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Mattia Carletti
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 11
Top Topics
Anomaly Detection
Root Cause
Feature Importance
Semiconductor Manufacturing
Top Venues
CoRR
WSC
SMC
Eng. Appl. Artif. Intell.
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Publications
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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)