Francisco Martínez-Álvarez

158 papers A* 1B 5C 6Misc 17Journal 79Unranked 37
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Quantum Machine Learning: Foundations, Algorithms, Frameworks, Data and Applications.
ACM Comput. Surv.
Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2026 J jnl
A novel interpretable ozone forecasting approach based on deep learning with masked residual connections.
Environ. Model. Softw.
Pablo Reina-Jiménez, M. J. Jiménez-Navarro, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, María Martínez-Ballesteros
2026 J jnl
A novel knowledge distillation and hybrid explainability approach for phenology stage classification from multi-source time series.
Inf. Fusion
Naeem Ullah, Andrés Manuel Chacón-Maldonado, Francisco Martínez-Álvarez, Ivanoe De Falco, Giovanna Sannino
2026 — ed.
Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part I
HAIS (1)
Emilio Corchado, Héctor Quintián, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci, Ramos Sérgio Filipe
2026 — ed.
Hybrid Artificial Intelligent Systems - 20th International Conference, HAIS 2025, Salamanca, Spain, October 16-17, 2025, Proceedings, Part II
HAIS (2)
Emilio Corchado, Héctor Quintián, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci, Ramos Sérgio Filipe
2026 J jnl
Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits.
CoRR
D. Martín-Pérez, Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2026 J jnl
Quantifying Gate Contribution in Quantum Feature Maps for Scalable Circuit Optimization.
CoRR
Francesc Rodríguez-Díaz, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2025 J jnl
A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Angela del Robledo Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
2025 J jnl
A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia.
Neurocomputing
E. Tefera Habtemariam, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2025 J jnl
A novel explainable AI framework for medical image classification integrating statistical, visual, and rule-based methods.
Medical Image Anal.
Naeem Ullah, Florentina Guzmán-Aroca, Francisco Martínez-Álvarez, Ivanoe De Falco, Giovanna Sannino
2025 J jnl
A partitioning incremental algorithm using adaptive Mahalanobis fuzzy clustering and identifying the most appropriate partition.
Pattern Anal. Appl.
Rudolf Scitovski, Kristian Sabo, Danijel Grahovac, Francisco Martínez-Álvarez, Sime Ungar
2025 J jnl
Embedded feature selection for neural networks via learnable drop layer.
Log. J. IGPL
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2025 J jnl
Energy-efficient transfer learning for water consumption forecasting.
Sustain. Comput. Informatics Syst.
A. Gil-Gamboa, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2025 C conf
Enhancing AI Explainability and Performance in Pulmonary Condition Classification with Data Segmentation and Augmentation.
ISCC
Naeem Ullah, Francisco Martínez-Álvarez, Ivanoe De Falco, Giovanna Sannino
2025 — conf
Feature Importance in Association Rule-Based Explanations for Time Series Forecasting.
IDEAL (2)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2025 J jnl
Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas.
Ecol. Informatics
Pablo Casas-Gómez, José F. Torres, Juan Carlos Linares, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2025 — ed.
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part I
HAIS (1)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci
2025 — ed.
Hybrid Artificial Intelligent Systems - 19th International Conference, HAIS 2024, Salamanca, Spain, October 9-11, 2024, Proceedings, Part II
HAIS (2)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove-Pérez, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero, Paolo Fosci
2025 J jnl
MetaGen: A framework for metaheuristic development and hyperparameter optimization in machine and deep learning.
Neurocomputing
David Gutiérrez-Avilés, Manuel Jesús Jiménez-Navarro, José Francisco Torres, Francisco Martínez-Álvarez
2025 C conf
Optimizing Deep Learning for Cotton Leaf Disease Detection Using Meta-Heuristic Feature Selection Algorithms.
FedCSIS
Naeem Ullah, Francisco Martínez-Álvarez, Ivanoe De Falco, Giovanna Sannino
2025 — ed.
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 2
SOCO (2)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero Cosío, Paolo Fosci
2024 — conf
An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines.
CAEPIA
Francesc Rodríguez-Díaz, José Francisco Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2024 Misc conf
An evolutionary triclustering approach to discover electricity consumption patterns in France.
SAC
David Gutiérrez-Avilés, José F. Torres, Francisco Martínez-Álvarez, Jairo Cugliari
2024 J jnl
Emerging trends in big data analytics and natural disasters.
