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GANSER: A Self-supervised Data Augmentation Framework for EEG-based
  Emotion Recognition

GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition

7 September 2021
Zhi Zhang
S. Zhong
Y. Liu
ArXivPDFHTML

Papers citing "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"

11 / 11 papers shown
Title
Protecting Intellectual Property of EEG-based Neural Networks with Watermarking
Protecting Intellectual Property of EEG-based Neural Networks with Watermarking
Ahmed Abdelaziz
Ahmed Fathi
Ahmed Fares
48
0
0
09 Feb 2025
EEG-based Multimodal Representation Learning for Emotion Recognition
EEG-based Multimodal Representation Learning for Emotion Recognition
Kang Yin
Hye-Bin Shin
Dan Li
Seong-Whan Lee
16
3
0
29 Oct 2024
EEG-Language Modeling for Pathology Detection
EEG-Language Modeling for Pathology Detection
Sam Gijsen
Kerstin Ritter
39
0
0
02 Sep 2024
A novel dual-stream time-frequency contrastive pretext tasks framework
  for sleep stage classification
A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification
Sergio Kazatzidis
S. Mehrkanoon
AI4TS
14
1
0
15 Dec 2023
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
21
1
0
03 Dec 2023
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A Survey
Ou Wu
Rujing Yao
28
1
0
25 Oct 2023
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral
  Physiological Signals
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological Signals
Eleonora Lopez
Eleonora Chiarantano
Eleonora Grassucci
Danilo Comminiello
25
12
0
11 Oct 2023
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological
  Representation Learning
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning
Philipp Hallgarten
David Bethge
Ozan Özdenizci
T. Große-Puppendahl
Enkelejda Kasneci
AI4TS
6
0
0
10 Jun 2023
Synthesizing Affective Neurophysiological Signals Using Generative
  Models: A Review Paper
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper
A. F. Nia
Vanessa Tang
G. M. Talou
Mark Billinghurst
18
4
0
05 Jun 2023
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG
  Signals
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals
Sung-Jin Kim
Dae-Hyeok Lee
Yeonjong Choi
13
4
0
13 Dec 2022
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion
  Recognition
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition
Haoning Kan
Jiale Yu
Jiajin Huang
Zihe Liu
Haiyan Zhou
6
27
0
12 Jul 2022
1