Alice Bizzarri

Tutori

• Evelina Lamma
• Fabrizio Riguzzi

• Bizzarri, Alice; Yu, Chung-En; Jalaian, Brian; Riguzzi, Fabrizio; Bastian, Nathaniel D. (2024)
  A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI.
  Altro
• 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
• Bizzarri, Alice; Jalaian, Brian; Riguzzi, Fabrizio; Bastian, Nathaniel D. (2024)
  A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System. In: 2024 33rd International Conference on Computer Communications and Networks (ICCCN), Kailua-Kona, HI (USA), 29-31 July 2024, pp. 1-9. ISBN: 979-8-3503-8461-1
  Contributo in Atti di Convegno (Proceeding)
• Ferrari, Niccolò; Zanarini, Nicola; Fraccaroli, Michele; Bizzarri, Alice; Lamma, Evelina (2024)
  Integration of Deep Generative Anomaly Detection Algorithm in High-Speed Industrial Line.
  Altro
• 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
• Azzolini, Damiano; Bizzarri, Alice; Fraccaroli, Michele; Bertasi, Francesco; Lamma, ... (2023)
  A Machine Learning Pipeline to Analyse Multispectral and Hyperspectral Images: Full/Regular Research Paper (CSCI-RTHI). In: 2023 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV (USA), 13-15 December 2023, pp. 1306-1311. ISBN: 979-8-3503-6151-3
  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)
• 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)
• 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
• Fraccaroli, Michele; Mazzuchelli, Giulia; Bizzarri, Alice (2021)
  Machine Learning Techniques for Extracting Relevant Features from Clinical Data for {COVID}-19 Mortality Prediction. In: 2021 IEEE Symposium on Computers and Communications (ISCC), 05-08 September 2021, pp. 1-7. ISBN: 978-1-6654-2745-6
  Contributo in Atti di Convegno (Proceeding)