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Evaluating Anomaly Explanations Using Ground Truth
Liat Antwarg Friedman
, Chen Galed
,
Lior Rokach
,
Bracha Shapira
Statistics and Data Analysis Program
Faculty of Engineering Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
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Dive into the research topics of 'Evaluating Anomaly Explanations Using Ground Truth'. Together they form a unique fingerprint.
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Computer Science
Anomaly Detection
100%
Evaluation Methodology
50%
Correctness
50%
Digital Circuit
25%
Truth Table
25%
Explainable Artificial Intelligence
25%
Rigorous Evidence
25%
Machine Learning
25%
Learning System
25%
Artificial Intelligence
25%
Deep Learning Method
25%
Keyphrases
Truth-based
33%
AI-driven Anomaly Detection
16%
Model-agnostic Explanation Method
16%