Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding
Authors
Keywords
-
Journal
Frontiers in Neuroscience
Volume 17, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2023-11-03
DOI
10.3389/fnins.2023.1292724
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Motor imagery brain–computer interface rehabilitation system enhances upper limb performance and improves brain activity in stroke patients: A clinical study
- (2023) Wenzhe Liao et al. Frontiers in Human Neuroscience
- Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding
- (2023) Jiaming Chen et al. Journal of Neural Engineering
- LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interfaces and interpretability
- (2023) Zhengqing Miao et al. NEUROIMAGE
- Ensemble learning method based on temporal, spatial features with multi-scale filter banks for motor imagery EEG classification
- (2022) Liangsheng Zheng et al. Biomedical Signal Processing and Control
- Overall optimization of CSP based on ensemble learning for motor imagery EEG decoding
- (2022) Shaorong Zhang et al. Biomedical Signal Processing and Control
- Motor Imagery EEG Classification Based on Transfer Learning and Multi-Scale Convolution Network
- (2022) Zhanyuan Chang et al. Micromachines
- A parallel multi-scale time-frequency block convolutional neural network based on channel attention module for motor imagery classification
- (2022) Hongli Li et al. Biomedical Signal Processing and Control
- FBMSNet: A Filter-Bank Multi-Scale Convolutional Neural Network for EEG-Based Motor Imagery Decoding
- (2022) Ke Liu et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Feature fusion for improving performance of motor imagery brain-computer interface system
- (2021) Moein Radman et al. Biomedical Signal Processing and Control
- Two-stage improved Grey Wolf optimization algorithm for feature selection on high-dimensional classification
- (2021) Chaonan Shen et al. Complex & Intelligent Systems
- MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
- (2021) Phairot Autthasan et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A TV-log nonconvex approach for image deblurring with impulsive noise
- (2020) Benxin Zhang et al. SIGNAL PROCESSING
- Hybrid deep neural network using transfer learning for EEG motor imagery decoding
- (2020) Ruilong Zhang et al. Biomedical Signal Processing and Control
- HS-CNN: A CNN with hybrid convolution scale for EEG motor imagery classification
- (2019) Guanghai Dai et al. Journal of Neural Engineering
- A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification
- (2019) Hao Wu et al. Frontiers in Neuroscience
- Subject-Independent Brain–Computer Interfaces Based on Deep Convolutional Neural Networks
- (2019) O-Yeon Kwon et al. IEEE Transactions on Neural Networks and Learning Systems
- Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis
- (2018) Shibin Wang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification
- (2018) Sang-Hoon Park et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- EEGNet: a compact convolutional neural network for EEG-based brain--computer interfaces
- (2018) Vernon Lawhern et al. Journal of Neural Engineering
- Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
- (2018) Siavash Sakhavi et al. IEEE Transactions on Neural Networks and Learning Systems
- Sparse Group Representation Model for Motor Imagery EEG Classification
- (2018) Yong Jiao et al. IEEE Journal of Biomedical and Health Informatics
- A Nonconvex Model with Minimax Concave Penalty for Image Restoration
- (2018) Juntao You et al. JOURNAL OF SCIENTIFIC COMPUTING
- Deep learning with convolutional neural networks for EEG decoding and visualization
- (2017) Robin Tibor Schirrmeister et al. HUMAN BRAIN MAPPING
- A binary-real-coded differential evolution for unit commitment problem
- (2012) Dilip Datta et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms
- (2010) Fabien Lotte et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images
- (2010) Aditya Chopra et al. PATTERN RECOGNITION
- Optimizing Spatial filters for Robust EEG Single-Trial Analysis
- (2008) Benjamin Blankertz et al. IEEE SIGNAL PROCESSING MAGAZINE
- An efficient P300-based brain–computer interface for disabled subjects
- (2007) Ulrich Hoffmann et al. JOURNAL OF NEUROSCIENCE METHODS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started