Mattia Carletti

15 papers B 1C 1Misc 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG. CoRR Fredrik K. Gustafsson, Xiao Gu, Mattia Carletti, Patitapaban Palo, David W. Eyre, David A. Clifton
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`	AcME - Accelerated model-agnostic explanations: Fast whitening of the machine-learning black box. Expert Syst. Appl. David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, 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
2023	—	`—`	Trustworthy Machine Learning for Anomaly Detection and Computer Vision Applications. Mattia Carletti
2022	J	`jnl`	On the Properties of Adversarially-Trained CNNs. CoRR Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2021	J	`jnl`	AcME - Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box. CoRR David Dandolo, Chiara Masiero, Mattia Carletti, Davide Dalle Pezze, Gian Antonio Susto
2021	C	`conf`	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. AIES Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
2021	J	`jnl`	Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and Pricing. CoRR Alessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello
2021	J	`jnl`	Improving Robustness with Image Filtering. CoRR Matteo Terzi, Mattia Carletti, Gian Antonio Susto
2020	Misc	`conf`	Enhancing Scalability of Virtual Metrology: A Deep Learning-Based Approach for Domain Adaptation. WSC Natalie Gentner, Andreas Kyek, Yao Yang, Mattia Carletti, Gian Antonio Susto
2020	Misc	`conf`	Interpretable Anomaly Detection for Knowledge Discovery in Semiconductor Manufacturing. WSC Mattia Carletti, Marco Maggipinto, Alessandro Beghi, Gian Antonio Susto, Natalie Gentner, Yao Yang, Andreas Kyek
2020	J	`jnl`	Interpretable Anomaly Detection with DIFFI: Depth-based Feature Importance for the Isolation Forest. CoRR Mattia Carletti, Matteo Terzi, Gian Antonio Susto
2019	B	`conf`	Explainable Machine Learning in Industry 4.0: Evaluating Feature Importance in Anomaly Detection to Enable Root Cause Analysis. SMC Mattia Carletti, Chiara Masiero, Alessandro Beghi, Gian Antonio Susto