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Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
30 June 2021
Damien Fourure
Muhammad Usama Javaid
N. Posocco
Simon Tihon
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Papers citing
"Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol"
10 / 10 papers shown
Title
Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint
H. Kumar
Beomseok Kang
Biswadeep Chakraborty
Saibal Mukhopadhyay
51
0
0
28 Jan 2025
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network
Sareh Nejad
Anwar Haque
21
1
0
13 Nov 2024
FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data
Ahmed Anwar
Brian B. Moser
Dayananda Herurkar
Federico Raue
Vinit Hegiste
T. Legler
Andreas Dengel
FedML
37
0
0
08 Aug 2024
Can Tree Based Approaches Surpass Deep Learning in Anomaly Detection? A Benchmarking Study
Santonu Sarkar
Shanay Mehta
Nicole Fernandes
Jyotirmoy Sarkar
Snehanshu Saha
41
2
0
11 Feb 2024
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical Encodings
Ajay Chawda
S. Grimm
Marius Kloft
35
4
0
25 Oct 2022
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
Lorenzo Perini
Paul-Christian Buerkner
Arto Klami
23
14
0
19 Oct 2022
Automatic Tuberculosis and COVID-19 cough classification using deep learning
Madhurananda Pahar
Marisa Klopper
B. Reeve
Robin Warren
G. Theron
A. Diacon
T. Niesler
36
16
0
11 May 2022
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
Maxime Alvarez
Jean-Charles Verdier
D'Jeff K. Nkashama
Marc Frappier
Pierre Martin Tardif
F. Kabanza
23
17
0
21 Apr 2022
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data
Soroor Shekarizadeh
R. Rastgoo
Saif M. Al-Kuwari
Mohammad Sabokrou
27
2
0
31 Jan 2022
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Seffi Cohen
Niv Goldshlager
L. Rokach
Bracha Shapira
18
9
0
29 Oct 2021
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