Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2210.06959
Cited By
A Survey on Explainable Anomaly Detection
13 October 2022
Zhong Li
Yuxuan Zhu
M. Leeuwen
Re-assign community
ArXiv
PDF
HTML
Papers citing
"A Survey on Explainable Anomaly Detection"
16 / 16 papers shown
Title
Research on Anomaly Detection Methods Based on Diffusion Models
Yi Chen
DiffM
56
0
0
08 May 2025
Explaining Anomalies with Tensor Networks
Hans Hohenfeld
Marius Beuerle
Elie Mounzer
29
0
0
06 May 2025
Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction
Francesco Vitale
Marco Pegoraro
W. V. Aalst
Nicola Mazzocca
55
0
0
17 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
57
5
0
17 Feb 2025
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection
A. Srinivasan
Varun Singapuri Ravi
J. C. Andresen
Anders Holst
CML
41
0
0
03 Jan 2025
Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
P. Moriano
Steven C. Hespeler
Mingyan Li
Maria Mahbub
AAML
69
0
0
21 Nov 2024
MeLIAD: Interpretable Few-Shot Anomaly Detection with Metric Learning and Entropy-based Scoring
Eirini Cholopoulou
D. Iakovidis
AAML
26
0
0
20 Sep 2024
Interpretable Clustering: A Survey
Lianyu Hu
Mudi Jiang
Junjie Dong
Xinying Liu
Zengyou He
28
1
0
01 Sep 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Jing Liu
Yang Liu
Jieyu Lin
Jielin Li
Peng Sun
Bo Hu
Liang Song
Azzedine Boukerche
Victor C.M. Leung
Victor C.M. Leung
43
10
0
16 May 2024
Outlier detection using flexible categorisation and interrogative agendas
Marcel Boersma
Krishna Manoorkar
A. Palmigiano
Mattia Panettiere
Apostolos Tzimoulis
N. Wijnberg
24
2
0
19 Dec 2023
Explainable Contextual Anomaly Detection using Quantile Regression Forests
Zhong Li
M. Leeuwen
AI4TS
39
15
0
22 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng R. Li
Octavia Camps
Yun Fu
23
5
0
13 Feb 2023
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Daniel L. Marino
Chathurika S. Wickramasinghe
C. Rieger
Milos Manic
29
8
0
25 Feb 2022
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge
Ryota Hinami
Tao Mei
Shiníchi Satoh
106
227
0
26 Sep 2017
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
1