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.
AIDA4Edge: Twinning for Excellence in Adaptive Edge Artificial Intelligence
2025 Andjelkovic, Marko; Syed, Rizwan Tariq; Veronesi, Alessandro; Vargas, Fabian; Ulbricht, Markus; Poehls, Leticia Bolzani; Krstic, Milos; Bertozzi, Davide; Jones, Edward G.; Rhodes, Oliver; Zese, Riccardo; Favalli, Michele; Bizzarri, Alice; Lamma, Evelina; Gavanelli, Marco; Bellodi, Elena; Peric, Zoran; Nikolic, Jelena; Dincic, Milan; Jovanovic, Aleksandra; Ciric, Dejan; Vucic, Nikola; Peric, Sofija; Jovanovic, Jelena; Stojanovic, Milica; Nikolic, Tatjana; Nikolic, Goran; Nedeljkovic, Jelena; Dankovic, Danijel; Zivanovic, Emilija; Marjanovic, Milos; Veljkovic, Sandra; Mitrovic, Nikola; Predic, Bratislav; Milovanovic, Tamara
Benchmarking in Neuro-Symbolic AI
file con accesso da definire2026 Manhaeve, R.; Giannini, F.; Ali, M.; Azzolini, D.; Bizzarri, A.; Borghesi, A.; Bortolotti, S.; De Raedt, L.; Dhami, D.; Diligenti, M.; Dumancic, S.; Faltings, B.; Gentili, E.; Gerevini, A.; Gori, M.; Guns, T.; Homola, M.; Kersting, K.; Lehmann, J.; Lombardi, M.; Lorello, L.; Marconato, E.; Melacci, S.; Passerini, A.; Paul, D.; Riguzzi, F.; Teso, S.; Yorke-Smith, N.; Lippi, M.
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
2024 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
2025 Bizzarri, A.; Yu, C. -E.; Jalaian, B.; Riguzzi, F.; Bastian, N. D.
Neurosymbolic AI for network intrusion detection systems: A survey
2025 Bizzarri, A.; Yu, C. -E. J.; Jalaian, B.; Riguzzi, F.; Bastian, N. D.
Regularization in Probabilistic Inductive Logic Programming
2023 Gentili, E.; Bizzarri, A.; Azzolini, D.; Zese, R.; Riguzzi, F.
SQNR Analysis of Power-of-Two Level Quantizer and Integer 3 Quantizer
2025 Perić, Sofija; Perić, Zoran; Jovanović, Aleksandra; Nikolić, Jelena; Zese, Riccardo; Rhodes, Oliver; Bizzarri, Alice
| 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. | |
| AIDA4Edge: Twinning for Excellence in Adaptive Edge Artificial Intelligence | 2025 | Andjelkovic, Marko; Syed, Rizwan Tariq; Veronesi, Alessandro; Vargas, Fabian; Ulbricht, Markus; P...oehls, Leticia Bolzani; Krstic, Milos; Bertozzi, Davide; Jones, Edward G.; Rhodes, Oliver; Zese, Riccardo; Favalli, Michele; Bizzarri, Alice; Lamma, Evelina; Gavanelli, Marco; Bellodi, Elena; Peric, Zoran; Nikolic, Jelena; Dincic, Milan; Jovanovic, Aleksandra; Ciric, Dejan; Vucic, Nikola; Peric, Sofija; Jovanovic, Jelena; Stojanovic, Milica; Nikolic, Tatjana; Nikolic, Goran; Nedeljkovic, Jelena; Dankovic, Danijel; Zivanovic, Emilija; Marjanovic, Milos; Veljkovic, Sandra; Mitrovic, Nikola; Predic, Bratislav; Milovanovic, Tamara | |
| Benchmarking in Neuro-Symbolic AI | 2026 | Manhaeve, R.; Giannini, F.; Ali, M.; Azzolini, D.; Bizzarri, A.; Borghesi, A.; Bortolotti, S.; De... Raedt, L.; Dhami, D.; Diligenti, M.; Dumancic, S.; Faltings, B.; Gentili, E.; Gerevini, A.; Gori, M.; Guns, T.; Homola, M.; Kersting, K.; Lehmann, J.; Lombardi, M.; Lorello, L.; Marconato, E.; Melacci, S.; Passerini, A.; Paul, D.; Riguzzi, F.; Teso, S.; Yorke-Smith, N.; Lippi, M. | file con accesso da definire |
| 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 | |
| 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 | |
| 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...ietro 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 | 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. | |
| Neurosymbolic AI for network intrusion detection systems: A survey | 2025 | Bizzarri, A.; Yu, C. -E. J.; Jalaian, B.; Riguzzi, F.; Bastian, N. D. | |
| Regularization in Probabilistic Inductive Logic Programming | 2023 | Gentili, E.; Bizzarri, A.; Azzolini, D.; Zese, R.; Riguzzi, F. | |
| SQNR Analysis of Power-of-Two Level Quantizer and Integer 3 Quantizer | 2025 | Perić, Sofija; Perić, Zoran; Jovanović, Aleksandra; Nikolić, Jelena; Zese, Riccardo; Rhodes, Oliv...er; Bizzarri, Alice |