Alberto Gasparin

11 papers C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Distance-aware Calibration for Pre-trained Language Models. EMNLP (Findings) Alberto Gasparin, Gianluca Detommaso
2024	J	`jnl`	Fortuna: A Library for Uncertainty Quantification in Deep Learning. J. Mach. Learn. Res. Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias W. Seeger, Andrew Gordon Wilson, Cédric Archambeau
2023	J	`jnl`	Fortuna: A Library for Uncertainty Quantification in Deep Learning. CoRR Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias W. Seeger, Andrew Gordon Wilson, Cédric Archambeau
2022	J	`jnl`	Deep learning for time series forecasting: The electric load case. CAAI Trans. Intell. Technol. Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
2022	J	`jnl`	Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures. Int. J. Semantic Comput. Adam Elwood, Alberto Gasparin, Alessandro Rozza
2022	J	`jnl`	Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors. CoRR Gianluca Detommaso, Alberto Gasparin, Andrew Wilson, Cédric Archambeau
2021	C	`conf`	Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. ISM Adam Elwood, Alberto Gasparin, Alessandro Rozza
2021	J	`jnl`	Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. CoRR Adam Elwood, Alberto Gasparin, Alessandro Rozza
2019	J	`jnl`	Deep Learning for Time Series Forecasting: The Electric Load Case. CoRR Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
2018	—	`conf`	Deriving Item Features Relevance from Collaborative Domain Knowledge. KaRS@RecSys Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi
2018	J	`jnl`	Deriving item features relevance from collaborative domain knowledge. CoRR Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi