| Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices A Brusaferri, M Matteucci, P Portolani, A Vitali Applied Energy 250, 1158-1175, 2019 | 107 | 2019 |
| Nonlinear system identification using a recurrent network in a Bayesian framework A Brusaferri, M Matteucci, P Portolani, S Spinelli 2019 IEEE 17th international conference on industrial informatics (INDIN) 1 …, 2019 | 20 | 2019 |
| Machine learning to forecast electricity hourly LCA impacts due to a dynamic electricity technology mix P Portolani, A Vitali, S Cornago, D Rovelli, C Brondi, JSC Low, ... Frontiers in Sustainability 3, 1037497, 2022 | 5 | 2022 |
| Hybrid system identification using a mixture of NARX experts with LASSO-based feature selection A Brusaferri, M Matteucci, P Portolani, S Spinelli, A Vitali 2020 7th International Conference on Control, Decision and Information …, 2020 | 5 | 2020 |
| Uncertainty in predictive process monitoring P Portolani, A Brusaferri, A Ballarino, M Matteucci International Conference on Information Processing and Management of …, 2022 | 3 | 2022 |
| A Novel Decision Mining Method Considering Multiple Model Paths P Portolani, D Savoia, A Ballarino, M Matteucci International Conference on Business Process Modeling, Development and …, 2023 | | 2023 |
| Sintesi di una logica di controllo per ausilio robotico P PORTOLANI, G NICOLA Politecnico di Milano, 2015 | | 2015 |
