ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.16104
  4. Cited By
Uncovering the structure of clinical EEG signals with self-supervised
  learning

Uncovering the structure of clinical EEG signals with self-supervised learning

31 July 2020
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
D. Engemann
Alexandre Gramfort
ArXivPDFHTML

Papers citing "Uncovering the structure of clinical EEG signals with self-supervised learning"

24 / 24 papers shown
Title
EEG-Language Modeling for Pathology Detection
EEG-Language Modeling for Pathology Detection
Sam Gijsen
Kerstin Ritter
41
0
0
02 Sep 2024
Foundational GPT Model for MEG
Foundational GPT Model for MEG
Richard Csaky
M. Es
Oiwi Parker Jones
M. Woolrich
34
2
0
14 Apr 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
32
12
0
09 Jan 2024
SelfEEG: A Python library for Self-Supervised Learning in
  Electroencephalography
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
Federico Del Pup
A. Zanola
L. F. Tshimanga
P. Mazzon
M. Atzori
11
4
0
20 Dec 2023
Which Augmentation Should I Use? An Empirical Investigation of
  Augmentations for Self-Supervised Phonocardiogram Representation Learning
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas
Vasileios Papapanagiotou
Christos Diou
30
0
0
01 Dec 2023
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Semi-Supervised End-To-End Contrastive Learning For Time Series Classification
Hui Cai
Xiang Zhang
Xiaofeng Liu
AI4TS
33
0
0
13 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo V. A. Barros
A. Sciutti
SSL
25
3
0
02 Oct 2023
Neural Memory Decoding with EEG Data and Representation Learning
Neural Memory Decoding with EEG Data and Representation Learning
G. Bruns
M. Haidar
Federico Rubino
27
1
0
25 Jul 2023
Can Self-Supervised Neural Representations Pre-Trained on Human Speech
  distinguish Animal Callers?
Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?
Eklavya Sarkar
Mathew Magimai.-Doss
16
11
0
23 May 2023
Decoding Neural Activity to Assess Individual Latent State in
  Ecologically Valid Contexts
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts
Stephen M. Gordon
Jonathan R. McDaniel
Kevin W. King
Vernon J. Lawhern
J. Touryan
13
4
0
18 Apr 2023
Label-efficient Time Series Representation Learning: A Review
Label-efficient Time Series Representation Learning: A Review
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
AI4TS
27
13
0
13 Feb 2023
MAEEG: Masked Auto-encoder for EEG Representation Learning
MAEEG: Masked Auto-encoder for EEG Representation Learning
H. Chien
Hanlin Goh
Christopher M. Sandino
Joseph Y. Cheng
17
48
0
27 Oct 2022
Modeling cognitive load as a self-supervised brain rate with
  electroencephalography and deep learning
Modeling cognitive load as a self-supervised brain rate with electroencephalography and deep learning
Luca Longo
21
16
0
21 Sep 2022
Decoding speech perception from non-invasive brain recordings
Decoding speech perception from non-invasive brain recordings
Alexandre Défossez
Charlotte Caucheteux
Jérémy Rapin
Ori Kabeli
J. King
32
115
0
25 Aug 2022
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised
  Neurological Pretraining
Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
Di Wu
Siyuan Li
Jie Yang
Mohamad Sawan
SSL
28
14
0
20 Apr 2022
A streamable large-scale clinical EEG dataset for Deep Learning
A streamable large-scale clinical EEG dataset for Deep Learning
Dung Truong
Manisha Sinha
K. Venkataraju
M. Milham
Arnaud Delorme
19
4
0
04 Mar 2022
Contrastive Learning of Subject-Invariant EEG Representations for
  Cross-Subject Emotion Recognition
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition
Xinke Shen
Xianggen Liu
Xin Hu
Dan Zhang
Sen Song
25
141
0
20 Sep 2021
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche
Gideon Dresdner
Francesco Locatello
Matthias Huser
Gunnar Rätsch
18
46
0
09 Jun 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
26
49
0
29 May 2021
Self-Supervised Graph Neural Networks for Improved
  Electroencephalographic Seizure Analysis
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
Siyi Tang
Jared A. Dunnmon
Khaled Kamal Saab
Xuan Zhang
Qianying Huang
Florian Dubost
D. Rubin
Christopher Lee-Messer
25
96
0
16 Apr 2021
Self-supervised representation learning from 12-lead ECG data
Self-supervised representation learning from 12-lead ECG data
Temesgen Mehari
Nils Strodthoff
SSL
16
141
0
23 Mar 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
19
56
0
19 Feb 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1