| 2026 | IWINAC | Quantum-Classical Hybrid Genetic Evolutionary Algorithm for Traffic Signal Timing Optimization: A Case Study in the City of Vitoria-Gasteiz. | Hicham Affou, Francesc Rodrguez-Daz, Francisco Martnez-lvarez, Jos Manuel Lpez-Guede |
| 2025 | FedCSIS | Optimizing Deep Learning for Cotton Leaf Disease Detection Using Meta-Heuristic Feature Selection Algorithms. | Naeem Ullah, Francisco Martnez-lvarez, Ivanoe De Falco, Giovanna Sannino |
| 2025 | IDEAL | Feature Importance in Association Rule-Based Explanations for Time Series Forecasting. | A. R. Troncoso-Garca, Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Alicia Troncoso Lora |
| 2025 | ISCC | Enhancing AI Explainability and Performance in Pulmonary Condition Classification with Data Segmentation and Augmentation. | Naeem Ullah, Francisco Martnez-lvarez, Ivanoe De Falco, Giovanna Sannino |
| 2024 | SAC | An evolutionary triclustering approach to discover electricity consumption patterns in France. | David Gutirrez-Avils, Jos F. Torres, Francisco Martnez-lvarez, Jairo Cugliari |
| 2023 | HAIS | A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia. | E. Tefera, Mara Martnez-Ballesteros, Alicia Troncoso, Francisco Martnez-lvarez |
| 2023 | IWANN | Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning. | M. J. Jimnez-Navarro, Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Gualberto Asencio-Corts |
| 2023 | IWANN | Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning. | Jos F. Torres, S. Valencia, Francisco Martnez-lvarez, N. Hoyos |
| 2023 | IWANN | Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals. | A. R. Troncoso-Garca, Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Alicia Troncoso Lora |
| 2023 | SAC | A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal. | Manuel Jess Jimnez-Navarro, Mara Martnez-Ballesteros, Isabel Sofia Brito, Francisco Martnez-lvarez, Gualberto Asencio-Corts |
| 2023 | SAC | Evolutionary computation to explain deep learning models for time series forecasting. | Angela Troncoso-Garca, Alicia Troncoso Lora, Francisco Martnez-lvarez, Mara Martnez-Ballesteros |
| 2022 | HAIS | Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning. | Andrs Manuel Chacn-Maldonado, Miguel Angel Molina-Cabanillas, Alicia Troncoso, Francisco Martnez-lvarez, Gualberto Asencio-Corts |
| 2022 | KES | Explainable machine learning for sleep apnea prediction. | A. R. Troncoso-Garca, Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Alicia Troncoso |
| 2022 | SAC | A novel approach to discover numerical association based on the coronavirus optimization algorithm. | C. Segarra-Martn, Mara Martnez-Ballesteros, Alicia Troncoso, Francisco Martnez-lvarez |
| 2021 | HAIS | A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery. | M. . Molina, M. J. Jimnez-Navarro, Francisco Martnez-lvarez, Gualberto Asencio-Corts |
| 2019 | IWANN | Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. | Jos F. Torres, David Gutirrez-Avils, Alicia Troncoso, Francisco Martnez-lvarez |
| 2018 | HAIS | SmartFD: A Real Big Data Application for Electrical Fraud Detection. | David Gutirrez-Avils, J. A. Fbregas, J. Tejedor, Francisco Martnez-lvarez, Alicia Troncoso, A. Arcos, Jos C. Riquelme |
| 2018 | IJCNN | Static and Dynamic Ensembles of Neural Networks for Solar Power Forecasting. | Zheng Wang, Irena Koprinska, Alicia Troncoso, Francisco Martnez-lvarez |
