Alice Bizzarri

PhD Student - Dottorato Nazionale in Intelligenza Artificiale per Industria 4.0 - "Neural symbolic computation for Industry 4.0"
Dipartimento di Ingegneria, Università di Ferrara,
Laboratorio 331

Blocco A, Polo Scientifico Tecnologico
University of Ferrara
Via Saragat 1, 44122, Ferrara, Italy

E-Mail: alice.bizzarri@unife.it
Ricevimento: su appuntamento richiesto via email o telefono..

Publications

[2]

Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, and Marco Lippi. Benchmarking in neuro-symbolic ai. In Proceedings of The 4th International Joint Conference on Learning & Reasoning, 2025. [ bib ]

[1]

Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, and Nathaniel D. Bastian. Neuro-symbolic integration for open set recognition in network intrusion detection. In Alessandro Artale, Gabriella Cortellessa, and Marco Montali, editors, AIxIA 2024 -- Advances in Artificial Intelligence, pages 50--63, Cham, 2025. Springer Nature Switzerland. [ bib | DOI ]

[4]

Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, and Nathaniel D. Bastian. A neuro-symbolic artificial intelligence network intrusion detection system. In International Conference on Computer Communications and Networks, ICCCN, 2024. [ bib | DOI ]

[3]

Damiano Azzolini, Alice Bizzarri, Michele Fraccaroli, Francesco Bertasi, and Evelina Lamma. 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), pages 1306--1311, 2023. [ bib | DOI ]

[2]

Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, and Fabrizio Riguzzi. Integration between constrained optimization and deep networks: a survey. Frontiers in Artificial Intelligence, 7, 2024. [ bib | DOI | http ]

[1]

Niccolò Ferrari, Nicola Zanarini, Michele Fraccaroli, Alice Bizzarri, and Evelina Lamma. Integration of deep generative anomaly detection algorithm in high-speed industrial line. 2024. [ bib | http ]

[3]

Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, and Fabrizio Riguzzi. Regularization in probabilistic inductive logic programming. In Elena Bellodi, Francesca Alessandra Lisi, and Riccardo Zese, editors, Inductive Logic Programming - ILP 2023, volume 14363 of Lecture Notes in Computer Science, pages 16--29, Cham, 2023. Springer Nature Switzerland. [ bib | DOI | http ]

[2]

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, and Evelina Lamma. Exploiting cnn's visual explanations to drive anomaly detection. Applied Intelligence, 2023. [ bib | DOI | http ]

[1]

Elena Bellodi, Davide Bertozzi, Alice Bizzarri, Michele Favalli, Michele Fraccaroli, and Riccardo Zese. Efficient resource-aware neural architecture search with a neuro-symbolic approach. pages 171--178, 2023. [ bib | DOI ]

[2]

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, and Evelina Lamma. Cross entropy overlap distance. Accepted and Presented at ITAL-IA 2022, workshop on AI for Industry, feb 2022. [ bib | .pdf ]

[1]

Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, and Evelina Lamma. Neural-symbolic ensemble learning for early-stage prediction of critical state of covid-19 patients. Medical & Biological Engineering & Computing, 2022. [ bib | DOI | http ]

[1]

Michele Fraccaroli, Giulia Mazzucchelli, and Alice Bizzarri. Machine learning techniques for extracting relevant features from clinical data for COVID-19 mortality prediction. In 2021 Symposium on Computers and Communications (ISCC): 26th IEEE Symposium on Computers and Communications - Workshop on ICT Solutions for eHealth (ICTS4eHealth) (ICTS4eHealth2021), pages 1--7, Athens, Greece, September 2021. [ bib | DOI ]