BIZZARRI, ALICE
BIZZARRI, ALICE
Dipartimento di Scienze chimiche, farmaceutiche ed agrarie
A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images
2023 Azzolini, D.; Bizzarri, A.; Fraccaroli, M.; Bertasi, F.; Lamma, E.
A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System
2024 Bizzarri, A.; Jalaian, B.; Riguzzi, F.; Bastian, N. D.
Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach
2023 Bellodi, Elena; Bertozzi, Davide; Bizzarri, Alice; Favalli, Michele; Fraccaroli, Michele; Zese, Riccardo
Exploiting CNN’s visual explanations to drive anomaly detection
2024 Fraccaroli, M.; Bizzarri, A.; Casellati, P.; Lamma, E.
Integration between constrained optimization and deep networks: a survey
file con accesso da definire2024 Bizzarri, Alice; Fraccaroli, Michele; Lamma, Evelina; Riguzzi, Fabrizio
Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction
2021 Fraccaroli, Michele; Mazzuchelli, Giulia; Bizzarri, Alice
Macular Hole Surgery and Retinal Tectonics: The Impact of Internal Limiting Membrane Peeling Size on Tangential Retinal Displacement
2025 Pellegrini, Marco; Adamo, Ginevra; Vivarelli, Chiara; Bizzarri, Alice; Mondin, Riccardo; Talli, Pietro Maria; Nasini, Francesco; Giannaccare, Giuseppe; Mura, Marco
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
Neural-Symbolic System for Predicting COVID-19 Positivity
file con accesso da definire2022 NGUEMBANG FADJA, Arnaud; Fraccaroli, Michele; Bizzarri, Alice
Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection
file con accesso da definire2025 Bizzarri, A.; Yu, C. -E.; Jalaian, B.; Riguzzi, F.; Bastian, N. D.
Regularization in Probabilistic Inductive Logic Programming
2023 Gentili, E.; Bizzarri, A.; Azzolini, D.; Zese, R.; Riguzzi, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images | 2023 | Azzolini, D.; Bizzarri, A.; Fraccaroli, M.; Bertasi, F.; Lamma, E. | |
| A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System | 2024 | Bizzarri, A.; Jalaian, B.; Riguzzi, F.; Bastian, N. D. | |
| Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach | 2023 | Bellodi, Elena; Bertozzi, Davide; Bizzarri, Alice; Favalli, Michele; Fraccaroli, Michele; Zese, R... espandi | |
| Exploiting CNN’s visual explanations to drive anomaly detection | 2024 | Fraccaroli, M.; Bizzarri, A.; Casellati, P.; Lamma, E. | |
| Integration between constrained optimization and deep networks: a survey | 2024 | Bizzarri, Alice; Fraccaroli, Michele; Lamma, Evelina; Riguzzi, Fabrizio | file con accesso da definire |
| Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction | 2021 | Fraccaroli, Michele; Mazzuchelli, Giulia; Bizzarri, Alice | |
| Macular Hole Surgery and Retinal Tectonics: The Impact of Internal Limiting Membrane Peeling Size on Tangential Retinal Displacement | 2025 | Pellegrini, Marco; Adamo, Ginevra; Vivarelli, Chiara; Bizzarri, Alice; Mondin, Riccardo; Talli, P... espandi | |
| 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 | |
| Neural-Symbolic System for Predicting COVID-19 Positivity | 2022 | NGUEMBANG FADJA, Arnaud; Fraccaroli, Michele; Bizzarri, Alice | file con accesso da definire |
| Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection | 2025 | Bizzarri, A.; Yu, C. -E.; Jalaian, B.; Riguzzi, F.; Bastian, N. D. | file con accesso da definire |
| Regularization in Probabilistic Inductive Logic Programming | 2023 | Gentili, E.; Bizzarri, A.; Azzolini, D.; Zese, R.; Riguzzi, F. |