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Davide Tricarico
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2020 – today
- 2024
- [j3]Fares Bougourzi
, Cosimo Distante
COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors 24(5): 1557 (2024) - 2022
- [j2]Danilo Giordano
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case. Comput. Ind. 134: 103554 (2022) - [c2]Davide Tricarico
Deep Regression by Feature Regularization for COVID-19 Severity Prediction. ICIAP Workshops 2022: 496-507 - 2021
- [j1]Danilo Giordano
Dissecting a data-driven prognostic pipeline: A powertrain use case. Expert Syst. Appl. 180: 115109 (2021)
2010 – 2019
- 2018
- [c1]Flavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia
Mining Sensor Data for Predictive Maintenance in the Automotive Industry. DSAA 2018: 351-360
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last updated on 2024-05-06 20:27 CEST by the dblp team
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