BORESTA, MARCO
BORESTA, MARCO
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A mixed finite differences scheme for gradient approximation
2022 Boresta, Marco; Colombo, Tommaso; DE SANTIS, Alberto; Lucidi, Stefano
Computational issues in Optimization for Deep networks
2022 Coppola, Corrado; Papa, Lorenzo; Boresta, Marco; Amerini, Irene; Palagi, Laura
Data of patients undergoing rehabilitation programs
2020 Seccia, Ruggiero; Boresta, Marco; Fusco, Federico; Tronci, Edoardo; Di Gemma, Emanuele; Palagi, Laura; Mangone, Massimiliano; Agostini, Francesco; Bernetti, Andrea; Santilli, Valter; Damiani, Carlo; Goffredo, Michela; Franceschini, Marco
Enabling gradient-based optimization methods in problems with unreliable or absent derivatives
2022 Boresta, Marco
Exercise levels and preferences in cancer patients: A cross-sectional study
2020 Avancini, A.; Pala, V.; Trestini, I.; Tregnago, D.; Mariani, L.; Sieri, S.; Krogh, V.; Boresta, M.; Milella, M.; Pilotto, S.; Lanza, M.
What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns
2022 Cacciarelli, Davide; Boresta, Marco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A mixed finite differences scheme for gradient approximation | 2022 | Boresta, Marco; Colombo, Tommaso; DE SANTIS, Alberto; Lucidi, Stefano | |
| Computational issues in Optimization for Deep networks | 2022 | Coppola, Corrado; Papa, Lorenzo; Boresta, Marco; Amerini, Irene; Palagi, Laura | |
| Data of patients undergoing rehabilitation programs | 2020 | Seccia, Ruggiero; Boresta, Marco; Fusco, Federico; Tronci, Edoardo; Di Gemma, Emanuele; Palagi, Laura; Mangone, Massimiliano; Agostini, Francesco; Bernetti, Andrea; Santilli, Valter; Damiani, Carlo; Goffredo, Michela; Franceschini, Marco | |
| Enabling gradient-based optimization methods in problems with unreliable or absent derivatives | 2022 | Boresta, Marco | |
| Exercise levels and preferences in cancer patients: A cross-sectional study | 2020 | Avancini, A.; Pala, V.; Trestini, I.; Tregnago, D.; Mariani, L.; Sieri, S.; Krogh, V.; Boresta, M.; Milella, M.; Pilotto, S.; Lanza, M. | |
| What drives a donor? A machine learning‐based approach for predicting responses of nonprofit direct marketing campaigns | 2022 | Cacciarelli, Davide; Boresta, Marco |