Alice Bizzarri

According to our database, Alice Bizzarri authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Integration of deep generative Anomaly Detection algorithm in high-speed industrial line.

Niccolò Ferrari, Nicola Zanarini, Michele Fraccaroli, Alice Bizzarri, Evelina Lamma

CoRR, March, 2026

Special Session: Optimizing Edge AI - Current Challenges and the Neuromorphic Outlook.

Milan R. Dincic, Zoran Peric, Davide Bertozzi, Alice Bizzarri, Rizwan Tariq Syed, Edward G. Jones, Riccardo Zese, Marko S. Andjelkovic, Fabian Luis Vargas, Milos Krstic, Oliver Rhodes, Modhe Almelihi, Tamara Milovanovic, Ivan Popovic, Sofija Peric

Proceedings of the 29th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2026

2025

Neurosymbolic AI for network intrusion detection systems: A survey.

Alice Bizzarri, Chung-En Johnny Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian

J. Inf. Secur. Appl., 2025

AIDA4Edge: Twinning for Excellence in Adaptive Edge Artificial Intelligence.

Marko S. Andjelkovic, Rizwan Tariq Syed, Alessandro Veronesi, Fabian Vargas, Markus Ulbricht, Leticia Bolzani Poehls, Milos Krstic, Davide Bertozzi, Edward G. Jones, Oliver Rhodes, Riccardo Zese, Michele Favalli, Alice Bizzarri, Evelina Lamma, Marco Gavanelli, Elena Bellodi, Zoran Peric, Jelena Nikolic, Milan R. Dincic, Aleksandra Jovanovic, Dejan Ciric, Nikola Vucic, Sofija Peric, Jelena Jovanovic, Milica Stojanovic, Tatjana R. Nikolic, Goran Nikolic, Jelena Nedeljkovic, Danijel Dankovic, Emilija Zivanovic, Milos Marjanovic, Sandra Veljkovic, Nikola Mitrovic, Bratislav Predic, Tamara Milovanovic

Proceedings of the 28th Euromicro Conference on Digital System Design, 2025

2024

Exploiting CNN's visual explanations to drive anomaly detection.

Michele Fraccaroli, Alice Bizzarri, Paolo Casellati, Evelina Lamma

Appl. Intell., January, 2024

Integration between constrained optimization and deep networks: a survey.

Alice Bizzarri, Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi

Frontiers Artif. Intell., 2024

A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI.

Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian

CoRR, 2024

Benchmarking in Neuro-Symbolic AI.

Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi

Proceedings of the Learning and Reasoning, 2024

A Neuro-Symbolic Artificial Intelligence Network Intrusion Detection System.

Alice Bizzarri, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Neuro-Symbolic Integration for Open Set Recognition in Network Intrusion Detection.

Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian

Proceedings of the AIxIA 2024 - Advances in Artificial Intelligence, 2024

2023

Efficient Resource-Aware Neural Architecture Search with a Neuro-Symbolic Approach.

Elena Bellodi, Davide Bertozzi, Alice Bizzarri, Michele Favalli, Michele Fraccaroli, Riccardo Zese

Proceedings of the 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2023

Regularization in Probabilistic Inductive Logic Programming.

Elisabetta Gentili, Alice Bizzarri, Damiano Azzolini, Riccardo Zese, Fabrizio Riguzzi

Proceedings of the Inductive Logic Programming - 32nd International Conference, 2023

2022

Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients.

Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma

Medical Biol. Eng. Comput., 2022

2021

Machine Learning Techniques for Extracting Relevant Features from Clinical Data for COVID-19 Mortality Prediction.

Michele Fraccaroli, Giulia Mazzuchelli, Alice Bizzarri

Proceedings of the IEEE Symposium on Computers and Communications, 2021