Deriving Item Features Relevance from Collaborative Domain Knowledge. - Maurizio Ferrari Dacrema; Alberto Gasparin; Paolo Cremonesi (KaRS@RecSys, 2018)

Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. - Adam Elwood; Alberto Gasparin; Alessandro Rozza (ISM, 2021)

Deep learning for time series forecasting: The electric load case. - Alberto Gasparin; Slobodan Lukovic; Cesare Alippi (CAAI Trans. Intell. Technol., 2022)

Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors. - Gianluca Detommaso; Alberto Gasparin; Andrew Wilson; Cédric Archambeau (CoRR, 2022)

Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures. - Adam Elwood; Alberto Gasparin; Alessandro Rozza (Int. J. Semantic Comput., 2022)

Distance-aware Calibration for Pre-trained Language Models. - Alberto Gasparin; Gianluca Detommaso (EMNLP (Findings), 2024)

Fortuna: A Library for Uncertainty Quantification in Deep Learning. - Gianluca Detommaso; Alberto Gasparin; Michele Donini; Matthias W. Seeger; Andrew Gordon Wilson; Cédric Archambeau (J. Mach. Learn. Res., 2024)