Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives
Causal inference is the idea of cause-and-effect; this fundamental area of sciences can be
applied to problem space associated with Newton's laws or the devastating COVID-19 …
applied to problem space associated with Newton's laws or the devastating COVID-19 …
A causal inference method for canal safety anomaly detection based on structural causal model and GBDT
H Li, X Liu, X Huai, X Chen - LHB, 2023 - Taylor & Francis
It is a common idea to take advantage of as much evidence as possible in engineering
safety monitoring data analysis. Compared to the direct use of as many measurement points …
safety monitoring data analysis. Compared to the direct use of as many measurement points …
Root cause analysis using anomaly detection and temporal informed causal graphs
In industrial processes, anomalies in the production equipment may lead to expensive
failures. To avoid and avert such failures, the identification of the right root cause is crucial …
failures. To avoid and avert such failures, the identification of the right root cause is crucial …