MICHELA PROIETTI

PhD Student

PhD program:: XXXVIII
email: mproietti@diag.uniroma1.it
building: Department of Computer, Control, and Management Engineering, via Ariosto 25, Rome

supervisor: Roberto Capobianco

Ph.D. student in Artificial Intelligence at the Department of Computer, Control and Management Engineering "Antonio Ruberti" at Sapienza University of Rome, under the supervision of prof. Roberto Capobianco.

Currently a member of the Cognitive Cooperative Robots Laboratory (Ro.Co.Co) and the Knowledge, Reasoning and Learning Research Group.

My interests include explainable artificial intelligence, continual learning and representation learning, together with their close link with neuroscience.

I previously obtained a M.Sc. in Artificial Intelligence and Robotics and a B.Sc. in Computer and Control Engineering, both from Sapienza University. During the development of my master's thesis, I had the opportunity to collaborate with the Rome Center for Molecular Design (RCMD), at the Department of Drug Chemistry and Technology of Sapienza University, coordinated by prof. Rino Ragno.

Research products

11573/1690926 - 2023 - Memory Replay For Continual Learning With Spiking Neural Networks

Proietti, Michela; Ragno, Alessio; Capobianco, Roberto - 04b Atto di convegno in volume

conference: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) (Rome; Italy)

book: Proceedings of the 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) - (979-8-3503-2411-2; 979-8-3503-2412-9)

11573/1691190 - 2023 - Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening

Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto - 01a Articolo in rivista

paper: MACHINE LEARNING (Springer Nature Hingham, MA: Kluwer Academic Publishers) pp. 2013-2044 - issn: 0885-6125 - wos: WOS:001091343300001 (0) - scopus: 2-s2.0-85175337233 (0)

11573/1680634 - 2022 - Explainable AI in drug design: self-interpretable graph neural network for molecular property prediction using concept whitening

Proietti, Michela; Ragno, Alessio; Capobianco, Roberto - 04f Poster

conference: 3rd Molecules Medicinal Chemistry Symposium: Shaping Medicinal Chemistry for the New Decade (Rome; Italy)

book: 2022 - ()