Tommaso Scarlatti

Software Engineer @AWS

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Publications 📝

My theses and a (short) list of publications that I wrote during my academic years.


Theses

  • Improving Domain-specific Transfer Learning for Image Recognition and Differential Equations
    MSc Computer Science and Engineering
    Politecnico di Milano - Harvard University
    Prof. Marco Brambilla, Prof. Pavlos Protopapas
    ⏬ Download (.pdf)

  • Analysis and Development of a Token Game Component in Java for Stochastic Petri Nets in Oris Tool
    BSc Computer Science and Engineering
    University of Florence
    Prof. Enrico Vicario
    ⏬ Download (.pdf)

Publications

  • Alessandro Paticchio, Tommaso Scarlatti, Marco Brambilla, Marios Mattheakis, Pavlos Protopapas Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread, NeurIPS, December 06-11, 2020.
    📃 Paper (.pdf)
    🖼️ Poster (.pdf)

  • Sebastiano Antenucci, Simone Boglio, Emanuele Chioso, Ervin Dervishaj, Shuwen Kang, Tommaso Scarlatti, Maurizio Ferrari Dacrema, Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario, Proceedings of the ACM Recommender Systems Challenge 2018, p.1-6, October 02-02, 2018, Vancouver, BC, Canada.
    📃 Paper (.pdf)
    🖼️ Poster (.pdf)