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Matteo Rizzo
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2020 – today
- 2024
- [c7]Alessandro Zangari, Matteo Marcuzzo, Matteo Rizzo, Andrea Albarelli, Andrea Gasparetto:
Crossing the Divide: Designing Layers of Explainability. ICAISC (1) 2024: 253-265 - [c6]Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, Michele Schiavinato, Andrea Albarelli, Andrea Gasparetto:
Stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead. ICPRAI (1) 2024: 279-293 - [c5]Andrea Albarelli, Claudio Lucchese, Matteo Rizzo, Alberto Veneri:
On the Application of a Common Theoretical Explainability Framework in Information Retrieval. IIR 2024: 43-52 - [c4]Matteo Rizzo, Dalila Ressi, Andrea Gasparetto, Sabina Rossi:
A Comparison of Machine Learning Techniques for Ethereum Smart Contract Vulnerability Detection. OVERLAY 2024: 119-126 - [c3]Matteo Rizzo
, Cristina Conati
Evaluating the Faithfulness of Causality in Saliency-Based Explanations of Deep Learning Models for Temporal Colour Constancy. xAI (3) 2024: 125-142 - 2023
- [j1]Matteo Rizzo
Cascading convolutional temporal color constancy. J. Electronic Imaging 32(1) (2023) - [c2]Matteo Rizzo
A Theoretical Framework for AI Models Explainability with Application in Biomedicine. CIBCB 2023: 1-9 - 2022
- [i4]Matteo Rizzo
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy. CoRR abs/2211.07982 (2022) - [i3]Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari
Fruit Ripeness Classification: a Survey. CoRR abs/2212.14441 (2022) - [i2]Matteo Rizzo, Alberto Veneri
A Theoretical Framework for AI Models Explainability. CoRR abs/2212.14447 (2022) - 2021
- [i1]Matteo Rizzo, Cristina Conati, Daesik Jang, Hui Hu:
Cascading Convolutional Temporal Colour Constancy. CoRR abs/2106.07955 (2021)
2010 – 2019
- 2019
- [c1]Arseniy Zaostrovnykh, Solal Pirelli, Rishabh R. Iyer, Matteo Rizzo, Luis Pedrosa
Verifying software network functions with no verification expertise. SOSP 2019: 275-290
Coauthor Index
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