Alberto Gasparin

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Bayesian Approaches

Weakly Supervised

Multitask Learning

Top Venues

CAAI Trans. Intell. Technol.

Publications

Gianluca Detommaso, Alberto Gasparin, Michele Donini, Matthias W. Seeger, Andrew Gordon Wilson, Cédric Archambeau
Fortuna: A Library for Uncertainty Quantification in Deep Learning. CoRR (2023)
Adam Elwood, Alberto Gasparin, Alessandro Rozza
Ranking Micro-Influencers: A Multimedia Framework with Multi-Task and Interpretable Architectures. Int. J. Semantic Comput. 16 (2) (2022)
Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
Deep learning for time series forecasting: The electric load case. CAAI Trans. Intell. Technol. 7 (1) (2022)
Gianluca Detommaso, Alberto Gasparin, Andrew Wilson, Cédric Archambeau
Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors. CoRR (2022)
Adam Elwood, Alberto Gasparin, Alessandro Rozza
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. ISM (2021)
Adam Elwood, Alberto Gasparin, Alessandro Rozza
Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable Framework. CoRR (2021)
Alberto Gasparin, Slobodan Lukovic, Cesare Alippi
Deep Learning for Time Series Forecasting: The Electric Load Case. CoRR (2019)
Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi
Deriving item features relevance from collaborative domain knowledge. CoRR (2018)
Maurizio Ferrari Dacrema, Alberto Gasparin, Paolo Cremonesi
Deriving Item Features Relevance from Collaborative Domain Knowledge. KaRS@RecSys (2018)