Publications

342 entries « 1 of 7 »

2024

D. Gutiérrez-Avilés and J. F. Torres and F. Martínez-Álvarez and J. Cugliari

An evolutionary triclustering approach to discover electricity consumption patterns in France (Conference)

SAC 39th Annual ACM Symposium on Applied Computing, 2024.

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

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

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption (Journal Article)

Future Generation Computer Systems, 154 , pp. 397-412, 2024.

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

C. G. García-Soto and J. F. Torres and M. A. Zamora-Izquierdo and J. Palma and A. Troncoso

Water consumption time series forecasting in urban centers using deep neural networks (Journal Article)

Applied Water Science, 14 , pp. 1-14, 2024.

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

F. Martínez-Álvarez and R. Scitovski and C. Rubio-Escudero and A. Morales-Esteban

Emerging trends in big data analytics and natural disasters (Editorial) (Journal Article)

Computers and Geosciences, 182 , pp. 105465, 2024.

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

2023

A. R. Troncoso-García and I. S. Brito and A. Troncoso and F. Mártinez-Álvarez

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting (Journal Article)

Computers and Electronics in Agriculture, 215 , pp. 108387, 2023.

(Abstract | Links | BibTeX | Tags: deep learning, forecasting, precision agriculture, XAI)

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

Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market (Journal Article)

Expert Systems with Applications, 227 , pp. 120123, 2023.

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

J. F. Torres and S. Valencia and F. Martínez-Álvarez and N. Hoyos

Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning (Conference)

IWANN 17th International Work-Conference on Artificial Neural Networks, 14135 , Lecture Notes in Computer Science 2023.

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

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

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals (Conference)

IWANN 17th International Work-Conference on Artificial Neural Networks, 14134 , Lecture Notes in Computer Science 2023.

(Links | BibTeX | Tags: deep learning, forecasting, 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)

IWANN 17th International Work-Conference on Artificial Neural Networks, 14135 , Lecture Notes in Computer Science 2023.

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

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) Salamanca, Spain, September 5-7, 2023, volume 1 (Proceeding)

Springer, 749 , 2023, ISBN: 978-3-031-42529-5.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) Salamanca, Spain, September 5-7, 2023, volume 2 (Proceeding)

Springer, 750 , 2023, ISBN: 978-3-031-42536-3.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2023) Salamanca, Spain, September 5-7, 2023 (Proceeding)

Springer, 14001 , 2023, ISBN: 978-3-031-40725-3.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and F. Martínez-Álvarez and A. Troncoso and Á. Herrero and J. L. Calvo-Rolle and H. Quintián and E. Corchado

Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023). Salamanca, Spain, September 5-7, 2023 (Proceeding)

Springer, 748 , 2023, ISBN: 978-3-031-42519-6.

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

A. Vellinger and J. F. Torres and F. Divina and W. Vanhoof

Neuroevolutionary Transfer Learning for Time Series Forecasting (Conference)

SOCO International Conference on Soft Computing Models in Industrial and Environmental Applications, 749 , Lecture Notes in Networks and Systems 2023.

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

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

A New Deep Learning Architecture with Inductive Bias Balance for Oil Temperature Forecasting (Journal Article)

Journal of Big Data, 10 , pp. 80, 2023.

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

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, 632 , pp. 815-832, 2023.

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

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)

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 | Links | 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. Martínez-Álvarez

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

Journal of Supercomputing, 79 , pp. 11078–11100, 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. Troncoso 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)

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

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

SAC 38th Annual ACM Symposium on Applied Computing, 2023.

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

L. Melgar-García, M. Hosseini and A. Troncoso

Identification of anomalies in urban sound data with Autoencoders (Conference)

HAIS 18th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2023.

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

E. Tefera and A. Troncoso and M. Martínez Ballesteros and F. Martínez-Álvarez

A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia (Conference)

HAIS 18th International Conference on Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science 2023.

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

L. Melgar-García, Á. Troncoso-García, D. Gutiérrez-Avilés, J. F. Torres and A. Troncoso

Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python (Conference)

ICEUTE 14th International Conference on European Transnational Educational, Lecture Notes in Networks and Systems 2023.

(BibTeX | Tags: education, XAI)

A. M. Chacón-Maldonado and A.R. Troncoso-García and F. Martínez-Álvarez, G. Asencio-Cortés and A. Troncoso

Olive oil fly population pest forecasting using explainable deep learning (Conference)

SOCO 18th International Conference on Soft Computing Models in Industrial and Environmental Applications , Lecture Notes in Networks and Systems 2023.

(BibTeX | Tags: precision agriculture, XAI)

P. Casas-Gómez and F. Martínez-Álvarez and A. Troncoso and J. C. Linares-Calderón

Machine Learning Approaches for Predicting Tree Growth Trends based on Basal Area Increment (Conference)

SOCO 18th International Conference on Soft Computing Models in Industrial and Environmental Applications, Lecture Notes in Networks and Systems 2023.

(BibTeX | Tags: time series)

L. Melgar-García and F. Martínez-Álvarez and D. T. Bui and A. Troncoso

A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area (Journal Article)

International Journal of Digital Earth, 16 (1), pp. 3661-3679, 2023.

(Links | BibTeX | Tags: deep learning, natural disasters)

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, 2023.

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

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

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer (Journal Article)

SoftwareX, 23 , pp. 101401, 2023.

(Links | BibTeX | Tags: feature selection)

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

Evolutionary computation to explain deep learning models for time series forecasting (Conference)

SAC 38th Annual ACM Symposium on Applied Computing, 2023.

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

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

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals (Conference)

IWANN International Work-conference on Artificial Intelligence, Lecture Notes in Computer Science 2023.

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

HAIS 17th International Conference on Hybrid Artificial Intelligence Systems, 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)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and J. R. Villar-Flecha and A. Troncoso and E. A. de la Cal and Á. Herrero and F. Martínez-Álvarez and G. Psaila and H. Quintián and E. Corchado

Proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2022) Salamanca, Spain, September 5-7, 2022 (Proceeding)

Springer, 13469 , 2022, ISBN: 978-3-031-15470-6.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and J. R. Villar-Flecha and A. Troncoso and E. A. de la Cal and Á. Herrero and F. Martínez-Álvarez and G. Psaila and H. Quintián and E. Corchado

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) Salamanca, Spain, September 5-7, 2022 (Proceeding)

Springer, 531 , 2022, ISBN: 978-3-031-18050-7.

(Links | BibTeX | Tags: big data, clustering, deep learning, IoT)

P. García-Bringas and H. Pérez-García and F. J. Martínez de Pisón and J. R. Villar-Flecha and A. Troncoso and E. A. de la Cal and Á. Herrero and F. Martínez-Álvarez and G. Psaila and H. Quintián and E. Corchado

Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022). Salamanca, Spain, September 5-7, 2022 (Proceeding)

Springer, 532 , 2022, ISBN: 978-3-031-18409-3.

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

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)

342 entries « 1 of 7 »