Publications

 

349 entries « 1 of 7 »

2024

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

Explaining deep learning models for ozone pollution prediction via embedded feature selection Journal Article

In: Applied Soft Computing, vol. 157, pp. 111504, 2024.

Abstract | Links | BibTeX | Tags: deep learning, feature selection, time series, XAI

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

In: Future Generation Computer Systems, vol. 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

In: Applied Water Science, vol. 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

In: Computers and Geosciences, vol. 182, pp. 105465, 2024.

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

M. García-Torres and D. P. Pinto-Roa and C. Núñez-Castillo and B. Quiñonez and G. Vázquez and M. Allegretti and M. E. García-Diaz

Feature selection applied to QoS/QoE modeling on video and web-based mobile data services: An ordinal approach Journal Article

In: Computer Communications, 2024.

Abstract | Links | BibTeX | Tags: feature selection

F. Morales-Mareco and M. García-Torres and F. Divina and D. H Stalder and C. Sauer

Machine learning for electric energy consumption forecasting: Application to the Paraguayan system Journal Article

In: Logic Journal of the IGPL, pp. jzae035, 2024.

Abstract | Links | BibTeX | Tags: energy

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

Feature selection: A perspective on inter-attribute cooperation Journal Article

In: International Journal of Data Science and Analytics, vol. 17, no. 2, pp. 139–151, 2024.

Abstract | Links | BibTeX | Tags: feature selection

F. Divina and M. García-Torres and F. Gómez-Vela and D. S. Rodriguez-Baena

A stacking ensemble learning for Iberian pigs activity prediction: a time series forecasting approach Journal Article

In: AIMS Mathematics, vol. 9, no. 5, pp. 13358–13384, 2024.

Abstract | Links | BibTeX | Tags: 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

In: Computers and Electronics in Agriculture, vol. 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

In: Expert Systems with Applications, vol. 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, vol. 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, vol. 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, vol. 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 Proceedings

Springer, vol. 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 Proceedings

Springer, vol. 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 Proceedings

Springer, vol. 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 Proceedings

Springer, vol. 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, vol. 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

In: Journal of Big Data, vol. 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

In: Information Sciences, vol. 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

In: Journal of African Earth Sciences, vol. 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

In: Energies, vol. 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

In: Journal of Supercomputing, vol. 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

In: Information Fusion, vol. 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

In: Logic Journal of the IGPL, vol. 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

In: International Journal of Digital Earth, vol. 16, no. 1, pp. 3661-3679, 2023.

Links | BibTeX | Tags: deep learning, natural disasters

M. Vázquez-Marrufo and E. Sarrias-Arrabal and M. García-Torres and R. Martín-Clemente and G. Izquierdo

A systematic review of the application of machine-learning algorithms in multiple sclerosis Journal Article

In: Neurología (English Edition), 2023.

Abstract | Links | BibTeX | Tags: bioinformatics

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

Feature selection: A perspective on inter-attribute cooperation Journal Article

In: International Journal of Data Science and Analytics, pp. 1–13, 2023.

Abstract | Links | BibTeX | Tags: feature selection

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

In: Logic Journal of the IGPL, vol. 31, no. 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

In: 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

In: Engineering Applications of Artificial Intelligence, vol. 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

In: 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

In: Engineering Applications of Artificial Intelligence, vol. 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

In: Information Fusion, vol. 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

In: SoftwareX, vol. 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

In: Knowledge-Based Systems, vol. 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 Proceedings

Springer, vol. 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 Proceedings

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

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

349 entries « 1 of 7 »