2 citations · 4 across the 4 of their papers we have counts for
4 papers
Correction of Italian under-reporting in the first COVID-19 wave via age-specific deconvolution of hospital admissions
Simone Milanesi, Giuseppe De Nicolao
When the COVID-19 pandemic first emerged in early 2020, healthcare and bureaucratic systems worldwide were caught off guard and largely unprepared to deal with the scale and severi…
Regularization methods for the short-term forecasting of the Italian electric load
Alessandro Incremona, Giuseppe De Nicolao
The problem of forecasting the whole 24 profile of the Italian electric load is addressed as a multitask learning problem, whose complexity is kept under control via alternative re…
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso +2
Inspired by ideas taken from the machine learning literature, new regularization techniques have been recently introduced in linear system identification. In particular, all the ad…
Efficient Marginal Likelihood Computation for Gaussian Process Regression
Andrea Schirru, Simone Pampuri, Giuseppe De Nicolao +1
In a Bayesian learning setting, the posterior distribution of a predictive model arises from a trade-off between its prior distribution and the conditional likelihood of observed d…