Comput. Geosci.
Francisco Martínez-Álvarez, Rudolf Scitovski, Cristina Rubio-Escudero, Antonio Morales-Esteban
2024 J jnl
Explaining deep learning models for ozone pollution prediction via embedded feature selection.
Appl. Soft Comput.
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2024 J jnl
From simple to complex: a sequential method for enhancing time series forecasting with deep learning.
Log. J. IGPL
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
2024 — conf
Ground-Level Ozone Forecasting Using Explainable Machine Learning.
CAEPIA
Angela del Robledo Troncoso-García, Manuel Jesús Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
2024 J jnl
Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption.
Future Gener. Comput. Syst.
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2024 — ed.
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 1
SOCO (1)
Héctor Quintián, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero Cosío, Paolo Fosci
2024 — conf
Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection.
SOCO (1)
A. R. Troncoso-García, M. J. Jiménez-Navarro, Maria Lourdes Linares-Barrera, Isabel Sofia Brito, Francisco Martínez-Álvarez, María Martínez-Ballesteros
2023 — ed.
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings
SOCO
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodríguez
2023 — ed.
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 1
SOCO (1)
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 — ed.
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) - Salamanca, Spain, September 5-7, 2023, Proceedings, Volume 2
SOCO (2)
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 Misc conf
A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia.
HAIS
E. Tefera, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2023 Misc conf
A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal.
SAC
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 J jnl
A new Apache Spark-based framework for big data streaming forecasting in IoT networks.
J. Supercomput.
Antonio M. Fernández-Gómez, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2023 J jnl
A new approach based on association rules to add explainability to time series forecasting models.
Inf. Fusion
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
2023 J jnl
A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting.
J. Big Data
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 J jnl
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.
Int. J. Digit. Earth
Laura Melgar-García, Francisco Martínez-Álvarez, Dieu Tien Bui, Alicia Troncoso
2023 — conf
Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals.
IWANN (1)
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2023 J jnl
Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market.
Expert Syst. Appl.
Dalil Hadjout, Abderrazak Sebaa, José F. Torres, Francisco Martínez-Álvarez
2023 — conf
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning.
IWANN (2)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 Misc conf
Evolutionary computation to explain deep learning models for time series forecasting.
SAC
Angela Troncoso-García, Alicia Troncoso Lora, Francisco Martínez-Álvarez, María Martínez-Ballesteros
2023 J jnl
Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting.
Comput. Electron. Agric.
A. R. Troncoso-García, Isabel Brito, Alicia Troncoso, Francisco Martínez-Álvarez
2023 — conf
Explaining Learned Patterns in Deep Learning by Association Rules Mining.
SOCO (2)
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 J jnl
FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer.
SoftwareX
Andrés Manuel Chacón-Maldonado, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso
2023 Misc ed.
Hybrid Artificial Intelligent Systems - 18th International Conference, HAIS 2023, Salamanca, Spain, September 5-7, 2023, Proceedings
HAIS
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 — ed.
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) - Proceedings, Salamanca, Spain, 5-7 September.
CISIS-ICEUTE
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
2023 — ed.
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) - Proceedings, Salamanca, Spain, 5-7 September, 2023.
CISIS-ICEUTE
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez-Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luís Calvo-Rolle, Héctor Quintián, Emilio Corchado
2023 — conf
Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment.
SOCO (1)
Pablo Casas-Gómez, Francisco Martínez-Álvarez, Alicia Troncoso, Juan Carlos Linares
2023 — conf
Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning.
SOCO (2)
Andrés Manuel Chacón-Maldonado, A. R. Troncoso-García, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, Alicia Troncoso
2023 J jnl
PHILNet: A novel efficient approach for time series forecasting using deep learning.
Inf. Sci.
M. J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2023 — conf
Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning.
IWANN (2)
José F. Torres, S. Valencia, Francisco Martínez-Álvarez, N. Hoyos
2022 — conf
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia.
SOCO
Ejigu T. Habtermariam, Kula Kekeba Tune, Alicia Troncoso, Francisco Martínez-Álvarez
2022 J jnl
A deep LSTM network for the Spanish electricity consumption forecasting.
Neural Comput. Appl.
José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2022 J jnl
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing
Laura Melgar-García, David Gutiérrez-Avilés, Maria Teresa Godinho, Rita Espada, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2022 Misc conf
A novel approach to discover numerical association based on the coronavirus optimization algorithm.
