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2020 – today
- 2024
[j7]Matteo Terzi, Mattia Carletti
, Gian Antonio Susto:
Improving robustness with image filtering. Neurocomputing 596: 127927 (2024)- [j6]Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto:
On the limitations of adversarial training for robust image classification with convolutional neural networks. Inf. Sci. 675: 120703 (2024) - 2023
- [j5]Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. 119: 105730 (2023) - 2022
- [j4]Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. 109: 104658 (2022) - [i8]Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
On the Properties of Adversarially-Trained CNNs. CoRR abs/2203.09243 (2022) - 2021
- [c6]Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. AAAI 2021: 2674-2682 - [i7]Matteo Terzi, Mattia Carletti, Gian Antonio Susto:
Improving Robustness with Image Filtering. CoRR abs/2112.11235 (2021) - 2020
- [j3]Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari:
Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. 91: 103550 (2020) - [j2]Lorenzo Meneghetti, Matteo Terzi, Simone Del Favero, Gian Antonio Susto, Claudio Cobelli:
Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Trans. Control. Syst. Technol. 28(1): 33-47 (2020) - [i6]Mattia Carletti, Matteo Terzi, Gian Antonio Susto:
Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR abs/2007.11117 (2020) - [i5]Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. CoRR abs/2007.11259 (2020) - [i4]Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR abs/2008.00760 (2020) - [i3]Marco Maggipinto, Matteo Terzi, Gian Antonio Susto:
β-Variational Classifiers Under Attack. CoRR abs/2008.09010 (2020)
2010 – 2019
- 2019
- [c5]Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. ECC 2019: 1586-1591 - [i2]Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli:
Robot kinematic structure classification from time series of visual data. CoRR abs/1903.04410 (2019) - [i1]Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari:
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. CoRR abs/1910.03468 (2019) - 2018
- [c4]Gian Antonio Susto, Matteo Terzi, Chiara Masiero, Simone Pampuri, Andrea Schirru:
A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. AI4I 2018: 9-14 - [c3]Lorenzo Meneghetti, Matteo Terzi, Gian Antonio Susto, Simone Del Favero, Claudio Cobelli:
Fault Detection in Artificial Pancreas: A Model-Free approach. CDC 2018: 303-308 - 2017
- [c2]Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto:
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI 2017: 1-6 - 2016
- [j1]Angelo Cenedese, Luca Minetto, Gian Antonio Susto, Matteo Terzi:
Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology J. 14(2-3): 33-65 (2016) - [c1]Angelo Cenedese, Gian Antonio Susto, Matteo Terzi:
A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. ECC 2016: 2541-2546
Coauthor Index
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