Matteo Terzi

According to our database, Matteo Terzi authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest.

Mattia Carletti, Matteo Terzi, Gian Antonio Susto

Eng. Appl. Artif. Intell., March, 2023

2022

IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces.

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto

Eng. Appl. Artif. Intell., 2022

On the Properties of Adversarially-Trained CNNs.

Mattia Carletti, Matteo Terzi, Gian Antonio Susto

CoRR, 2022

2021

Improving Robustness with Image Filtering.

Matteo Terzi, Mattia Carletti, Gian Antonio Susto

CoRR, 2021

Adversarial Training Reduces Information and Improves Transferability.

Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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

Directional adversarial training for cost sensitive deep learning classification applications.

Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari

Eng. Appl. Artif. Intell., 2020

β-Variational Classifiers Under Attack.

Marco Maggipinto, Matteo Terzi, Gian Antonio Susto

CoRR, 2020

2019

Robot kinematic structure classification from time series of visual data.

Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli

Proceedings of the 17th European Control Conference, 2019

2018

Fault Detection in Artificial Pancreas: A Model-Free approach.

Lorenzo Meneghetti, Matteo Terzi, Gian Antonio Susto, Simone Del Favero, Claudio Cobelli

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

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

Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017

Deep learning for virtual metrology: Modeling with optical emission spectroscopy data.

Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto

Proceedings of the 3rd IEEE International Forum on Research and Technologies for Society and Industry, 2017

2016

Human Activity Recognition with Wearable Devices: A Symbolic Approach.

Angelo Cenedese, Luca Minetto, Gian Antonio Susto, Matteo Terzi

PsychNology J., 2016

A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing.

Angelo Cenedese, Gian Antonio Susto, Matteo Terzi

Proceedings of the 15th European Control Conference, 2016