| Regression tree ensembles for wind energy and solar radiation prediction A Torres-Barrán, Á Alonso, JR Dorronsoro Neurocomputing 326, 151-160, 2019 | 205 | 2019 |
| Deep neural networks for wind and solar energy prediction D Díaz–Vico, A Torres–Barrán, A Omari, JR Dorronsoro Neural Processing Letters 46, 829-844, 2017 | 78 | 2017 |
| Joint association of physical activity and body mass index with cardiovascular risk: a nationwide population-based cross-sectional study PL Valenzuela, A Santos-Lozano, AT Barrán, P Fernández-Navarro, ... European Journal of Preventive Cardiology 29 (2), e50-e52, 2022 | 36 | 2022 |
| Faster SVM training via conjugate SMO A Torres-Barrán, CM Alaíz, JR Dorronsoro Pattern Recognition 111, 107644, 2021 | 25 | 2021 |
| Deep neural networks for wind energy prediction D Díaz, A Torres, JR Dorronsoro Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 21 | 2015 |
| Cell-based fuzzy metrics enhance high-content screening (HCS) assay robustness H Azegrouz, G Karemore, A Torres, CM Alaíz, AM Gonzalez, P Nevado, ... Journal of biomolecular screening 18 (10), 1270-1283, 2013 | 20 | 2013 |
| Random forests and gradient boosting for wind energy prediction Á Alonso, A Torres, JR Dorronsoro Hybrid Artificial Intelligent Systems: 10th International Conference, HAIS …, 2015 | 19 | 2015 |
| Association between physical activity and cardiovascular risk factors: Dose and sex matter A Santos-Lozano, AT Barrán, P Fernández-Navarro, PL Valenzuela, ... Journal of Sport and Health Science 10 (5), 604, 2021 | 15 | 2021 |
| TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data D Precioso, M Navarro-García, K Gavira-O'Neill, A Torres-Barrán, ... Fisheries Research 250, 106263, 2022 | 14 | 2022 |
| Machine learning nowcasting of PV energy using satellite data A Catalina, A Torres-Barrán, CM Alaiz, JR Dorronsoro Neural Processing Letters 52, 97-115, 2020 | 14 | 2020 |
| Augmented probability simulation methods for non-cooperative games T Ekin, R Naveiro, A Torres-Barrán, D Ríos-Insua arXiv preprint arXiv:1910.04574, 2019 | 12 | 2019 |
| ν-SVM solutions of constrained Lasso and Elastic net A Torres-Barran, CM Alaiz, JR Dorronsoro Neurocomputing 275, 1921-1931, 2018 | 11 | 2018 |
| Augmented probability simulation methods for sequential games T Ekin, R Naveiro, DR Insua, A Torres-Barrán European Journal of Operational Research 306 (1), 418-430, 2023 | 10 | 2023 |
| Poor self‐reported sleep is associated with risk factors for cardiovascular disease: a cross‐sectional analysis in half a million adults PL Valenzuela, A Santos‐Lozano, A Torres‐Barrán, JS Morales, ... European journal of clinical investigation 52 (5), e13738, 2022 | 10 | 2022 |
| A Bayesian network model for predicting cardiovascular risk JM Ordovás, D Rios-Insua, A Santos-Lozano, A Lucia, A Torres, ... Computer methods and programs in biomedicine 231, 107405, 2023 | 8 | 2023 |
| Deep Fisher discriminant analysis D Díaz-Vico, A Omari, A Torres-Barrán, JR Dorronsoro Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 7 | 2017 |
| Nesterov acceleration for the smo algorithm A Torres-Barrán, JR Dorronsoro Artificial Neural Networks and Machine Learning–ICANN 2016: 25th …, 2016 | 7 | 2016 |
| Machine learning prediction of photovoltaic energy from satellite sources A Catalina, A Torres-Barrán, JR Dorronsoro International Workshop on Data Analytics for Renewable Energy Integration, 31-42, 2016 | 6 | 2016 |
| Sparse linear wind farm energy forecast CM Alaíz, A Torres, JR Dorronsoro Artificial Neural Networks and Machine Learning–ICANN 2012: 22nd …, 2012 | 6 | 2012 |
| Satellite based nowcasting of PV energy over peninsular Spain A Catalina, A Torres-Barrán, JR Dorronsoro Advances in Computational Intelligence: 14th International Work-Conference …, 2017 | 5 | 2017 |
Carlos María Alaíz GudínUniversidad Autónoma de Madrid在 uam.es 的电子邮件经过验证
