SCOMMEGNA, LEONARDO
SCOMMEGNA, LEONARDO
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A Markov Regenerative Model of Software Rejuvenation Beyond the Enabling Restriction
2022 Carnevali L.; Paolieri M.; Reali R.; Scommegna L.; Vicario E.
Echo State Learning for User Trajectory Prediction to Minimize Online Game Breaks in 6G Terahertz Networks
2023 Picano B, Scommegna L, Vicario E, Fantacci R.
Historical handwritten document segmentation by using a weighted loss
2018 Capobianco, Samuele*; Scommegna, Leonardo; Marinai, Simone
Taming Runtime Dependencies across Transient Stateful Components in the Business Logic of Software Architectures
2023 Leonardo Scommegna
Using the ORIS Tool and the SIRIO Library for Model-Driven Engineering of Quantitative Analytics
2023 Carnevali L.; Paolieri M.; Reali R.; Scommegna L.; Tammaro F.; Vicario E.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Markov Regenerative Model of Software Rejuvenation Beyond the Enabling Restriction | 2022 | Carnevali L.; Paolieri M.; Reali R.; Scommegna L.; Vicario E. | |
| Echo State Learning for User Trajectory Prediction to Minimize Online Game Breaks in 6G Terahertz Networks | 2023 | Picano B, Scommegna L, Vicario E, Fantacci R. | |
| Historical handwritten document segmentation by using a weighted loss | 2018 | Capobianco, Samuele*; Scommegna, Leonardo; Marinai, Simone | |
| Taming Runtime Dependencies across Transient Stateful Components in the Business Logic of Software Architectures | 2023 | Leonardo Scommegna | |
| Using the ORIS Tool and the SIRIO Library for Model-Driven Engineering of Quantitative Analytics | 2023 | Carnevali L.; Paolieri M.; Reali R.; Scommegna L.; Tammaro F.; Vicario E. |