Matteo Terzi - RankMe

21 papers A* 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Improving robustness with image filtering. Neurocomputing Matteo Terzi, Mattia Carletti, Gian Antonio Susto
2024	J	`jnl`	On the limitations of adversarial training for robust image classification with convolutional neural networks. Inf. Sci. Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto
2023	J	`jnl`	Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2022	J	`jnl`	IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces. Eng. Appl. Artif. Intell. Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
2022	J	`jnl`	On the Properties of Adversarially-Trained CNNs. CoRR Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2021	A*	`conf`	Adversarial Training Reduces Information and Improves Transferability. AAAI Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
2021	J	`jnl`	Improving Robustness with Image Filtering. CoRR Matteo Terzi, Mattia Carletti, Gian Antonio Susto
2020	J	`jnl`	Adversarial Training Reduces Information and Improves Transferability. CoRR Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto
2020	J	`jnl`	Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Trans. Control. Syst. Technol. Lorenzo Meneghetti, Matteo Terzi, Simone Del Favero, Gian Antonio Susto, Claudio Cobelli
2020	J	`jnl`	Directional adversarial training for cost sensitive deep learning classification applications. Eng. Appl. Artif. Intell. Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
2020	J	`jnl`	Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2020	J	`jnl`	IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. CoRR Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
2020	J	`jnl`	β-Variational Classifiers Under Attack. CoRR Marco Maggipinto, Matteo Terzi, Gian Antonio Susto
2019	J	`jnl`	Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. CoRR Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari
2019	—	`conf`	Robot kinematic structure classification from time series of visual data. ECC Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
2019	J	`jnl`	Robot kinematic structure classification from time series of visual data. CoRR Alberto Dalla Libera, Matteo Terzi, Alessandro Rossi, Gian Antonio Susto, Ruggero Carli
2018	—	`conf`	A Fraud Detection Decision Support System via Human On-Line Behavior Characterization and Machine Learning. AI4I Gian Antonio Susto, Matteo Terzi, Chiara Masiero, Simone Pampuri, Andrea Schirru
2018	—	`conf`	Fault Detection in Artificial Pancreas: A Model-Free approach. CDC Lorenzo Meneghetti, Matteo Terzi, Gian Antonio Susto, Simone Del Favero, Claudio Cobelli
2017	—	`conf`	Deep learning for virtual metrology: Modeling with optical emission spectroscopy data. RTSI Matteo Terzi, Chiara Masiero, Alessandro Beghi, Marco Maggipinto, Gian Antonio Susto
2016	—	`conf`	A parsimonious approach for activity recognition with wearable devices: An application to cross-country skiing. ECC Angelo Cenedese, Gian Antonio Susto, Matteo Terzi
2016	J	`jnl`	Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology J. Angelo Cenedese, Luca Minetto, Gian Antonio Susto, Matteo Terzi