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MAEEG: Masked Auto-encoder for EEG Representation Learning

MAEEG: Masked Auto-encoder for EEG Representation Learning

27 October 2022
H. Chien
Hanlin Goh
Christopher M. Sandino
Joseph Y. Cheng
ArXivPDFHTML

Papers citing "MAEEG: Masked Auto-encoder for EEG Representation Learning"

30 / 30 papers shown
Title
KnowEEG: Explainable Knowledge Driven EEG Classification
KnowEEG: Explainable Knowledge Driven EEG Classification
A. Sahota
Navid Mohammadi Foumani
Raúl Santos-Rodríguez
Z. Abdallah
24
0
0
01 May 2025
Spectrally-Corrected and Regularized QDA Classifier for Spiked Covariance Model
Spectrally-Corrected and Regularized QDA Classifier for Spiked Covariance Model
Wenya Luo
Hua Li
Zhidong Bai
Zhijun Liu
61
0
0
17 Mar 2025
BioSerenity-E1: a self-supervised EEG model for medical applications
Ruggero G. Bettinardi
Mohamed Rahmouni
Ulysse Gimenez
74
0
0
13 Mar 2025
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling
Jiazhen Hong
G. Mackellar
Soheila Ghane
Mamba
72
0
0
25 Feb 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li
Xin Chen
Fanqi Shen
Junru Chen
Y. Liu
Daoze Zhang
Zhizhang Yuan
F. Zhao
Meng Li
Yang Yang
41
0
0
24 Feb 2025
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification
Younghoon Na
Hyun Keun Ahn
Hyun-Kyung Lee
Yoongeol Lee
Seung Hun Oh
Hongkwon Kim
Jeong-Gun Lee
45
0
0
13 Feb 2025
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer
  Learning
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar
Lie Lu
82
0
0
16 Dec 2024
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
Toyotaro Suzumura
H. Kanezashi
Shotaro Akahori
AI4MH
79
0
0
25 Nov 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to
  Applications
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications
Pengfei Wang
Huanran Zheng
Silong Dai
Yiqiao Wang
Xiaotian Gu
Yuanbin Wu
Xiaoling Wang
SyDa
AI4TS
45
3
0
26 Sep 2024
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Enhancing Representation Learning of EEG Data with Masked Autoencoders
Yifei Zhou
Sitong Liu
46
0
0
09 Aug 2024
Population Transformer: Learning Population-level Representations of Neural Activity
Population Transformer: Learning Population-level Representations of Neural Activity
Geeling Chau
Christopher Wang
Sabera Talukder
Vighnesh Subramaniam
Saraswati Soedarmadji
Yisong Yue
Boris Katz
Andrei Barbu
MedIm
73
0
0
05 Jun 2024
A Masked Semi-Supervised Learning Approach for Otago Micro Labels
  Recognition
A Masked Semi-Supervised Learning Approach for Otago Micro Labels Recognition
Meng Shang
L. Dedeyne
J. Dupont
Laura Vercauteren
Nadjia Amini
...
E. Gielen
Sabine Verschueren
Carolina Varon
W. de Raedt
Bart Vanrumste
25
0
0
21 May 2024
Review of Deep Representation Learning Techniques for Brain-Computer
  Interfaces and Recommendations
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
Pierre Guetschel
Sara Ahmadi
Michael Tangermann
58
0
0
17 May 2024
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and
  Multi-View Transformer
EEG2TEXT: Open Vocabulary EEG-to-Text Decoding with EEG Pre-Training and Multi-View Transformer
Hanwen Liu
Daniel Hajialigol
Benny Antony
Aiguo Han
Xuan Wang
37
10
0
03 May 2024
Evaluating Fast Adaptability of Neural Networks for Brain-Computer
  Interface
Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
Anupam Sharma
KrishnaP Miyapuram
25
0
0
14 Apr 2024
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep
  Stage Classification Using Single-Channel EEG
NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
Cheol-Hui Lee
Hakseung Kim
Hyun-jee Han
Min-Kyung Jung
Byung C. Yoon
Dong-Joo Kim
37
5
0
10 Apr 2024
Label-Efficient Sleep Staging Using Transformers Pre-trained with
  Position Prediction
Label-Efficient Sleep Staging Using Transformers Pre-trained with Position Prediction
S. Lala
Hanlin Goh
Chris Sandino
26
0
0
29 Mar 2024
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial
  attention
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention
Pierre Guetschel
Thomas Moreau
Michael Tangermann
32
9
0
18 Mar 2024
Enhancing EEG-to-Text Decoding through Transferable Representations from
  Pre-trained Contrastive EEG-Text Masked Autoencoder
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
Jiaqi Wang
Zhenxi Song
Zhengyu Ma
Xipeng Qiu
Min Zhang
Zhiguo Zhang
44
5
0
27 Feb 2024
EEG2Rep: Enhancing Self-supervised EEG Representation Through
  Informative Masked Inputs
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs
Navid Mohammadi Foumani
G. Mackellar
Soheila Ghane
Saad Irtza
Nam Nguyen
Mahsa Salehi
20
14
0
17 Feb 2024
Knowledge-guided EEG Representation Learning
Knowledge-guided EEG Representation Learning
Aditya Kommineni
Kleanthis Avramidis
Richard Leahy
Shrikanth Narayanan
SSL
27
3
0
15 Feb 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
38
12
0
09 Jan 2024
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution
Dongdong Li
Zhongliang Zeng
Zhe Wang
Hai Yang
31
0
0
03 Dec 2023
A Knowledge-Driven Cross-view Contrastive Learning for EEG
  Representation
A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation
Weining Weng
Yang Gu
Qihui Zhang
Yingying Huang
Chunyan Miao
Yiqiang Chen
28
6
0
21 Sep 2023
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on
  Biosignals
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Ran Liu
Ellen L. Zippi
Hadi Pouransari
Chris Sandino
Jingping Nie
Hanlin Goh
Erdrin Azemi
Ali Moin
39
12
0
12 Sep 2023
EEG-based Cognitive Load Classification using Feature Masked
  Autoencoding and Emotion Transfer Learning
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
Dustin Pulver
Prithila Angkan
Paul Hungler
Ali Etemad
43
5
0
01 Aug 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
38
1
0
25 Jul 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Aerial Image Object Detection With Vision Transformer Detector (ViTDet)
Liya Wang
A. Tien
49
7
0
28 Jan 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,481
0
11 Nov 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
49
203
0
28 Jan 2021
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