Machine Learning

Efficient Machine Learning for new physics discoveries

Searching for new physics, i.e., physical laws that go beyond the reference models, is the absolute priority of the field. In this thesis, a novel machine learning approach for model-independent new physics searches is presented, based on the work by …

Tennis ball tracking using Kalman filter

Digital Signal and Image Processing, University of Genoa (90520) - Fall 2019 - Final project

Machine learning methods for the electricity market

Machine Learning, University of Genoa (90948) - Fall 2019 - Final project