A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. - Angelo Cenedese; Gian Antonio Susto; Matteo Terzi (ECC, 2016)

Human Activity Recognition with Wearable Devices: A Symbolic Approach. - Angelo Cenedese; Luca Minetto; Gian Antonio Susto; Matteo Terzi (PsychNology J., 2016)

Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. - Matteo Terzi; Chiara Masiero; Alessandro Beghi; Marco Maggipinto; Gian Antonio Susto (RTSI, 2017)

A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. - Gian Antonio Susto; Matteo Terzi; Chiara Masiero; Simone Pampuri; Andrea Schirru (AI4I, 2018)

Fault Detection in Artificial Pancreas: A Model-Free approach. - Lorenzo Meneghetti; Matteo Terzi; Gian Antonio Susto; Simone Del Favero; Claudio Cobelli (CDC, 2018)

Robot kinematic structure classification from time series of visual data. - Alberto Dalla Libera; Matteo Terzi; Alessandro Rossi 004; Gian Antonio Susto; Ruggero Carli (ECC, 2019)

β-Variational Classifiers Under Attack. - Marco Maggipinto; Matteo Terzi; Gian Antonio Susto (CoRR, 2020)

Directional adversarial training for cost sensitive deep learning classification applications. - Matteo Terzi; Gian Antonio Susto; Pratik Chaudhari (Eng. Appl. Artif. Intell., 2020)

Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. - Lorenzo Meneghetti; Matteo Terzi; Simone Del Favero; Gian Antonio Susto; Claudio Cobelli (IEEE Trans. Control. Syst. Technol., 2020)

Adversarial Training Reduces Information and Improves Transferability. - Matteo Terzi; Alessandro Achille; Marco Maggipinto; Gian Antonio Susto (AAAI, 2021)

On the Properties of Adversarially-Trained CNNs. - Mattia Carletti; Matteo Terzi; Gian Antonio Susto (CoRR, 2022)

IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. - Marco Maggipinto; Matteo Terzi; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2022)

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. - Mattia Carletti; Matteo Terzi; Gian Antonio Susto (Eng. Appl. Artif. Intell., 2023)

Improving robustness with image filtering. - Matteo Terzi; Mattia Carletti; Gian Antonio Susto (Neurocomputing, 2024)

On the limitations of adversarial training for robust image classification with convolutional neural networks. - Mattia Carletti; Alberto Sinigaglia; Matteo Terzi; Gian Antonio Susto (Inf. Sci., 2024)