Ph.D. in Intelligenza Artificiale , 37th cycle (2021-2024)
Ph.D. obtained in 2025
Dissertation:
Neuro-Symbolic Integration in Artificial Intelligence and its Applications (Abstract)
Tutors:
Evelina Lamma Fabrizio RiguzziPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Bizzarri, Alice (2025)
Neuro-Symbolic Integration in Artificial Intelligence and its Applications. relatore: LAMMA, EVELINA; RIGUZZI, FABRIZIO; , 37. XXXVII Ciclo, P.: 171
Doctoral Thesis - Bizzarri, Alice; Fraccaroli, Michele; Lamma, Evelina; Riguzzi, Fabrizio (2024)
Integration between constrained optimization and deep networks: a survey. In: FRONTIERS IN ARTIFICIAL INTELLIGENCE, vol. 7. ISSN 2624-8212
Contributo su Rivista - Fraccaroli, Michele; Bizzarri, Alice; Casellati, Paolo; Lamma, Evelina (2024)
Exploiting CNN’s visual explanations to drive anomaly detection. In: APPLIED INTELLIGENCE, vol. 54, pp. 414-427. ISSN 0924-669X
Contributo su Rivista - Bizzarri, Alice; Yu, Chung-En; Jalaian, Brian; Riguzzi, Fabrizio; Bastian, Nathaniel D. (2024)
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI.
Altro - Ferrari, Niccolò; Zanarini, Nicola; Fraccaroli, Michele; Bizzarri, Alice; Lamma, Evelina (2024)
Integration of Deep Generative Anomaly Detection Algorithm in High-Speed Industrial Line.
Altro - Gentili, Elisabetta; Bizzarri, Alice; Azzolini, Damiano; Zese, Riccardo; Riguzzi, ... (2023)
Regularization in Probabilistic Inductive Logic Programming. In: Inductive Logic Programming 32nd International Conference, ILP 2023, Bari (ITA), November 13–15, 2023, pp. 16-29. ISSN 0302-9743. ISBN: 978-3-031-49298-3
Contributo in Atti di Convegno (Proceeding) - Bellodi, Elena; Bertozzi, Davide; Bizzarri, Alice; Favalli, Michele; Fraccaroli, ... (2023)
Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach. In: 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, Singapore, Singapore, 18-21 December 2023, pp. 171-178. ISBN: 979-8-3503-9361-3
Contributo in Atti di Convegno (Proceeding) - Fadja, Arnaud Nguembang; Fraccaroli, Michele; Bizzarri, Alice; Mazzuchelli, Giulia; ... (2022)
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients. In: MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, vol. 60, pp. 3461-3474. ISSN 0140-0118
Contributo su Rivista