Archivio Istituzionale della RicercaAGOSTINI, FEDERICO
AGOSTINI, FEDERICO
Dipartimento di Automatica e Informatica
091589
Mostra
records
Risultati 1 - 4 di 4 (tempo di esecuzione: 0.005 secondi).
Onset time detection of acoustic emission signals for structural monitoring with deep learning
In corso di stampa Melchiorre, Jonathan; Agostini, Federico; D'Amato, Leo; Rosso, MARCO MARTINO
A post processing pipeline to prepare raw data for machine learning algorithms in cardiac magnetic resonance imaging
2022 Agostini, F; Campese, S; Vianello, R; Pizzi, M; Cipriani, A; Zanetti, M
Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks
2022 Campese, Stefano; Agostini, Federico; Pazzini, Jacopo; Pozza, Davide
Myocardial fibrosis detection using kernel methods: preliminary results from a cardiac magnetic resonance study
2022 Campese, S; Agostini, F; Sciarretta, T; Pizzi, M; Cipriani, A; Zanetti, M
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Onset time detection of acoustic emission signals for structural monitoring with deep learning / Melchiorre, Jonathan; Agostini, Federico; D'Amato, Leo; Rosso, MARCO MARTINO - In: Titolo volume non avvalorato[s.l] : Springer, In corso di stampa. | In corso di stampa | Jonathan MelchiorreFederico AgostiniLeo D'AmatoMarco Martino Rosso | WIRN_2023___Onset_Time_Detection_of_Acoustic_Emission_Signals_for_Structural_Monitoring_with_Deep_Learning__FULL_PAPER_.pdf |
| A post processing pipeline to prepare raw data for machine learning algorithms in cardiac magnetic resonance imaging / Agostini, F; Campese, S; Vianello, R; Pizzi, M; Cipriani, A; Zanetti, M. - In: EUROPEAN HEART JOURNAL. CARDIOVASCULAR IMAGING. - ISSN 2047-2404. - 23:Supplement_2(2022). [10.1093/ehjci/jeac141.017] | 1-gen-2022 | Agostini, F + | jeac141.017.pdf; ESC_raw_data_pipeline.pdf |
| Beyond Transformers: fault type detection in maintenance tickets with Kernel Methods, Boost Decision Trees and Neural Networks / Campese, Stefano; Agostini, Federico; Pazzini, Jacopo; Pozza, Davide. - (2022), pp. 1-8. (Intervento presentato al convegno 2022 IEEE World Congress on Computational Intelligence tenutosi a Padua (Italy) nel 18-23 July 2022) [10.1109/IJCNN55064.2022.9892980]. | 1-gen-2022 | Agostini,Federico + | poster_a1.pdf; Beyond_Transformers_fault_type_detection_in_maintenance_tickets_with_Kernel_Methods_Boost_Decision_Trees_and_Neural_Networks.pdf |
| Myocardial fibrosis detection using kernel methods: preliminary results from a cardiac magnetic resonance study / Campese, S; Agostini, F; Sciarretta, T; Pizzi, M; Cipriani, A; Zanetti, M. - In: EUROPEAN HEART JOURNAL. CARDIOVASCULAR IMAGING. - ISSN 2047-2404. - 23:Supplement_2(2022). [10.1093/ehjci/jeac141.005] | 1-gen-2022 | Agostini, F + | jeac141.005.pdf; ESC_analysis.pdf |