A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification. - Umberto Michelucci; Michela Sperti; Dario Piga; Francesca Venturini; Marco Agostino Deriu (Algorithms, 2021)

Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques. - Francesca Venturini; Michela Sperti; Umberto Michelucci; Ivo Herzig; Michael Baumgartner 002; Josep Palau Caballero; Arturo Jimenez; Marco Agostino Deriu (CoRR, 2021)

Physico-chemical properties extraction from the fluorescence spectrum with 1D-convolutional neural networks: application to olive oil. - Francesca Venturini; Michela Sperti; Umberto Michelucci; Arnaud Gucciardi; Vanessa M. Martos; Marco Agostino Deriu (CoRR, 2022)

Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils. - Francesca Venturini; Michela Sperti; Umberto Michelucci; Arnaud Gucciardi; Vanessa M. Martos; Marco Agostino Deriu (CoRR, 2023)

An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR). - Karim Kassem; Michela Sperti; Andrea Cavallo; Andrea Mario Vergani; Davide Fassino; Monica Moz; Alessandro Liscio; Riccardo Banali; Michael Dahlweid; Luciano Benetti; Francesco Bruno; Guglielmo Gallone; et al. (Artif. Intell. Medicine, 2024)