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Task-oriented Self-supervised Learning for Anomaly Detection in
  Electroencephalography

Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography

4 July 2022
Yaojia Zheng
Zhouwu Liu
Rong Mo
Ziyi Chen
Weiqiao Zheng
Ruixuan Wang
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography"

10 / 10 papers shown
Title
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily
  Long Videos of Seizures
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
Fernando Pérez-García
C. Scott
Rachel Sparks
B. Diehl
Sébastien Ourselin
SLR
33
17
0
22 Jun 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and
  Localization
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li
Kihyuk Sohn
Jinsung Yoon
Tomas Pfister
SSLUQCV
90
782
0
08 Apr 2021
Constrained Contrastive Distribution Learning for Unsupervised Anomaly
  Detection and Localisation in Medical Images
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Yu Tian
Guansong Pang
Fengbei Liu
Yuanhong Chen
Seon Ho Shin
Johan Verjans
Rajvinder Singh
G. Carneiro
72
70
0
05 Mar 2021
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders
Anomaly Detection in Medical Imaging with Deep Perceptual Autoencoders
Nina Shvetsova
Bart Bakker
Irina Fedulova
H. Schulz
Dmitry V. Dylov
55
83
0
23 Jun 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features
  for Anomaly Detection
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
Oliver Rippel
Patrick Mertens
Dorit Merhof
133
240
0
28 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
378
18,866
0
13 Feb 2020
Machine-Learning-Based Diagnostics of EEG Pathology
Machine-Learning-Based Diagnostics of EEG Pathology
Lukas A. W. Gemein
R. Schirrmeister
P. Chrabaszcz
Daniel Wilson
Joschka Boedecker
A. Schulze-Bonhage
Frank Hutter
T. Ball
64
159
0
11 Feb 2020
GODS: Generalized One-class Discriminative Subspaces for Anomaly
  Detection
GODS: Generalized One-class Discriminative Subspaces for Anomaly Detection
Jue Wang
A. Cherian
CML
59
117
0
16 Aug 2019
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis
  in Multivariate Time Series Data
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh Chawla
AI4TS
173
702
0
20 Nov 2018
Anomaly Detection using One-Class Neural Networks
Anomaly Detection using One-Class Neural Networks
Raghavendra Chalapathy
A. Menon
Sanjay Chawla
UQCV
53
397
0
18 Feb 2018
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