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Publications     [ all BibTeX ]
M. Terzi, M. Carletti, G.A. Susto. Improving Robustness with Image Filtering. 20YY    [url] [BibTeX]  
M. Carletti, M. Terzi, G.A. Susto. Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. (arXiv:2007.11117), 20YY    [ abstract ] [url] [BibTeX]  
M. Maggipinto, M. Terzi, G.A. Susto. IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces. Engineering Applications of Artificial Intelligence, vol. 1092022    [ abstract ] [url] [BibTeX]  
M. Terzi, A. Achille, M. Maggipinto, G.A. Susto. Adversarial Training Reduces Information and Improves Transferability. 35th AAAI Conference on Artificial Intelligence, (arXiv:2007.11259), 2021    [ abstract ] [url] [BibTeX]  
M. Maggipinto, M. Terzi, G.A. Susto. Beta-Variational Classifiers Under Attack. IFAC World Congress, 2020   [BibTeX]  
L. Meneghetti, M. Terzi, S. Del Favero, G.A. Susto, C. Cobelli. Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas. IEEE Transactions on Control Systems Technology, vol. 28(1), pp. 33-47, 2020    [ abstract ] [url] [BibTeX]  
M. Terzi, G.A. Susto, P. Chaudhari. Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications. Engineering Applications of Artificial Intelligence, vol. 912020    [ abstract ] [url] [BibTeX]  
N. Bargellesi, M. Carletti, A. Cenedese, G.A. Susto, M. Terzi. A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors. 5th IFAC International Conference on Intelligent Control and Automation Sciences, 2019    [ abstract ] [url] [BibTeX]  
A. Dalla Libera, M. Terzi, A. Rossi, G.A. Susto, R. Carli. Robot kinematic structure classification from time series of visual data. 2019 European Control Conference, 2019    [ abstract ] [BibTeX]  
M. Maggipinto, M. Terzi, C. Masiero, A. Beghi, G.A. Susto. A Computer Vision-inspired Deep Learning Architecture for Virtual Metrology modeling with 2-Dimensional Data. IEEE Transactions on Semiconductor Manufacturing, vol. 31(3), pp. 376 - 384, 2018    [ abstract ] [url] [BibTeX]  
G.A. Susto, M. Terzi, C. Masiero, S. Pampuri, A. Schirru. A Fraud Detection Decision Support System via Human On-line Behavior Characterization and Machine Learning. 1st International Conference on Artificial Intelligence for Industries (AI4I), pp. 9-14, 2018    [ abstract ] [url] [BibTeX]  
L. Meneghetti, M. Terzi, G.A. Susto, S. Del Favero, C. Cobelli. Fault Detection in Artificial Pancreas: A Model-Free approach. Conference on Decision and Control (CDC), pp. 303-308, 2018    [ abstract ] [url] [BibTeX]  
M. Terzi, A. Cenedese, G.A. Susto. A multivariate symbolic approach to activity recognition for wearable applications. IFAC World Congress 2017, pp. 16435-16440, 2017    [ abstract ] [pdf] [BibTeX]  
G.A. Susto, M. Terzi, A. Beghi. Anomaly Detection Approaches for Semiconductor Manufacturing. Procedia Manufacturing, 27th International Conference on Flexible Automation and Intelligent Manufacturing, vol. 11pp. 2018-2024, 2017    [ abstract ] [url] [BibTeX]  
G.A. Susto, A. Cenedese, M. Terzi. Big Data Application in Power Systems - Ch. 2.5. Time Series Classi cation Methods: Review and Applications to Power Systems Data. 2017    [ abstract ] [url] [BibTeX]  
A. Cenedese, G.A. Susto, M. Terzi. A Parsimonious Approach for Activity Recognition with Wearable Devices: an Application to Cross-country Skiing. European Control Conference 2016 (ECC'16), pp. 2541-2546, 2016    [ abstract ] [url] [BibTeX]  
A. Cenedese, L. Minetto, G.A. Susto, M. Terzi. A Symbolic Approach to Human Activity Recognition. 5th International Workshop on Symbiotic Interaction, 2016    [ abstract ] [BibTeX]  
A. Cenedese, L. Minetto, G.A. Susto, M. Terzi. Human Activity Recognition with Wearable Devices: A Symbolic Approach. PsychNology, vol. 14(2-3), pp. 99-115, 2016    [ abstract ] [url] [BibTeX]