Mattia Carletti

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Anomaly Detection

Detect Anomalies

Image Filtering

Top Venues

Eng. Appl. Artif. Intell.

Publications

Mattia Carletti, Alberto Sinigaglia, Matteo Terzi, Gian Antonio Susto
On the limitations of adversarial training for robust image classification with convolutional neural networks. Inf. Sci. 675 (2024)
Matteo Terzi, Mattia Carletti, Gian Antonio Susto
Improving robustness with image filtering. Neurocomputing 596 (2024)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Interpretable Anomaly Detection with DIFFI: Depth-based feature importance of Isolation Forest. Eng. Appl. Artif. Intell. 119 (2023)
David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto
AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. 214 (2023)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
On the Properties of Adversarially-Trained CNNs. CoRR (2022)
Matteo Terzi, Mattia Carletti, Gian Antonio Susto
Improving Robustness with Image Filtering. CoRR (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES (2021)
David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto
AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR (2021)
Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR (2021)
Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek
Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC (2020)
Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto
Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. WSC (2020)
Mattia Carletti, Matteo Terzi, Gian Antonio Susto
Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR (2020)
Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto
Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC (2019)