Mining Sensor Data for Predictive Maintenance in the Automotive Industry. - Flavio Giobergia; Elena Baralis; Maria Camuglia; Tania Cerquitelli; Marco Mellia; Alessandra Neri; Davide Tricarico; Alessia Tuninetti (DSAA, 2018)

Dissecting a data-driven prognostic pipeline: A powertrain use case. - Danilo Giordano; Eliana Pastor; Flavio Giobergia; Tania Cerquitelli; Elena Baralis; Marco Mellia; Alessandra Neri; Davide Tricarico (Expert Syst. Appl., 2021)

Deep Regression by Feature Regularization for COVID-19 Severity Prediction. - Davide Tricarico; Hafiza Ayesha Hoor Chaudhry; Attilio Fiandrotti; Marco Grangetto (ICIAP Workshops, 2022)

Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. - Danilo Giordano; Flavio Giobergia; Eliana Pastor; Antonio La Macchia; Tania Cerquitelli; Elena Baralis; Marco Mellia; Davide Tricarico (Comput. Ind., 2022)

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. - Fares Bougourzi; Cosimo Distante; Fadi Dornaika; Abdelmalik Taleb-Ahmed; Abdenour Hadid; Suman Chaudhary; Wanting Yang; Yan Qiang; Talha Anwar; Mihaela Elena Breaban; Chih-Chung Hsu; Shen-Chieh Tai; et al. (Sensors, 2024)