| Causal feature selection via transfer entropy P Bonetti, AM Metelli, M Restelli 2024 International Joint Conference on Neural Networks (IJCNN), 1-10, 2024 | 11 | 2024 |
| Interpretable linear dimensionality reduction based on bias-variance analysis P Bonetti, AM Metelli, M Restelli Data Mining and Knowledge Discovery 38 (4), 1713-1781, 2024 | 5 | 2024 |
| Nonlinear feature aggregation: two algorithms driven by theory P Bonetti, AM Metelli, M Restelli arXiv preprint arXiv:2306.11143, 2023 | 2 | 2023 |
| Interpetable Target-Feature Aggregation for Multi-task Learning Based on Bias-Variance Analysis P Bonetti, AM Metelli, M Restelli Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Machine Learning-Driven Enhancement of Predictors and Prediction for Tropical Cyclone Activity M Maier-Gerber, L Magnusson, P Bonetti, AM Metelli, M Restelli 36th Conference on Hurricanes and Tropical Meteorology, 2024 | | 2024 |
| Seasonal forecasts for hydropower: downscaling of precipitation in South American basins V Torralba, S Materia, C Álvarez-Castro, P Bonetti, AM Metelli, M Restelli, ... EGU General Assembly Conference Abstracts, EGU22-13206, 2022 | | 2022 |
| Advancing drought monitoring via feature extraction and multi-task learning algorithms M Giuliani, P Bonetti, AM Metelli, M Restelli, A Castelletti EGU General Assembly Conference Abstracts, EGU22-5130, 2022 | | 2022 |
| Impact of sentiment analysis on automatic financial trading through reinforcement learning P BONETTI Politecnico di Milano, 2018 | | 2018 |
| INTERPRETABLE MACHINE LEARNING FOR EXTREME P Bonetti, M Giuliani, V Cardigliano | | |
| INTERPRETABLE ML FOR EE DETECTION: AN APPLICATION TO DROUGHTS IN THE PO RIVER BASIN P BONETTI, M GIULIANI, V CARDIGLIANO, AM METELLI, M RESTELLI, ... | | |