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series (Conference)

HAIS 15th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2020.

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

Y. Lin and I. Koprinska and M. Rana and A. Troncoso

Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning (Conference)

ICANN 29th International Conference on Artificial Neural Networks, Lecture Notes in Computer Science 2020.

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

L. Melgar-García and M. T. Godinho and R. Espada and D. Gutiérrez-Avilés and I. S. Brito and F. Martínez-Álvarez and A. Troncoso and C. Rubio-Escudero

Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering (Conference)

SOCO 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, Advances in Intelligent Systems and Computing 2020.

(Links | BibTeX | Tags: IoT, pattern recognition)

O. Mitxelena-Hoyos and J. L. Amaro-Mellado and F. Martínez-Álvarez

Use of IT in Project-Based Learning Applied to the Subject Surveying in Civil Engineering (Conference)

ICEUTE 11th International Conference on European Transnational Education, 1266 , Advances in Intelligent Systems and Computing 2020.

(Abstract | Links | BibTeX | Tags: education)

F. Divina and J. F. Torres and M. García-Torres and F. Martínez-Álvarez and A. Troncoso

Hybridizing deep learning and neuroevolution: Application to the Spanish short-term electric energy consumption forecasting (Journal Article)

Applied Sciences, 10 (16), pp. 5487, 2020.

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

F. Martínez-Álvarez and G. Asencio-Cortés and J. F. Torres and D. Gutiérrez-Avilés and L. Melgar-García and R. Pérez-Chacón and C. Rubio-Escudero and A. Troncoso and J. C. Riquelme

Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model (Journal Article)

Big Data, 8 (4), pp. 308-322, 2020.

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

R. Pérez-Chacón and G. Asencio-Cortés and F. Martínez-Álvarez and A. Troncoso

Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand (Journal Article)

Information Sciences, 540 , pp. 160-174, 2020.

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

M. Nazeriye and A. Haeri and F. Martínez-Álvarez

Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption - A Data Mining Approach (Journal Article)

Applied Sciences, 10 (10), pp. 3589, 2020.

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

289 entries « 1 of 6 »