Archivio Istituzionale della RicercaSfoglia per Autore VACCHETTI, BARTOLOMEO
Mostrati risultati da 1 a 7 di 7
Cinematographic Shot Classification through Deep Learning
2020 Vacchetti, B.; Cerquitelli, T.; Antonino, R.
Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology
2022 Bethaz, Paolo; Vacchetti, Bartolomeo; Capitelli, Enrica; Nosenzo, Vladi; Chiosso, Luca; Cerquitelli, Tania
Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization
2022 DI CORSO, Evelina; Proto, Stefano; Vacchetti, Bartolomeo; Bethaz, Paolo; Cerquitelli, Tania
Cinematographic Shot Classification with Deep Ensemble Learning
2022 Vacchetti, B.; Cerquitelli, T.
Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences
2023 Vacchetti, Bartolomeo; Cerquitelli, Tania
Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences
2023 Vacchetti, Bartolomeo; Cerquitelli, Tania
LEMMS: Label Estimation of Multi-Feature Movie Segments
In corso di stampa Vacchetti, Bartolomeo; Dawit, Mureja; Cerquitelli, Tania
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Cinematographic Shot Classification through Deep Learning / Vacchetti, B.; Cerquitelli, T.; Antonino, R.. - (2020), pp. 345-350. (Intervento presentato al convegno 44th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2020 tenutosi a esp nel 2020) [10.1109/COMPSAC48688.2020.0-222]. | 1-gen-2020 | Vacchetti B.Cerquitelli T. + | Cinematographic Shot Classification through Deep Learning.pdf |
| Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology / Bethaz, Paolo; Vacchetti, Bartolomeo; Capitelli, Enrica; Nosenzo, Vladi; Chiosso, Luca; Cerquitelli, Tania. - (2022). (Intervento presentato al convegno EDBT/ICDT Workshop, 6th International workshop on Data Analytics solutions for Real-LIfe APplications tenutosi a Edinburgh, UK nel 29th March-1st April, 2022). | 1-gen-2022 | bethaz, paolovacchetti, bartolomeocerquitelli, tania + | Darli_AP_2022 (1).pdf |
| Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization / DI CORSO, Evelina; Proto, Stefano; Vacchetti, Bartolomeo; Bethaz, Paolo; Cerquitelli, Tania. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 12:10(2022), p. 5125. [10.3390/app12105125] | 1-gen-2022 | Evelina Di CorsoStefano ProtoBartolomeo VacchettiPaolo BethazTania Cerquitelli | Escape_MDPI (1).pdf; applsci-12-05125.pdf |
| Cinematographic Shot Classification with Deep Ensemble Learning / Vacchetti, B.; Cerquitelli, T.. - In: ELECTRONICS. - ISSN 2079-9292. - 11:10(2022), p. 1570. [10.3390/electronics11101570] | 1-gen-2022 | Vacchetti B.Cerquitelli T. | Cinematographic_Shot_Classification_with_Deep_Ensemble_Learning__1_.pdf |
| Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences / Vacchetti, Bartolomeo; Cerquitelli, Tania. - 13804:(2023), pp. 660-675. (Intervento presentato al convegno 17th European Conference on Computer Vision (ECCV 2022) tenutosi a Tel-Aviv nel 23-27 Ottobre 2022) [10.1007/978-3-031-25069-9_42]. | 1-gen-2023 | Vacchetti, BartolomeoTania, Cerquitelli | Movie Lens.pdf; 978-3-031-25069-9_42.pdf |
| Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences / Vacchetti, Bartolomeo; Cerquitelli, Tania. - 13804:(2023), pp. 660-675. (Intervento presentato al convegno ECCV) [10.1007/978-3-031-25069-9_42]. | 1-gen-2023 | Bartolomeo VacchettiTania Cerquitelli | - |
| LEMMS: Label Estimation of Multi-Feature Movie Segments / Vacchetti, Bartolomeo; Dawit, Mureja; Cerquitelli, Tania. - ELETTRONICO. - (In corso di stampa), pp. 3027-3035. (Intervento presentato al convegno ICCV 2023 Workshop on AI for Creative Video Editing and Understanding nel 2 Ottobre 2023). | In corso di stampa | Vacchetti BartolomeoCerquitelli Tania + | 14.pdf |
Mostrati risultati da 1 a 7 di 7
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