| Deep learning for time series forecasting: The electric load case A Gasparin, S Lukovic, C Alippi CAAI Transactions on Intelligence Technology 7 (1), 1-25, 2022 | 180 | 2022 |
| Content-based approaches for cold-start job recommendations M Bianchi, F Cesaro, F Ciceri, M Dagrada, A Gasparin, D Grattarola, ... Proceedings of the Recommender Systems Challenge 2017, 1-5, 2017 | 23 | 2017 |
| Fortuna: A library for uncertainty quantification in deep learning G Detommaso, A Gasparin, M Donini, M Seeger, AG Wilson, ... arXiv preprint arXiv:2302.04019, 2023 | 10 | 2023 |
| Deriving item features relevance from collaborative domain knowledge MF Dacrema, A Gasparin, P Cremonesi Proceedings of the Workshop on Knowledge-aware and Conversational …, 2018 | 8 | 2018 |
| Ranking micro-influencers: A novel multi-task learning and interpretable framework A Elwood, A Gasparin, A Rozza 2021 IEEE International Symposium on Multimedia (ISM), 130-137, 2021 | 5 | 2021 |
| Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors G Detommaso, A Gasparin, A Wilson, C Archambeau arXiv preprint arXiv:2207.08200, 2022 | 1 | 2022 |
| Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures A Elwood, A Gasparin, A Rozza International Journal of Semantic Computing 16 (02), 213-231, 2022 | 1 | 2022 |
| A feature-based machine learning approach for the cold start item problem M BIANCHI, A GASPARIN Politecnico di Milano, 2016 | | 2016 |
