| Solar energy prediction model based on artificial neural networks and open data JM Barrera, A Reina, A Maté, JC Trujillo Sustainability 12 (17), 6915, 2020 | 55 | 2020 |
| Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients A. Reina Reina, JM. Barrera, B.Valdivieso , María‑Eugenia Gas, A.Maté, J ... Scientific Reports 12, 2022 | 13 | 2022 |
| Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines JM Barrera, A Reina, A Mate, JC Trujillo International Journal of Machine Learning and Cybernetics 13 (10), 3113-3129, 2022 | 10 | 2022 |
| A machine learning approach to reduce dimensional space in large datasets RM Terol, AR Reina, S Ziaei, D Gil IEEE Access 8, 148181-148192, 2020 | 9 | 2020 |
| An extension of iStar for Machine Learning requirements by following the PRISE methodology JM Barrera, A Reina-Reina, A Lavalle, A Maté, J Trujillo Computer Standards & Interfaces 88, 103806, 2024 | 1 | 2024 |
| Applying i* in Conceptual Modelling in Machine Learning JM Barrera, A Reina Reina, A Maté, J Trujillo CEUR, 2021 | 1 | 2021 |
| Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers A Reina-Reina, JM Barrera, A Maté, JC Trujillo, B Valdivieso, ME Gas Heliyon 9 (12), 2023 | | 2023 |
| 2D Very Deep Convolutional Neural Network for Carotid Artery Calcification Detection on 3D Patient's CT-Scan A Reina Reina, A Maté, J Trujillo | | 2023 |
| Use of ai* extension for Machine Learning: a real case study JM Barrera, A Reina Reina, S García-Ponsoda, J Trujillo CEUR, 2022 | | 2022 |
| Chatbot Analyzer: Librería para extracción de insights sobre conversaciones de chatbots JM Barrera, A Reina Reina, A Maté, J Trujillo | | 2021 |
| San Francisco Open Data A Reina Reina | | 2019 |
