Papers with Code 아카이브

EEG

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

0

보존된 평가 기록

0

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/sweichwald/MERLiN

공식 코드

MERLiN: Mixture Effect Recovery in Linear Networks

https://github.com/sweichwald/coroICA-python

공식 코드

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise

https://github.com/sylvchev/mdla

공식 코드

Metrics for Multivariate Dictionaries

https://github.com/sylvchev/wcci-rgcon

공식 코드

RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020

https://github.com/sylyoung/DeepTransferEEG

공식 코드

T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs

https://github.com/t0nyliang/EEGMobile

공식 코드

EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures

https://github.com/tcs211/ai_eeeg_report

공식 코드

A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation

https://github.com/theabrusch/flextime

공식 코드

FLEXtime: Filterbank learning to explain time series

https://github.com/theabrusch/multiview_ts_ssl

공식 코드

Multi-view self-supervised learning for multivariate variable-channel time series

https://github.com/theyou21/BigProject

공식 코드

Mental Task Classification Using Electroencephalogram Signal

https://github.com/thijor/pyntbci

공식 코드

Towards gaze-independent c-VEP BCI: A pilot study

https://github.com/thinknew/enk

공식 코드

EnK: Encoding time-information in convolution

https://github.com/tidiane-camaret/eegclip

공식 코드

EEG-CLIP : Learning EEG representations from natural language descriptions

https://github.com/tiehangd/MUPS

공식 코드

Ultra Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification

https://github.com/tiehangd/ue-eeg

공식 코드

Uncertainty Detection and Reduction in Neural Decoding of EEG Signals

https://github.com/tjunlp-lab/CogAlign

공식 코드

CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals

https://github.com/tonahdztoro/Toward_asynchronous

공식 코드

Toward asynchronous EEG-based BCI: Detecting imagined words segments in continuous EEG signals

https://github.com/treder/Fast-Least-Squares

공식 코드

Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA

https://github.com/tsy935/eeg-gnn-ssl

공식 코드

Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis

https://github.com/ufal/eyetracked-multi-modal-translation

공식 코드

EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios

https://github.com/uros-s/diffattractreconstruct

공식 코드

Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiators

https://github.com/vdelv/emotion-eeg

공식 코드

A Saliency based Feature Fusion Model for EEG Emotion Estimation

https://github.com/vishaln15/NeonatalSeizureDetection

공식 코드

Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge Devices

https://github.com/vlawhern/arl-eegmodels

공식 코드

EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces

https://github.com/wenhui0206/neurogpt

공식 코드

Neuro-GPT: Towards A Foundation Model for EEG

https://github.com/western-oc2-lab/signal-processing-for-machine-learning

공식 코드

On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach

https://github.com/why135724/SWPC

공식 코드

Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces

https://github.com/williamro/eeg-denoise

공식 코드

DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse

https://github.com/windowso/swim-asad

공식 코드

SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention Decoding

https://github.com/wjq-learning/cbramod

공식 코드

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

https://github.com/woldier/EEGDiR

공식 코드

EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network

https://github.com/wpf535236337/llms4ts

공식 코드

A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications

https://github.com/wzwvv/DBConformer

공식 코드

DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding

https://github.com/wzwvv/MCNet

공식 코드

MVCNet: Multi-View Contrastive Network for Motor Imagery Classification

https://github.com/xalentis/stressschizophrenia

공식 코드

The Effect of Acute Stress on the Interpretability and Generalization of Schizophrenia Predictive Machine Learning Models

https://github.com/xalentis/syntheticeeg

공식 코드

A Statistical Approach for Synthetic EEG Data Generation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.