Alberto Gasparin

According to our database, Alberto Gasparin authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Distance-aware Calibration for Pre-trained Language Models.

Alberto Gasparin, Gianluca Detommaso

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures.

Adam Elwood, Alberto Gasparin, Alessandro Rozza

Int. J. Semantic Comput., 2022

Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors.

Gianluca Detommaso, Alberto Gasparin, Andrew Wilson, Cédric Archambeau

CoRR, 2022

Deep learning for time series forecasting: The electric load case.

Alberto Gasparin, Slobodan Lukovic, Cesare Alippi

CAAI Trans. Intell. Technol., 2022

2021

Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework.

Adam Elwood, Alberto Gasparin, Alessandro Rozza

Proceedings of the IEEE International Symposium on Multimedia, 2021

2018

Deriving Item Features Relevance from Collaborative Domain Knowledge.

Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi

Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, 2018