Matteo Terzi

Orcid: 0000-0001-7556-4829

According to our database1, Matteo Terzi authored at least 15 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the limitations of adversarial training for robust image classification with convolutional neural networks.
Inf. Sci., 2024

Improving robustness with image filtering.
Neurocomputing, 2024

2023
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest.
Eng. Appl. Artif. Intell., March, 2023

2022
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces.
Eng. Appl. Artif. Intell., 2022

On the Properties of Adversarially-Trained CNNs.
CoRR, 2022

2021
Adversarial Training Reduces Information and Improves Transferability.
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.
IEEE Trans. Control. Syst. Technol., 2020

Directional adversarial training for cost sensitive deep learning classification applications.
Eng. Appl. Artif. Intell., 2020

β-Variational Classifiers Under Attack.
CoRR, 2020

2019
Robot kinematic structure classification from time series of visual data.
Proceedings of the 17th European Control Conference, 2019

2018
Fault Detection in Artificial Pancreas: A Model-Free approach.
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.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data.
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.
PsychNology J., 2016

A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing.
Proceedings of the 15th European Control Conference, 2016


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