2 citations · 4 across the 8 of their papers we have counts for
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cs.LG2023★ 2 cited
Algorithmic Recourse in Abnormal Multivariate Time Series
Xiao Han, Lu Zhang, Yongkai Wu +1
Algorithmic recourse provides actionable recommendations to alter unfavorable predictions of machine learning models, enhancing transparency through counterfactual explanations. Wh…
cs.LG2023★ 2 cited
LogGPT: Log Anomaly Detection via GPT
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
Detecting system anomalies based on log data is important for ensuring the security and reliability of computer systems. Recently, deep learning models have been widely used for lo…
cs.LG2023
Achieving Counterfactual Fairness for Anomaly Detection
Xiao Han, Lu Zhang, Yongkai Wu +1
Ensuring fairness in anomaly detection models has received much attention recently as many anomaly detection applications involve human beings. However, existing fair anomaly detec…