Using Positive, Unlabeled, and Hard Negative Examples for Hierarchical Classification of Enzyme Promiscuity

Gian Marco Visani

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Gian Marco Visani

Student, Tufts University

I have been working alongside Computer Science professors since the summer of 2018, pursuing independent research projects aimed at advancing the field of Systems Biology with the help of Machine Learning techniques. My main areas of interest are Machine Learning (also DL and RL), Quantum Mechanics and Quantum Computing, which I like to consider both from the engineering as well as the philosophical perspective.

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