Search Results for author: Tommaso Scarlatti

Found 2 papers, 2 papers with code

Date Published Github Stars

Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario

1 code implementation • 13 Oct 2020 • Sebastiano Antenucci, Simone Boglio, Emanuele Chioso, Ervin Dervishaj, Shuwen Kang, Tommaso Scarlatti, Maurizio Ferrari Dacrema

In this paper we provide an overview of the approach we used as team Creamy Fireflies for the ACM RecSys Challenge 2018.

3
Paper
Code

Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread

1 code implementation • 10 Oct 2020 • Alessandro Paticchio, Tommaso Scarlatti, Marios Mattheakis, Pavlos Protopapas, Marco Brambilla

Studying the dynamics of COVID-19 is of paramount importance to understanding the efficiency of restrictive measures and develop strategies to defend against upcoming contagion waves.

4
Paper
Code
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