Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs-Reference-Cited by-同舟云学术

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Counterfactual Root Cause Analysis via Anomaly Detection and Causal Graphs

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
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Author:

Rehak Josephine¹,Sommer Anouk¹,Becker Maximilian¹,Pfrommer Julius²,Beyerer Jürgen³

Affiliation:

1. Vision and Fusion Laboratory Karlsruhe Institute of Technology,Karlsruhe,Germany

2. Cognitive Industrial Systems Fraunhofer IOSB Fraunhofer Center for Machine Learning,Karlsruhe,Germany

3. Fraunhofer IOSB Fraunhofer Center for Machine Learning,Karlsruhe,Germany

Funder

Karlsruhe Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217218/10217836/10218245.pdf?arnumber=10218245

Reference24 articles.

1. Nonlinear causal discovery with additive noise models;hoyer;Advances in neural information processing systems,2008

2. Statistical analysis of nearest neighbor methods for anomaly detection;gu;Advances in neural information processing systems,2019

3. Efficient algorithms for mining outliers from large data sets

4. A Survey on the Explainability of Supervised Machine Learning

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1. Transnational communism across the Americas;International Affairs;2023-11-06

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