SAC
C. Segarra-Martín, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2022 J jnl
DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting.
Knowl. Based Syst.
Miguel Angel Molina-Cabanillas, M. J. Jiménez-Navarro, Ricardo Arjona, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2022 J jnl
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng.
Kien-Trinh Thi Bui, José F. Torres, David Gutiérrez-Avilés, Viet-Ha Nhu, Dieu Tien Bui, Francisco Martínez-Álvarez
2022 — conf
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem.
SOCO
Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez
2022 B conf
Explainable machine learning for sleep apnea prediction.
KES
A. R. Troncoso-García, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso
2022 — conf
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection.
SOCO
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2022 Misc ed.
Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings
HAIS
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado
2022 Misc conf
Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning.
HAIS
Andrés Manuel Chacón-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2022 J jnl
Special issue SOCO 2019: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing
Francisco Martínez-Álvarez, Alicia Troncoso Lora, Héctor Quintián, Emilio Corchado
2021 Misc conf
A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery.
HAIS
M. Á. Molina, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
2021 J jnl
Deep Learning for Time Series Forecasting: A Survey.
Big Data
José F. Torres, Dalil Hadjout, Abderrazak Sebaa, Francisco Martínez-Álvarez, Alicia Troncoso
2021 — conf
Electricity Consumption Time Series Forecasting Using Temporal Convolutional Networks.
CAEPIA
José F. Torres, M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso
2021 — conf
Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning.
SOCO
A. Melara, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
2021 — conf
HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting.
SOCO
M. J. Jiménez-Navarro, Francisco Martínez-Álvarez, Alicia Troncoso, Gualberto Asencio-Cortés
2021 J jnl
Mahalanobis clustering for the determination of incidence-magnitude seismic parameters for the Iberian Peninsula and the Republic of Croatia.
Comput. Geosci.
Antonio Morales-Esteban, Francisco Martínez-Álvarez, Sanja Scitovski, Rudolf Scitovski
2021 — conf
Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods.
SOCO
Dalil Hadjout, José F. Torres, Abderrazak Sebaa, Francisco Martínez-Álvarez
2021 J jnl
Saccade Landing Point Prediction Based on Fine-Grained Learning Method.
IEEE Access
Aythami Morales, Francisco Martínez-Álvarez, Russell L. Woods
2020 — ed.
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) - Seville, Spain, May 13-15, 2019, Proceedings
SOCO
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado
2020 — conf
A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets.
SOCO
Miguel Ángel Molina, Gualberto Asencio-Cortés, José C. Riquelme, Francisco Martínez-Álvarez
2020 J jnl
A novel hybrid GA-PSO framework for mining quantitative association rules.
Soft Comput.
Fateme Moslehi, Abdorrahman Haeri, Francisco Martínez-Álvarez
2020 J jnl
Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management.
Remote. Sens.
Francisco Martínez-Álvarez, Dieu Tien Bui
2020 J jnl
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration.
Big Data Res.
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2020 J jnl
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand.
Inf. Sci.
Rubén Pérez-Chacón, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2020 J jnl
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso Lora
2020 J jnl
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model.
CoRR
Francisco Martínez-Álvarez, Gualberto Asencio-Cortés, José F. Torres, David Gutiérrez-Avilés, Laura Melgar-García, Rubén Pérez-Chacón, Cristina Rubio-Escudero, José C. Riquelme, Alicia Troncoso
2020 — conf
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
SOCO
Laura Melgar-García, Maria Teresa Godinho, Rita Espada, David Gutiérrez-Avilés, Isabel Sofia Brito, Francisco Martínez-Álvarez, Alicia Troncoso, Cristina Rubio-Escudero
2020 — ed.
International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019) - Seville, Spain, May 13-15, 2019, Proceedings
CISIS-ICEUTE
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José António Sáez Muñoz, Héctor Quintián, Emilio Corchado
2020 J jnl
Learning analytics for student modeling in virtual reality training systems: Lineworkers case.
Comput. Educ.
Guillermo Santamaría Bonfil, María-Blanca Ibáñez-Espiga, Miguel Pérez-Ramírez, Gustavo Arroyo-Figueroa, Francisco Martínez-Álvarez
2020 — conf
On the Performance of Deep Learning Models for Time Series Classification in Streaming.
