Matteo Rizzo

15 papers A* 1C 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reentrancy Detection in the Age of LLMs.
CoRR
Dalila Ressi, Alvise Spanò, Matteo Rizzo, Lorenzo Benetollo, Sabina Rossi
2025 — conf
Advanced Large Language Models Prompting Strategies for Reentrancy Classification and Explanation in Smart Contracts.
BlockTEA
Matteo Rizzo, Alvise Spanò, Lorenzo Benetollo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi
2025 — conf
Assessing the Value of Explainable Artificial Intelligence for Magnetic Resonance Imaging.
xAI (1)
Giada Frasson, Matteo Rizzo, Marco Salvatore Nobile, Amalia Lupi, Emilio Quaia
2024 — conf
A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection.
OVERLAY
Matteo Rizzo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi
2024 — conf
Crossing the Divide: Designing Layers of Explainability.
ICAISC (1)
Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, Andrea Albarelli, Andrea Gasparetto
2024 — conf
Evaluating the Faithfulness of Causality in Saliency-Based Explanations of Deep Learning Models for Temporal Colour Constancy.
xAI (3)
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
2024 — conf
On the Application of a Common Theoretical Explainability Framework in Information Retrieval.
IIR
Andrea Albarelli, Claudio Lucchese, Matteo Rizzo, Alberto Veneri
2024 — conf
Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead.
ICPRAI (1)
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Andrea Albarelli, Andrea Gasparetto
2023 C conf
A Theoretical Framework for AI Models Explainability with Application in Biomedicine.
CIBCB
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco S. Nobile, Cristina Conati
2023 J jnl
Cascading convolutional temporal color constancy.
J. Electronic Imaging
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
2022 J jnl
A Theoretical Framework for AI Models Explainability.
CoRR
Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Cristina Conati
2022 J jnl
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy.
CoRR
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
2022 J jnl
Fruit Ripeness Classification: a Survey.
CoRR
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Andrea Gasparetto, Andrea Albarelli
2021 J jnl
Cascading Convolutional Temporal Colour Constancy.
CoRR
Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu
2019 A* conf
Verifying software network functions with no verification expertise.
SOSP
Arseniy Zaostrovnykh, Solal Pirelli, Rishabh R. Iyer, Matteo Rizzo, Luis Pedrosa, Katerina J. Argyraki, George Candea