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Matteo Terzi
Matteo Terzi
Bestätigte E-Mail-Adresse bei phd.unipd.it
Titel
Zitiert von
Zitiert von
Jahr
Time Series Classification Methods: Review and Applications to Power Systems Data
GA Susto, A Cenedese, M Terzi
Big Data Application in Power Systems, 2017
872017
Anomaly detection approaches for semiconductor manufacturing
GA Susto, M Terzi, A Beghi
Procedia Manufacturing 11, 2018-2024, 2017
612017
Data-driven anomaly recognition for unsupervised model-free fault detection in artificial pancreas
L Meneghetti, M Terzi, S Del Favero, GA Susto, C Cobelli
IEEE Transactions on Control Systems Technology, 2018
482018
A computer vision-inspired deep learning architecture for virtual metrology modeling with 2-dimensional data
M Maggipinto, M Terzi, C Masiero, A Beghi, GA Susto
IEEE Transactions on Semiconductor Manufacturing 31 (3), 376-384, 2018
422018
Interpretable anomaly detection with diffi: Depth-based isolation forest feature importance
M Carletti, M Terzi, GA Susto
arXiv preprint arXiv:2007.11117, 2020
28*2020
Adversarial training reduces information and improves transferability
M Terzi, A Achille, M Maggipinto, GA Susto
AAAI 2021, 2020
142020
Directional adversarial training for cost sensitive deep learning classification applications
M Terzi, GA Susto, P Chaudhari
Engineering Applications of Artificial Intelligence 91, 103550, 2020
132020
Deep learning for virtual metrology: Modeling with optical emission spectroscopy data
M Terzi, C Masiero, A Beghi, M Maggipinto, GA Susto
2017 IEEE 3rd International Forum on Research and Technologies for Society …, 2017
132017
A random forest-based approach for hand gesture recognition with wireless wearable motion capture sensors
N Bargellesi, M Carletti, A Cenedese, GA Susto, M Terzi
IFAC-PapersOnLine 52 (11), 128-133, 2019
82019
A multivariate symbolic approach to activity recognition for wearable applications
M Terzi, A Cenedese, GA Susto
IFAC-PapersOnLine 50 (1), 15865-15870, 2017
82017
A fraud detection decision support system via human on-line behavior characterization and machine learning
GA Susto, M Terzi, C Masiero, S Pampuri, A Schirru
2018 First International Conference on Artificial Intelligence for …, 2018
72018
Fault detection in artificial pancreas: A model-free approach
L Meneghetti, M Terzi, GA Susto, S Del Favero, C Cobelli
2018 IEEE Conference on Decision and Control (CDC), 303-308, 2018
52018
A parsimonious approach for activity recognition with wearable devices: an application to cross-country skiing
A Cenedese, GA Susto, M Terzi
2016 European Control Conference (ECC), 2541-2546, 2016
52016
Robot kinematic structure classification from time series of visual data
A Dalla Libera, M Terzi, A Rossi, GA Susto, R Carli
2019 18th European Control Conference (ECC), 1586-1591, 2019
22019
Human Activity Recognition with Wearable Devices: A Symbolic Approach.
A Cenedese, L Minetto, GA Susto, M Terzi
PsychNology Journal 14 (2), 2016
22016
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces
M Maggipinto, M Terzi, GA Susto
Engineering Applications of Artificial Intelligence 109, 104658, 2022
12022
β-Variational Classifiers Under Attack
M Maggipinto, M Terzi, GA Susto
IFAC-PapersOnLine 53 (2), 7903-7908, 2020
12020
On the Properties of Adversarially-Trained CNNs
M Carletti, M Terzi, GA Susto
arXiv preprint arXiv:2203.09243, 2022
2022
Improving Robustness with Image Filtering
M Terzi, M Carletti, GA Susto
arXiv preprint arXiv:2112.11235, 2021
2021
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
M Maggipinto, M Terzi, GA Susto
arXiv preprint arXiv:2008.00760, 2020
2020
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