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A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection
  Algorithms

A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms

21 April 2022
Maxime Alvarez
Jean-Charles Verdier
D'Jeff K. Nkashama
Marc Frappier
Pierre Martin Tardif
F. Kabanza
ArXivPDFHTML

Papers citing "A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms"

5 / 5 papers shown
Title
Generalizability of experimental studies
Generalizability of experimental studies
Federico Matteucci
Vadim Arzamasov
Jose Cribeiro-Ramallo
Marco Heyden
Konstantin Ntounas
Klemens Bohm
44
0
0
25 Jun 2024
A Closer Look at AUROC and AUPRC under Class Imbalance
A Closer Look at AUROC and AUPRC under Class Imbalance
Matthew B. A. McDermott
Lasse Hyldig Hansen
Haoran Zhang
Giovanni Angelotti
Jack Gallifant
36
31
0
11 Jan 2024
Deep Anomaly Detection under Labeling Budget Constraints
Deep Anomaly Detection under Labeling Budget Constraints
Aodong Li
Chen Qiu
Marius Kloft
Padhraic Smyth
Stephan Mandt
Maja R. Rudolph
35
13
0
15 Feb 2023
Unsupervised Anomaly Detection for Auditing Data and Impact of
  Categorical Encodings
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Ajay Chawda
S. Grimm
Marius Kloft
38
4
0
25 Oct 2022
Robustness Evaluation of Deep Unsupervised Learning Algorithms for
  Intrusion Detection Systems
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
D'Jeff K. Nkashama
Ariana Soltani
Jean-Charles Verdier
Marc Frappier
Pierre-Marting Tardif
F. Kabanza
OOD
AAML
21
5
0
25 Jun 2022
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