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A general-purpose method for applying Explainable AI for Anomaly
  Detection

A general-purpose method for applying Explainable AI for Anomaly Detection

23 July 2022
John Sipple
Abdou Youssef
ArXivPDFHTML

Papers citing "A general-purpose method for applying Explainable AI for Anomaly Detection"

8 / 8 papers shown
Title
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
Matteo Ceschin
Leonardo Arrighi
Luca Longo
Sylvio Barbon Junior
19
0
0
06 May 2025
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
Yejin Kwon
Daeun Moon
Youngje Oh
Hyunsoo Yoon
71
0
0
26 Mar 2025
Developing Guidelines for Functionally-Grounded Evaluation of
  Explainable Artificial Intelligence using Tabular Data
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data
M. Velmurugan
Chun Ouyang
Yue Xu
Renuka Sindhgatta
B. Wickramanayake
Catarina Moreira
ELM
LMTD
XAI
24
0
0
30 Sep 2024
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly
  Attribution
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
T. Idé
Naoki Abe
38
4
0
09 Aug 2023
Detection of Sensor-To-Sensor Variations using Explainable AI
Detection of Sensor-To-Sensor Variations using Explainable AI
Sarah Seifi
Sebastian A. Schober
Cecilia Carbonelli
Lorenzo Servadei
Robert Wille
20
0
0
19 Jun 2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway
  Vehicle Anomaly Detection
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty
Aamir Hasan
Shuijing Liu
Tianchen Ji
Weihang Liang
D. L. McPherson
Katherine Driggs-Campbell
29
11
0
09 Jan 2023
A Survey on Explainable Anomaly Detection
A Survey on Explainable Anomaly Detection
Zhong Li
Yuxuan Zhu
M. Leeuwen
28
73
0
13 Oct 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,683
0
28 Feb 2017
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