Matteo Terzi

University of Padua — Italy

Computer Science · Physical Sciences

10h-index542citations34works2.52yr avg
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Research Topics

Anomaly Detection Techniques and Applications(16), Adversarial Robustness in Machine Learning(10), Advanced Neural Network Applications(5), Context-Aware Activity Recognition Systems(4), Time Series Analysis and Forecasting(4)

Publications34 total

Improving robustness with image filtering
Neurocomputing·2024· 2 citedOpen Access
On the limitations of adversarial training for robust image classification with convolutional neural networks
Information Sciences·2024· 3 cited
Chest Disease Identification from X-rays using Deep Learning
River Publishers eBooks·2023· 1 cited
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest
Engineering Applications of Artificial Intelligence·2022· 96 cited
On the Properties of Adversarially-Trained CNNs
arXiv (Cornell University)·2022Open Access
IntroVAC: Introspective Variational Classifiers for learning interpretable latent subspaces
Engineering Applications of Artificial Intelligence·2022· 1 cited
Improving Robustness with Image Filtering
arXiv (Cornell University)·2021Open Access
Adversarial Training Reduces Information and Improves Transferability
Proceedings of the AAAI Conference on Artificial Intelligence·2021· 7 citedOpen Access
$\beta$-Variational Classifiers Under Attack
arXiv (Cornell University)·2020Open Access
$β$-Variational Classifiers Under Attack
Research Padua Archive (University of Padua)·2020Open Access
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
arXiv (Cornell University)·2020Open Access
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance
arXiv (Cornell University)·2020· 13 citedOpen Access
Directional adversarial training for cost sensitive deep learning classification applications
Engineering Applications of Artificial Intelligence·2020· 3 citedOpen Access
β-Variational Classifiers Under Attack
IFAC-PapersOnLine·2020· 1 citedOpen Access
Le formule introduttive degli emendamenti
Rassegna parlamentare·2020
Directional adversarial training for cost sensitive deep learning classification applications
Padua Research Archive (University of Padova)·2020· 21 cited
Learning interpretable representations for classification, anomaly detection, human gesture and action recognition
Padua@research (University of Padova)·2019Open Access
Robot kinematic structure classification from time series of visual data
2019Open Access
A Random Forest-based Approach for Hand Gesture Recognition with Wireless Wearable Motion Capture Sensors
IFAC-PapersOnLine·2019· 21 citedOpen Access
Robot kinematic structure classification from time series of visual data
Padua Research Archive (University of Padova)·2019· 1 cited
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Frequent Co-authors

Gian Antonio Susto(27), Marco Maggipinto(8), Mattia Carletti(7), Angelo Cenedese(6), Alessandro Beghi(3), Chiara Masiero(3), Lorenzo Meneghetti(2), Simone Del Favero(2), Claudio Cobelli(2), Pratik Chaudhari(2), Alberto Dalla Libera(2), Alessandro Rossi(2), Ruggero Carli(2), Nicoló Bargellesi(1), Simone Pampuri(1), Andrea Schirru(1), Alessandro Achille(1), Alberto Sinigaglia(1), Luca Minetto(1), Mehmet Hacıbeyoğlu(1)