Exploring Artificial Neural Networks Efficiency in Tiny Wearable Devices for Human Activity Recognition. - Emanuele Lattanzi; Matteo Donati; Valerio Freschi (Sensors, 2022)

Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders (SHORT PAPER). - Christel Sirocchi; Federica Biancucci; Matteo Donati; Nunzio D'Amore; Riccardo Benedetti; Alessandro Bogliolo; Stefano Ferretti; Mauro Magnani; Michele Menotta; Muhammad Suffian Nizami; Sara Montagna (HC@AIxIA, 2023)

Molecular Fingerprints-Based Machine Learning for Metabolic Profiling. - Christel Sirocchi; Federica Biancucci; Muhammad Suffian Nizami; Riccardo Benedetti; Matteo Donati; Stefano Ferretti; Alessandro Bogliolo; Mauro Magnani; Michele Menotta; Sara Montagna (PKDD/ECML Workshops (4), 2023)

Exploring machine learning for untargeted metabolomics using molecular fingerprints. - Christel Sirocchi; Federica Biancucci; Matteo Donati; Alessandro Bogliolo; Mauro Magnani; Michele Menotta; Sara Montagna (Comput. Methods Programs Biomed., 2024)