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A Flexible Framework for Anomaly Detection via Dimensionality Reduction

A Flexible Framework for Anomaly Detection via Dimensionality Reduction

A. V. Sadr
Bruce A. Bassett
M. Kunz
ArXiv (abs)PDFHTML

Papers citing "A Flexible Framework for Anomaly Detection via Dimensionality Reduction"

3 / 3 papers shown
Title
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
Marcella Astrid
Muhammad Zaigham Zaheer
Djamila Aouada
Seung-Ik Lee
AAML
89
2
0
09 May 2024
Efficient Generation of Hidden Outliers for Improved Outlier Detection
Efficient Generation of Hidden Outliers for Improved Outlier Detection
Jose Cribeiro-Ramallo
Vadim Arzamasov
Klemens Bohm
48
1
0
06 Feb 2024
Investigation Into the Viability of Neural Networks as a Means for Anomaly Detection in Experiments Like Atlas at the LHC
Investigation Into the Viability of Neural Networks as a Means for Anomaly Detection in Experiments Like Atlas at the LHC
Sully Billingsley
44
0
0
29 May 2020