TRICARICO, DAVIDE
TRICARICO, DAVIDE
MATEMATICA "GIUSEPPE PEANO"
Convolutional Neural Network-Based Automatic Analysis of Chest Radiographs for the Detection of COVID-19 Pneumonia: A Prioritizing Tool in the Emergency Department, Phase I Study and Preliminary “Real Life” Results
2022-01-01 Tricarico, Davide; Calandri, Marco; Barba, Matteo; Piatti, Clara; Geninatti, Carlotta; Basile, Domenico; Gatti, Marco; Melis, Massimiliano; Veltri, Andrea
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case
2022-01-01 Giordano D.; Giobergia F.; Pastor E.; La Macchia A.; Cerquitelli T.; Baralis E.; Mellia M.; Tricarico D.
Deep Regression by Feature Regularization for COVID-19 Severity Prediction
2022-01-01 Tricarico D.; Chaudhry H.A.H.; Fiandrotti A.; Grangetto M.
Dissecting a data-driven prognostic pipeline: A powertrain use case
2021-01-01 Giordano D.; Pastor E.; Giobergia F.; Cerquitelli T.; Baralis E.; Mellia M.; Neri A.; Tricarico D.
Image identification and retrieval for component fault analysis
2022-01-01 Davide Tricarico; Alessandra Neri; Giovanni Tomasino; Dario Pietro Cavallo; Daniele Gionta
Method and system for predicting system status
2022-01-01 Alessandra Neri; Maria Camuglia; Alessia Tuninetti; Elena Baralis; Flavio Giobergia; Davide Tricarico,
Mining Sensor Data for Predictive Maintenance in the Automotive Industry
2018-01-01 Giobergia, F; Baralis, E; Camuglia, M; Cerquitelli, T; Mellia, M; Neri, A; Tricarico, D; Tuninetti, A
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Convolutional Neural Network-Based Automatic Analysis of Chest Radiographs for the Detection of COVID-19 Pneumonia: A Prioritizing Tool in the Emergency Department, Phase I Study and Preliminary “Real Life” Results | 2022 | Tricarico, Davide; Calandri, Marco; Barba, Matteo; Piatti, Clara; Geninatti, Carlotta; Basile, Domenico; Gatti, Marco; Melis, Massimiliano; Veltri, Andrea | |
| Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case | 2022 | Giordano D.; Giobergia F.; Pastor E.; La Macchia A.; Cerquitelli T.; Baralis E.; Mellia M.; Tricarico D. | |
| Deep Regression by Feature Regularization for COVID-19 Severity Prediction | 2022 | Tricarico D.; Chaudhry H.A.H.; Fiandrotti A.; Grangetto M. | |
| Dissecting a data-driven prognostic pipeline: A powertrain use case | 2021 | Giordano D.; Pastor E.; Giobergia F.; Cerquitelli T.; Baralis E.; Mellia M.; Neri A.; Tricarico D. | |
| Image identification and retrieval for component fault analysis | 2022 | Davide Tricarico; Alessandra Neri; Giovanni Tomasino; Dario Pietro Cavallo; Daniele Gionta | |
| Method and system for predicting system status | 2022 | Alessandra Neri; Maria Camuglia; Alessia Tuninetti; Elena Baralis; Flavio Giobergia; Davide Tricarico, | |
| Mining Sensor Data for Predictive Maintenance in the Automotive Industry | 2018 | Giobergia, F; Baralis, E; Camuglia, M; Cerquitelli, T; Mellia, M; Neri, A; Tricarico, D; Tuninetti, A |