SOCO
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
2020 J jnl
On the performance of deep learning models for time series classification in streaming.
CoRR
Pedro Lara-Benítez, Manuel Carranza-García, Francisco Martínez-Álvarez, José C. Riquelme
2020 J jnl
Port-Hamiltonian Modeling of Multiphysics Systems and Object-Oriented Implementation With the Modelica Language.
IEEE Access
Francisco Martínez-Álvarez, Pedro J. Zufiria, Luis José Yebra
2020 — conf
Use of IT in Project-Based Learning Applied to the Subject Surveying in Civil Engineering.
ICEUTE
Oihana Mitxelena-Hoyos, José Lázaro Amaro-Mellado, Francisco Martínez-Álvarez
2019 J jnl
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System.
IEEE Access
Catalina Gomez-Quiles, Gualberto Asencio-Cortés, Adolfo Gastalver-Rubio, Francisco Martínez-Álvarez, Alicia Troncoso, Joan Manresa, José C. Riquelme, Jesús Manuel Riquelme-Santos
2019 — conf
Analysis of Student Achievement Scores: A Machine Learning Approach.
CISIS-ICEUTE
Miguel García-Torres, David Becerra-Alonso, Francisco Antonio Gómez Vela, Federico Divina, Isabel López-Cobo, Francisco Martínez-Álvarez
2019 J jnl
Big data and natural disasters: New approaches for spatial and temporal massive data analysis.
Comput. Geosci.
Francisco Martínez-Álvarez, A. Morales-Esteban
2019 J jnl
Big data solar power forecasting based on deep learning and multiple data sources.
Expert Syst. J. Knowl. Eng.
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2019 — conf
Game-Based Student Response System Applied to a Multidisciplinary Teaching Context.
CISIS-ICEUTE
José Lázaro Amaro-Mellado, Daniel Antón, Macarena Pérez-Suárez, Francisco Martínez-Álvarez
2019 — conf
Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills.
CISIS-ICEUTE
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, E. Atencia-Gil, Alicia Troncoso
2019 J jnl
MV-kWNN: A novel multivariate and multi-output weighted nearest neighbours algorithm for big data time series forecasting.
Neurocomputing
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso, Francisco Martínez-Álvarez
2019 J jnl
Multi-step forecasting for big data time series based on ensemble learning.
Knowl. Based Syst.
Antonio Galicia, Ricardo L. Talavera-Llames, Alicia Troncoso Lora, Irena Koprinska, Francisco Martínez-Álvarez
2019 — conf
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
IWANN (1)
José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2019 — conf
Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks.
SOCO
Antonio M. Fernández, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez
2019 J jnl
Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference.
Neurocomputing
Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
2018 J jnl
A novel approach to forecast urban surface-level ozone considering heterogeneous locations and limited information.
Environ. Model. Softw.
Álvaro Gómez-Losada, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, José C. Riquelme
2018 J jnl
A novel imputation methodology for time series based on pattern sequence forecasting.
Pattern Recognit. Lett.
Neeraj Bokde, Marcus W. Beck, Francisco Martínez-Álvarez, Kishore Kulat
2018 J jnl
A novel spark-based multi-step forecasting algorithm for big data time series.
Inf. Sci.
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2018 J jnl
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs.
Comput. Geosci.
Emilio Florido, Gualberto Asencio-Cortés, José Luis Aznarte, Cristina Rubio-Escudero, Francisco Martínez-Álvarez
2018 J jnl
A scalable approach based on deep learning for big data time series forecasting.
Integr. Comput. Aided Eng.
José F. Torres, Antonio Galicia, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2018 J jnl
Big data time series forecasting based on nearest neighbours distributed computing with Spark.
Knowl. Based Syst.
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2018 — conf
Deep Learning for Big Data Time Series Forecasting Applied to Solar Power.
SOCO-CISIS-ICEUTE
José F. Torres, Alicia Troncoso, Irena Koprinska, Zheng Wang, Francisco Martínez-Álvarez
2018 J jnl
Earthquake prediction in California using regression algorithms and cloud-based big data infrastructure.
Comput. Geosci.
Gualberto Asencio-Cortés, Antonio Morales-Esteban, Xueyi Shang, Francisco Martínez-Álvarez
2018 — conf
Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses.