| 2017 | IWANN | Scalable Forecasting Techniques Applied to Big Electricity Time Series. | Antonio Galicia, Jos F. Torres, Francisco Martnez-lvarez, Alicia Troncoso |
| 2017 | IWINAC | Deep Learning-Based Approach for Time Series Forecasting with Application to Electricity Load. | Jos F. Torres, Antonio M. Fernndez, Alicia Troncoso Lora, Francisco Martnez-lvarez |
| 2016 | DCAI | Finding Electric Energy Consumption Patterns in Big Time Series Data. | Rubn Prez-Chacn, Ricardo L. Talavera-Llames, Francisco Martnez-lvarez, Alicia Troncoso Lora |
| 2016 | FIT | Short Term Earthquake Prediction in Hindukush Region Using Tree Based Ensemble Learning. | Khawaja M. Asim, Adnan Idris, Francisco Martnez-lvarez, Talat Iqbal |
| 2016 | HAIS | Passivity Based Control of Cyber Physical Systems Under Zero-Dynamics Attack. | Fawad Hassan, Naeem Iqbal, Francisco Martnez-lvarez, Khawaja M. Asim |
| 2016 | HAIS | A Nearest Neighbours-Based Algorithm for Big Time Series Data Forecasting. | Ricardo L. Talavera-Llames, Rubn Prez-Chacn, Mara Martnez-Ballesteros, Alicia Troncoso, Francisco Martnez-lvarez |
| 2015 | HAIS | Improving Earthquake Prediction with Principal Component Analysis: Application to Chile. | Gualberto Asencio-Corts, Francisco Martnez-lvarez, Antonio Morales-Esteban, Jorge Reyes, Alicia Troncoso Lora |
| 2013 | HAIS | ra A Sensitivity Analysis for Quality Measures of Quantitative Association Rules. | Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Alicia Troncoso Lora, Jos C. Riquelme |
| 2013 | IJCNN | Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. | Irena Koprinska, Mashud Rana, Alicia Troncoso Lora, Francisco Martnez-lvarez |
| 2011 | HAIS | Computational Intelligence Techniques for Predicting Earthquakes. | Francisco Martnez-lvarez, Alicia Troncoso Lora, A. Morales-Esteban, Jos C. Riquelme |
| 2011 | ICAART | Mining Quantitative Association Rules in Microarray Data using Evolutive Algorithms. | Mara Martnez-Ballesteros, Cristina Rubio-Escudero, Jos C. Riquelme, Francisco Martnez-lvarez |
| 2011 | ISDA | On the use of algorithms to discover motifs in DNA sequences. | Cristina Rubio-Escudero, Francisco Martnez-lvarez, Mara Martnez-Ballesteros, Jos C. Riquelme |
| 2009 | IDA | Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences. | Francisco Martnez-lvarez, Alicia Troncoso Lora, Jos C. Riquelme |
| 2009 | IDEAL | Quantitative Association Rules Applied to Climatological Time Series Forecasting. | Mara Martnez-Ballesteros, Francisco Martnez-lvarez, Alicia Troncoso Lora, Jos C. Riquelme |
| 2008 | HIS | Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms. | Cristina Rubio-Escudero, Francisco Martnez-lvarez, Roco Romero-Zliz, Igor Zwir |
| 2008 | ICDM | LBF: A Labeled-Based Forecasting Algorithm and Its Application to Electricity Price Time Series. | Francisco Martnez-lvarez, Alicia Troncoso Lora, Jos C. Riquelme, Jess S. Aguilar-Ruiz |
| 2007 | CBMS | Detection of Microcalcifications in Mammographies Based on Linear Pixel Prediction and Support-Vector Machines. | Francisco Martnez-lvarez, Alicia Troncoso Lora, Jos Cristbal Riquelme Santos, Jess S. Aguilar-Ruiz |
| 2007 | IDEAL | Partitioning-Clustering Techniques Applied to the Electricity Price Time Series. | Francisco Martnez-lvarez, Alicia Troncoso Lora, Jos Cristbal Riquelme Santos, Jess Manuel Riquelme-Santos |