Matteo Terzi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Anomaly Detection

Image Filtering

Top Venues

Eng. Appl. Artif. Intell.

IEEE Trans. Control. Syst. Technol.

Publications

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 (2024)
Matteo Terzi, Mattia Carletti, Gian Antonio Susto
Improving robustness with image filtering. Neurocomputing 596 (2024)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. 119 (2023)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. 109 (2022)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
On the Properties of Adversarially-Trained CNNs. CoRR (2022)
Matteo Terzi, Mattia Carletti, Gian Antonio Susto
Improving Robustness with Image Filtering. CoRR (2021)
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Adversarial Training Reduces Information and Improves Transferability. AAAI (2021)
Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. 91 (2020)
Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
Adversarial Training Reduces Information and Improves Transferability. CoRR (2020)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR (2020)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
β-Variational Classifiers Under Attack. CoRR (2020)
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) (2020)
Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR (2020)
Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
Robot kinematic structure classification from time series of visual data. ECC (2019)
Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. CoRR (2019)
Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
Robot kinematic structure classification from time series of visual data. CoRR (2019)
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)
Lorenzo Meneghetti, Matteo Terzi, Gian Antonio Susto, Simone Del Favero, Claudio Cobelli
Fault Detection in Artificial Pancreas: A Model-Free approach. CDC (2018)
Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI (2017)
Angelo Cenedese, Gian Antonio Susto, Matteo Terzi
A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. ECC (2016)
Angelo Cenedese, Luca Minetto, Gian Antonio Susto, Matteo Terzi
Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology J. 14 (2-3) (2016)