SOCO-CISIS-ICEUTE
Cristina Rubio-Escudero, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme
2018 J jnl
Mapping of seismic parameters of the Iberian Peninsula by means of a geographic information system.
Central Eur. J. Oper. Res.
José L. Amaro-Mellado, Antonio Morales-Esteban, Francisco Martínez-Álvarez
2018 Misc conf
SmartFD: A Real Big Data Application for Electrical Fraud Detection.
HAIS
David Gutiérrez-Avilés, J. A. Fábregas, J. Tejedor, Francisco Martínez-Álvarez, Alicia Troncoso, A. Arcos, José C. Riquelme
2018 B conf
Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting.
IJCNN
Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martínez-Álvarez
2017 J jnl
Applications of Computational Intelligence in Time Series.
Comput. Intell. Neurosci.
Francisco Martínez-Álvarez, Alicia Troncoso, Jorge Reyes, María Martínez-Ballesteros, José C. Riquelme
2017 — conf
Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load.
IWINAC (2)
José F. Torres, Antonio M. Fernández, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2017 J jnl
Medium-large earthquake magnitude prediction in Tokyo with artificial neural networks.
Neural Comput. Appl.
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban
2017 J jnl
PSF: Introduction to R Package for Pattern Sequence Based Forecasting Algorithm.
R J.
Neeraj Bokde, Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Kishore Kulat
2017 — conf
Scalable Forecasting Techniques Applied to Big Electricity Time Series.
IWANN (2)
Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso
2017 J jnl
Temporal analysis of croatian seismogenic zones to improve earthquake magnitude prediction.
Earth Sci. Informatics
Gualberto Asencio-Cortés, Sanja Scitovski, Rudolf Scitovski, Francisco Martínez-Álvarez
2017 J jnl
Using principal component analysis to improve earthquake magnitude prediction in Japan.
Log. J. IGPL
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
2016 Misc conf
A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting.
HAIS
Ricardo L. Talavera-Llames, Rubén Pérez-Chacón, María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez
2016 J jnl
A novel methodology to predict urban traffic congestion with ensemble learning.
Soft Comput.
Gualberto Asencio-Cortés, Emilio Florido, Alicia Troncoso, Francisco Martínez-Álvarez
2016 J jnl
A sensitivity study of seismicity indicators in supervised learning to improve earthquake prediction.
Knowl. Based Syst.
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, A. Morales-Esteban, Jorge Reyes
2016 — conf
Automated Spark Clusters Deployment for Big Data with Standalone Applications Integration.
CAEPIA
Antonio M. Fernández, José F. Torres, Alicia Troncoso, Francisco Martínez-Álvarez
2016 Misc conf
Finding Electric Energy Consumption Patterns in Big Time Series Data.
DCAI
Rubén Pérez-Chacón, Ricardo L. Talavera-Llames, Francisco Martínez-Álvarez, Alicia Troncoso Lora
2016 Misc ed.
Hybrid Artificial Intelligent Systems - 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
HAIS
Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado
2016 J jnl
Improving a multi-objective evolutionary algorithm to discover quantitative association rules.
Knowl. Inf. Syst.
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
2016 J jnl
Obtaining optimal quality measures for quantitative association rules.
Neurocomputing
María Martínez-Ballesteros, Alicia Troncoso, Francisco Martínez-Álvarez, José C. Riquelme
2016 Misc conf
Passivity Based Control of Cyber Physical Systems Under Zero-Dynamics Attack.
HAIS
Fawad Hassan, Naeem Iqbal, Francisco Martínez-Álvarez, Khawaja M. Asim
2016 Misc conf
Short Term Earthquake Prediction in Hindukush Region Using Tree Based Ensemble Learning.
FIT
Khawaja M. Asim, Adnan Idris, Francisco Martínez-Álvarez, Talat Iqbal
2015 J jnl
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy
Francisco Martínez-Álvarez, David Gutiérrez-Avilés, Antonio Morales-Esteban, Jorge Reyes, José L. Amaro-Mellado, Cristina Rubio-Escudero
2015 J jnl
A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables.
Neurocomputing
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2015 — conf
Data Mining for Predicting Traffic Congestion and Its Application to Spanish Data.
SOCO
Emilio Florido, O. Castaño, Alicia Troncoso, Francisco Martínez-Álvarez
2015 J jnl
Detecting precursory patterns to enhance earthquake prediction in Chile.
