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Anomaly Mining -- Past, Present and Future

Anomaly Mining -- Past, Present and Future

21 May 2021
Leman Akoglu
    OOD
    AI4TS
ArXivPDFHTML

Papers citing "Anomaly Mining -- Past, Present and Future"

7 / 7 papers shown
Title
Robust Root Cause Diagnosis using In-Distribution Interventions
Robust Root Cause Diagnosis using In-Distribution Interventions
Lokesh Nagalapatti
Ashutosh Srivastava
Sunita Sarawagi
Amit Sharma
37
0
0
02 May 2025
Root Cause Analysis of Outliers with Missing Structural Knowledge
Root Cause Analysis of Outliers with Missing Structural Knowledge
Nastaran Okati
Sergio Hernan Garrido Mejia
William Orchard
Patrick Blöbaum
Dominik Janzing
28
2
0
07 Jun 2024
MLAD: A Unified Model for Multi-system Log Anomaly Detection
MLAD: A Unified Model for Multi-system Log Anomaly Detection
Runqiang Zang
Hongcheng Guo
Jian Yang
Jiaheng Liu
Zhoujun Li
Tieqiao Zheng
Xu Shi
Liangfan Zheng
Bo-Wen Zhang
43
1
0
15 Jan 2024
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A
  Unified Neural Network Approach
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
Konstantinos Sotiropoulos
Lingxiao Zhao
Pierre Jinghong Liang
Leman Akoglu
26
4
0
13 Nov 2023
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative
  Distribution Functions
ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions
Zheng Li
Yue Zhao
Xiyang Hu
N. Botta
C. Ionescu
George H. Chen
32
282
0
02 Jan 2022
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Xiaoxiao Ma
Jia Wu
Shan Xue
Jian Yang
Chuan Zhou
Quan Z. Sheng
Hui Xiong
Leman Akoglu
GNN
AI4TS
43
538
0
14 Jun 2021
Towards Fair Deep Anomaly Detection
Towards Fair Deep Anomaly Detection
Hongjing Zhang
Ian Davidson
FaML
55
39
0
29 Dec 2020
1