Publications

315 entries « 1 of 7 »

2023

O. S. Mazari and A. Sebaa and J. L. Amaro-Mellado and F. Martínez-Álvarez

Creating a homogenized earthquake catalog for Algeria and mapping the main seismic parameters using a geographic information system (Journal Article)

Journal of African Earth Sciences, 201 , pp. 104859, 2023.

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

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

PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep Learning (Journal Article)

Information Sciences, in press , 2023.

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

D. Azzouguer and A. Sebaa and D. Hadjout and F. Martínez-Álvarez

Fraud Detection of Electricity Consumption using Robust Exponential and Holt-Winters Smoothing method (Conference)

IEEE International Conference on Advanced Systems and Emergent Technologies, 2023.

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

E. T. Habtemariam and K. Kekeba and M. Martínez-Ballesteros and F. Mártinez-Álvarez

A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia (Journal Article)

Energies, 16 , pp. 2317, 2023.

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

A. M.Fernández and D. Gutiérrez-Avilés and A. Troncoso and F. Mártinez-Álvarez

A new Apache Spark-based framework for big data streaming forecasting in IoT networks (Journal Article)

Journal of Supercomputing, pp. 1-23, 2023.

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

A. R. Troncoso-García and M. Martínez-Ballesteros and F. Mártinez-Álvarez and A. Troncoso

A new approach based on association rules to add explainability to time series forecasting models (Journal Article)

Information Fusion, 94 , pp. 169-180, 2023.

(Abstract | Links | BibTeX | Tags: association rules, time series, XAI)

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and F. Mártinez-Álvarez and A. Troncoco and G. Asencio-Cortés

From Simple to Complex: A Sequential Method for Enhancing Time Series Forecasting with Deep Learning (Journal Article)

Logic Journal of the IGPL, in press , 2023.

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

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

Dataset of fundus images for the diagnosis of ocular toxoplasmosis (Journal Article)

Data in Brief, pp. 109056, 2023.

(Abstract | Links | BibTeX | Tags: bioinformatics)

M. García-Torres and R. Ruiz and F. Divina

Evolutionary feature selection on high dimensional data using a search space reduction approach (Journal Article)

Engineering Applications of Artificial Intelligence, 117 , pp. 105556, 2023.

(Abstract | Links | BibTeX | Tags: big data, feature selection)

Gaia Collaboration

Gaia Data Release 3: Mapping the asymmetric disc of the Milky Way (Journal Article)

Astronomy and Astrophysics, 2023.

(Abstract | Links | BibTeX | Tags: astrostatistics)

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

Identifying novelties and anomalies for incremental learning in streaming time series forecasting (Journal Article)

Engineering Applications of Artificial Intelligence, 123 , pp. 106326, 2023.

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

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

A novel distributed forecasting method based on information fusion and incremental learning for streaming time series (Journal Article)

Information Fusion, 95 , pp. 163-173, 2023.

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

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

Embedded temporal feature selection for time series forecasting using deep learning (Conference)

2023.

(BibTeX | Tags: deep learning, feature selection, time series)

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and I. S. Sousa Brito and F. Martínez-Álvarez and G. Asencio-Cortés

A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal (Conference)

8th ACM/SIGAPP Symposium on Applied Computing (SAC ’23), ACM 2023.

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

2022

M. Á. Molina and M. J. Jiménez-Navarro and R. Arjona and F. Mártinez-Álvarez and G. Asencio-Cortés

DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting (Journal Article)

Knowledge-Based Systems, 254 , pp. 109644, 2022.

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

A. M. Chacón-Maldonado and M. A. Molina and A. Troncoso and F. Martínez-Álvarez and G. Asencio-Cortés

Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning (Conference)

13469 , Lecture Notes in Computer Science 2022.

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

A. R. Troncoso-García and M. Martínez-Ballesteros and F. Martínez-Álvarez and A. Troncoso

Explainable machine learning for sleep apnea prediction (Conference)

KES International Conference on Knowledge Based and Intelligent information and Engineering Systems, 2022.

(Abstract | Links | BibTeX | Tags: association rules, deep learning, time series, XAI)

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, 34 , pp. 10533-10545, 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: )

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: energy, pattern recognition, 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, 31 (2), pp. 255-270, 2022.

(Abstract | Links | BibTeX | Tags: energy, IoT, 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)

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)

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, 500 , pp. 268-278, 2022.

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

J. A. Gallardo-Gómez and F. Divina and A. Troncoso and F. Martínez-Álvarez

Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem (Conference)

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, Lecture Notes in Computer Science 2022.

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

F. Delgado-Chaves and P. M. Martínez-García and A. Herrero-Ruiz and F. Gómez-Vela and F. Divina and S. Jimeno-González and F. Cortés-Ledesma

Data of transcriptional effects of the merbarone-mediated inhibition of TOP2 (Journal Article)

Data in Brief, 44 , pp. 108499, 2022.

(Abstract | Links | BibTeX | Tags: bioinformatics)

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: big data, energy, time series)

J. A. Gallardo and M. García-Torres and F. Gómez-Vela and F. Morales and F. Divina and D. Becerra-Alonso and G. Velázquez and F. Daumas-Ladouce and J. L. Vázquez Noguera and C. Ayala Sauer

Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach (Conference)

SOCO 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 1401 , Advances in Intelligent Systems and Computing 2022.

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

P. Mugariri and H. Abdullah and M. García-Torres and B.D. Parameshchari and K.N. Abdul-Sattar

Promoting Information Privacy Protection Awareness for Internet of Things (IoT) (Journal Article)

Mobile Information Systems, 2022 , pp. 1–11, 2022.

(Abstract | Links | BibTeX | Tags: IoT)

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

Automatic Diagnosis of Diabetic Retinopathy from Fundus Images Using Neuro-Evolutionary Algorithms (Journal Article)

Studies in Health Technology and Informatics, 290 , pp. 689–693, 2022.

(Abstract | Links | BibTeX | Tags: bioinformatics)

Gaia collaboration

Gaia Early Data Release 3-The celestial reference frame (Gaia-CRF3) (Journal Article)

Astronomy & Astrophysics, 667 (A148), pp. A148, 2022.

(Abstract | Links | BibTeX | Tags: astrostatistics)

Gaia Collaboration

Gaia Data Release 3. Summary of the content and survey properties (Journal Article)

Astronomy & Astrophysics, 2022.

(Abstract | Links | BibTeX | Tags: astrostatistics)

E. T. Habtermariam and K. Kekeba and A. Troncoso and F. Martínez-Álvarez

A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia (Conference)

531 , 2022.

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

M. J. Jiménez-Navarro and M. Martínez-Ballesteros and I. S. Sousa Brito and F. Martínez-Álvarez and G. Asencio-Cortés

Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection (Conference)

SOCO 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, 531 , Lecture Notes in Networks Systems 2022.

(Links | BibTeX | Tags: deep learning, feature selection)

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, 37 , pp. 1368-1386, 2021.

(Abstract | Links | 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: pattern recognition)

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: natural disasters, pattern recognition)

M. García-Torres and F. Gómez-Vela and F. Divina and D.P. Pinto-Roa and J.L. Vázquez Noguera and J.C. Román

Scatter search for high-dimensional feature selection using feature grouping (Conference)

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021.

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

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)

315 entries « 1 of 7 »