Comput. Geosci.
Emilio Florido, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, José Luis Aznarte-Mellado
2015 Misc conf
Improving Earthquake Prediction with Principal Component Analysis: Application to Chile.
HAIS
Gualberto Asencio-Cortés, Francisco Martínez-Álvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora
2014 J jnl
A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning.
Comput. Geosci.
Antonio Morales-Esteban, Francisco Martínez-Álvarez, Sanja Scitovski, Rudolf Scitovski
2014 J jnl
Selecting the best measures to discover quantitative association rules.
Neurocomputing
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2014 J jnl
TriGen: A genetic algorithm to mine triclusters in temporal gene expression data.
Neurocomputing
David Gutiérrez-Avilés, Cristina Rubio-Escudero, Francisco Martínez-Álvarez, José C. Riquelme
2013 — conf
A Comparative Study of Machine Learning Regression Methods on LiDAR Data: A Case Study.
SOCO-CISIS-ICEUTE
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2013 B conf
Combining pattern sequence similarity with neural networks for forecasting electricity demand time series.
IJCNN
Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martínez-Álvarez
2013 J jnl
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula.
Knowl. Based Syst.
Francisco Martínez-Álvarez, Jorge Reyes, A. Morales-Esteban, Cristina Rubio-Escudero
2013 J jnl
Neural networks to predict earthquakes in Chile.
Appl. Soft Comput.
Jorge Reyes, A. Morales-Esteban, Francisco Martínez-Álvarez
2013 Misc conf
ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules.
HAIS
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2011 J jnl
An evolutionary algorithm to discover quantitative association rules in multidimensional time series.
Soft Comput.
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2011 J jnl
Clustering preprocessing to improve time series forecasting.
AI Commun.
Francisco Martínez-Álvarez
2011 — conf
Computational Intelligence Techniques for Predicting Earthquakes.
HAIS (2)
Francisco Martínez-Álvarez, Alicia Troncoso Lora, A. Morales-Esteban, José C. Riquelme
2011 J jnl
Discovery of motifs to forecast outlier occurrence in time series.
Pattern Recognit. Lett.
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
2011 J jnl
Energy Time Series Forecasting Based on Pattern Sequence Similarity.
IEEE Trans. Knowl. Data Eng.
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
2011 — conf
Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms.
ICAART (1)
María Martínez-Ballesteros, Cristina Rubio-Escudero, José C. Riquelme, Francisco Martínez-Álvarez
2011 C conf
On the use of algorithms to discover motifs in DNA sequences.
ISDA
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, María Martínez-Ballesteros, José C. Riquelme
2011 — conf
Pattern Recognition in Biological Time Series.
CAEPIA
Francisco Gómez-Vela, Francisco Martínez-Álvarez, Carlos D. Barranco, Norberto Díaz-Díaz, Domingo S. Rodríguez-Baena, Jesús S. Aguilar-Ruiz
2010 J jnl
Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution.
Integr. Comput. Aided Eng.
María Martínez-Ballesteros, Alicia Troncoso Lora, Francisco Martínez-Álvarez, José C. Riquelme
2010 J jnl
Pattern recognition to forecast seismic time series.
Expert Syst. Appl.
A. Morales-Esteban, Francisco Martínez-Álvarez, Alicia Troncoso Lora, J. L. Justo, Cristina Rubio-Escudero
2010 — conf
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps.
IEA/AIE (1)
Jorge García-Gutiérrez, Francisco Martínez-Álvarez, José C. Riquelme
2009 B conf
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences.
IDA
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2009 C conf
Quantitative Association Rules Applied to Climatological Time Series Forecasting.
IDEAL
María Martínez-Ballesteros, Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme
2008 C conf
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms.
HIS
Cristina Rubio-Escudero, Francisco Martínez-Álvarez, Rocío Romero-Záliz, Igor Zwir
2008 A* conf
LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series.
ICDM
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José C. Riquelme, Jesús S. Aguilar-Ruiz
2007 B conf
Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines.
CBMS
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús S. Aguilar-Ruiz
2007 C conf
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series.
IDEAL
Francisco Martínez-Álvarez, Alicia Troncoso Lora, José Cristóbal Riquelme Santos, Jesús Manuel Riquelme-Santos