Davide Tricarico

According to our database, Davide Tricarico authored at least 5 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Shao-Ning Chen, Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto, Maria Ausilia Napoli Spatafora, Alessandro Ortis, Sebastiano Battiato

Sensors, March, 2024

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

Deep Regression by Feature Regularization for COVID-19 Severity Prediction.

Davide Tricarico, Hafiza Ayesha Hoor Chaudhry, Attilio Fiandrotti, Marco Grangetto

Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021

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

2018

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

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018