| Combining numerical weather predictions and satellite data for PV energy nowcasting A Catalina, CM Alaiz, JR Dorronsoro IEEE Transactions on Sustainable Energy 11 (3), 1930-1937, 2019 | 38 | 2019 |
| Challenges and opportunities in high dimensional variational inference AK Dhaka, A Catalina, M Welandawe, MR Andersen, J Huggins, A Vehtari Advances in Neural Information Processing Systems 34, 7787-7798, 2021 | 37 | 2021 |
| Robust, accurate stochastic optimization for variational inference AK Dhaka, A Catalina, MR Andersen, M Magnusson, J Huggins, A Vehtari Advances in Neural Information Processing Systems 33, 10961-10973, 2020 | 33 | 2020 |
| Projection predictive inference for generalized linear and additive multilevel models A Catalina, PC Bürkner, A Vehtari International Conference on Artificial Intelligence and Statistics, 4446-4461, 2022 | 25 | 2022 |
| Projpred: projection predictive feature selection J Piironen, M Paasiniemi, A Catalina, A Vehtari R package version 2 (0), 2023 | 16 | 2023 |
| 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 |
| Latent space projection predictive inference A Catalina, P Bürkner, A Vehtari arXiv preprint arXiv:2109.04702, 2021 | 7 | 2021 |
| 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 |
| 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 |
| Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. A Catalina, CM Alaíz, JR Dorronsoro ESANN, 2018 | 4 | 2018 |
| Hidden impacts of conservation management on fertility of the critically endangered kākāpō A Digby, D Eason, A Catalina, M Lierz, S Galla, L Urban, MF Le Lec, ... PeerJ 11, e14675, 2023 | 3 | 2023 |
| NWP ensembles for wind energy uncertainty estimates A Catalina, JR Dorronsoro Data Analytics for Renewable Energy Integration: Informing the Generation …, 2017 | 3 | 2017 |
| projpred: Projection Predictive Feature Selection, 2020a J Piironen, M Paasiniemi, A Catalina, A Vehtari | 3 | |
| Accelerated block coordinate descent for sparse group Lasso A Catalina, CM Alaíz, JR Dorronsoro 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 2 | 2018 |
| Flexible Kernel Selection in Multitask Support Vector Regression C Ruiz, CM Alaíz, A Catalina, JR Dorronsoro 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 1 | 2019 |
| Robust Bayesian Inference: variable and structure selection and variational inference A Catalina Aalto University, 2023 | | 2023 |
| Group Heterogeneity Assessment for Multilevel Models T Paananen, A Catalina, PC Bürkner, A Vehtari arXiv preprint arXiv:2005.02773, 2020 | | 2020 |
| Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features A Catalina, CM Alaíz, JR Dorronsoro Data Analytics for Renewable Energy Integration. Technologies, Systems and …, 2018 | | 2018 |
| Predicción por conjuntos y estimaciones de incertidumbre en predicción de energía eólica A Catalina, JR Dorronsoro Agencia Estatal de Meteorología, 2018 | | 2018 |
| Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction V de la Pompa, A Catalina, JR Dorronsoro Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th …, 2018 | | 2018 |
Aki VehtariProfessor, Aalto University在 aalto.fi 的电子邮件经过验证
