Search Results for author: Nicola Picchiotti

Found 3 papers, 1 papers with code

Logic Constraints to Feature Importances

no code implementations13 Oct 2021 Nicola Picchiotti, Marco Gori

In recent years, Artificial Intelligence (AI) algorithms have been proven to outperform traditional statistical methods in terms of predictivity, especially when a large amount of data was available.

Fairness Feature Importance

Clustering-Based Interpretation of Deep ReLU Network

1 code implementation13 Oct 2021 Nicola Picchiotti, Marco Gori

Amongst others, the adoption of Rectified Linear Units (ReLUs) is regarded as one of the ingredients of the success of deep learning.

Clustering Feature Importance

COVID-19 pandemic: a mobility-dependent SEIR model with undetected cases in Italy, Europe and US

no code implementations18 May 2020 Nicola Picchiotti, Monica Salvioli, Elena Zanardini, Francesco Missale

OBJECTIVES: to describe the first wave of the COVID-19 pandemic with a focus on undetected cases and to evaluate different post-lockdown scenarios.

Cannot find the paper you are looking for? You can Submit a new open access paper.