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Rule Extraction in Unsupervised Anomaly Detection for Model
  Explainability: Application to OneClass SVM

Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM

21 November 2019
A. Barbado
Óscar Corcho
Richard Benjamins
ArXivPDFHTML

Papers citing "Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM"

4 / 4 papers shown
Title
Machine Learning-Aided Operations and Communications of Unmanned Aerial
  Vehicles: A Contemporary Survey
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey
Harrison Kurunathan
Hailong Huang
Kai Li
Wei Ni
Ekram Hossain
28
70
0
07 Nov 2022
Explanation Method for Anomaly Detection on Mixed Numerical and
  Categorical Spaces
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces
Iñigo López-Riobóo Botana
Carlos Eiras-Franco
Julio César Hernández Castro
Amparo Alonso-Betanzos
29
0
0
09 Sep 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable
  Anomaly Detection
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection
Thabang Mathonsi
Terence L van Zyl
35
0
0
25 Feb 2022
DeepAID: Interpreting and Improving Deep Learning-based Anomaly
  Detection in Security Applications
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications
Dongqi Han
Zhiliang Wang
Wenqi Chen
Ying Zhong
Su Wang
Han Zhang
Jiahai Yang
Xingang Shi
Xia Yin
AAML
24
76
0
23 Sep 2021
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