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EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion
  for High-Dimensional EEG with An Application to Emotion Recognition

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition

7 February 2021
Zhen Liang
Rushuang Zhou
Li Zhang
Linling Li
Gan Huang
Zhiguo Zhang
S. Ishii
ArXivPDFHTML

Papers citing "EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition"

23 / 23 papers shown
Title
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
Benjamin J. Choi
98
1
0
07 Feb 2025
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
53
0
0
13 Oct 2023
Understanding Geometry of Encoder-Decoder CNNs
Understanding Geometry of Encoder-Decoder CNNs
J. C. Ye
Woon Kyoung Sung
3DV
AI4CE
48
72
0
22 Jan 2019
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
89
3,978
0
15 Jul 2018
Unsupervised Detection of Lesions in Brain MRI using constrained
  adversarial auto-encoders
Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
Xiaoran Chen
E. Konukoglu
MedIm
59
264
0
13 Jun 2018
Adversarial Auto-encoders for Speech Based Emotion Recognition
Adversarial Auto-encoders for Speech Based Emotion Recognition
Saurabh Sahu
Rahul Gupta
Ganesh Sivaraman
Wael AbdAlmageed
C. Espy-Wilson
GAN
41
66
0
06 Jun 2018
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation
Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation
Mohammad Akbari
Jie Liang
GAN
43
19
0
01 Jun 2018
An overview of deep learning based methods for unsupervised and
  semi-supervised anomaly detection in videos
An overview of deep learning based methods for unsupervised and semi-supervised anomaly detection in videos
Dilip Ravi Kiran
Mathew Thomas
Ranjith Parakkal
64
447
0
09 Jan 2018
Deep Spatial Feature Reconstruction for Partial Person
  Re-identification: Alignment-Free Approach
Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-Free Approach
Lingxiao He
Jian Liang
Haiqing Li
Zhenan Sun
54
290
0
03 Jan 2018
Deep Recurrent Generative Decoder for Abstractive Text Summarization
Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li
Wai Lam
Lidong Bing
Zihao Wang
BDL
DRL
55
211
0
02 Aug 2017
Deep learning with convolutional neural networks for EEG decoding and
  visualization
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister
Jost Tobias Springenberg
Lukas Dominique Josef Fiederer
Martin Glasstetter
Katharina Eggensperger
Michael Tangermann
Frank Hutter
Wolfram Burgard
Tonio Ball
64
1,924
0
15 Mar 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
75
193
0
07 Jan 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
86
2,855
0
23 Nov 2016
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM
  Encoder-Decoder
Tweet2Vec: Learning Tweet Embeddings Using Character-level CNN-LSTM Encoder-Decoder
Soroush Vosoughi
Prashanth Vijayaraghavan
D. Roy
SSL
46
180
0
26 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
422
37,704
0
20 May 2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating
  Dialogues
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues
Iulian Serban
Alessandro Sordoni
Ryan J. Lowe
Laurent Charlin
Joelle Pineau
Aaron Courville
Yoshua Bengio
BDL
121
1,106
0
19 May 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
44
814
0
13 Apr 2016
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
82
2,224
0
18 Nov 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
374
12,662
0
11 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
363
43,511
0
17 Sep 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
321
20,491
0
10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
197
6,760
0
03 Sep 2014
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
Graph Degree Linkage: Agglomerative Clustering on a Directed Graph
Wayne Zhang
Xiaogang Wang
Deli Zhao
Xiaoou Tang
54
170
0
25 Aug 2012
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