FRACCAROLI, MICHELE
FRACCAROLI, MICHELE
Dipartimento di Ingegneria
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
2020 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach
file con accesso da definire2023 Bellodi, Elena; Bertozzi, Davide; Bizzarri, Alice; Favalli, Michele; Fraccaroli, Michele; Zese, Riccardo
EVALUATION OF EROSION DRIVES THROUGH A MACHINE LEARNING ALGORITHM IN A SOFT ROCKY CLIFF (Ancona, Italy)
file con accesso da definire2023 Fullin, Nicola; Fraccaroli, Michele; Ghirotti, Monica
Explainable Deep Learning
2023 Fraccaroli, Michele
Exploiting Parameters Learning for Hyper-parameters Optimization in Deep Neural Networks
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction
2021 Fraccaroli, Michele; Mazzuchelli, Giulia; Bizzarri, Alice
Neural Networks and Deep Learning Fundamentals
file con accesso da definire2022 Zese, Riccardo; Bellodi, Elena; Fraccaroli, Michele; Riguzzi, Fabrizio; Lamma, Evelina
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients
2022 Fadja, Arnaud Nguembang; Fraccaroli, Michele; Bizzarri, Alice; Mazzuchelli, Giulia; Lamma, Evelina
Symbolic DNN-Tuner
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters
2022 Fraccaroli, M.; Lamma, E.; Riguzzi, F.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules | 2020 | Fraccaroli, M.; Lamma, E.; Riguzzi, F. | |
Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach | 2023 | Bellodi, Elena; Bertozzi, Davide; Bizzarri, Alice; Favalli, Michele; Fraccaroli, Michele; Zese, R...iccardo | file con accesso da definire |
EVALUATION OF EROSION DRIVES THROUGH A MACHINE LEARNING ALGORITHM IN A SOFT ROCKY CLIFF (Ancona, Italy) | 2023 | Fullin, Nicola; Fraccaroli, Michele; Ghirotti, Monica | file con accesso da definire |
Explainable Deep Learning | 2023 | Fraccaroli, Michele | |
Exploiting Parameters Learning for Hyper-parameters Optimization in Deep Neural Networks | 2022 | Fraccaroli, M.; Lamma, E.; Riguzzi, F. | |
Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction | 2021 | Fraccaroli, Michele; Mazzuchelli, Giulia; Bizzarri, Alice | |
Neural Networks and Deep Learning Fundamentals | 2022 | Zese, Riccardo; Bellodi, Elena; Fraccaroli, Michele; Riguzzi, Fabrizio; Lamma, Evelina | file con accesso da definire |
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients | 2022 | Fadja, Arnaud Nguembang; Fraccaroli, Michele; Bizzarri, Alice; Mazzuchelli, Giulia; Lamma, Evelina | |
Symbolic DNN-Tuner | 2022 | Fraccaroli, M.; Lamma, E.; Riguzzi, F. | |
Symbolic DNN-Tuner: A Python and ProbLog-based system for optimizing Deep Neural Networks hyperparameters | 2022 | Fraccaroli, M.; Lamma, E.; Riguzzi, F. |