Saved in:
| Main Authors: | Choi, Yeon-Woo, Shin, Hye-Bin, Li, Dan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.07891 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
by: Li, Dan, et al.
Published: (2025)
by: Li, Dan, et al.
Published: (2025)
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024)
by: Li, Yisheng, et al.
Published: (2024)
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
by: Li, Dan, et al.
Published: (2024)
by: Li, Dan, et al.
Published: (2024)
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
by: Wang, Zirui, et al.
Published: (2025)
by: Wang, Zirui, et al.
Published: (2025)
Enhancing Listened Speech Decoding from EEG via Parallel Phoneme Sequence Prediction
by: Lee, Jihwan, et al.
Published: (2025)
by: Lee, Jihwan, et al.
Published: (2025)
Toward Fully-End-to-End Listened Speech Decoding from EEG Signals
by: Lee, Jihwan, et al.
Published: (2024)
by: Lee, Jihwan, et al.
Published: (2024)
From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs
by: Hajhassani, Davoud, et al.
Published: (2026)
by: Hajhassani, Davoud, et al.
Published: (2026)
Context-Aware Wireless Token Communication via Joint Token Masking and Detection
by: Shin, Junyong, et al.
Published: (2026)
by: Shin, Junyong, et al.
Published: (2026)
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
by: An, Sion, et al.
Published: (2024)
by: An, Sion, et al.
Published: (2024)
Context-Aware Iterative Token Detection and Masked Transmission for Wireless Token Communication
by: Shin, Junyong, et al.
Published: (2026)
by: Shin, Junyong, et al.
Published: (2026)
EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG
by: He, ZhengXiao, et al.
Published: (2024)
by: He, ZhengXiao, et al.
Published: (2024)
Temporal Context and Architecture: A Benchmark for Naturalistic EEG Decoding
by: Ergezer, Mehmet
Published: (2026)
by: Ergezer, Mehmet
Published: (2026)
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal
by: Lam, Phat
Published: (2026)
by: Lam, Phat
Published: (2026)
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
by: Aung, Htoo Wai, et al.
Published: (2024)
by: Aung, Htoo Wai, et al.
Published: (2024)
Decoding Natural Images from EEG for Object Recognition
by: Song, Yonghao, et al.
Published: (2023)
by: Song, Yonghao, et al.
Published: (2023)
SWIM: Short-Window CNN Integrated with Mamba for EEG-Based Auditory Spatial Attention Decoding
by: Zhang, Ziyang, et al.
Published: (2024)
by: Zhang, Ziyang, et al.
Published: (2024)
Toward the application of XAI methods in EEG-based systems
by: Apicella, Andrea, et al.
Published: (2022)
by: Apicella, Andrea, et al.
Published: (2022)
ZUNA: Flexible EEG Superresolution with Position-Aware Diffusion Autoencoders
by: Warner, Christopher, et al.
Published: (2026)
by: Warner, Christopher, et al.
Published: (2026)
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
by: Wang, Jiquan, et al.
Published: (2024)
by: Wang, Jiquan, et al.
Published: (2024)
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models
by: Kim, Soowon, et al.
Published: (2024)
by: Kim, Soowon, et al.
Published: (2024)
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
by: Murad, Saydul Akbar, et al.
Published: (2024)
by: Murad, Saydul Akbar, et al.
Published: (2024)
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024)
by: Wang, Yiye, et al.
Published: (2024)
Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA
by: Bhattacharya, Sagnik, et al.
Published: (2024)
by: Bhattacharya, Sagnik, et al.
Published: (2024)
Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
by: Rezzouk, Mathis, et al.
Published: (2025)
by: Rezzouk, Mathis, et al.
Published: (2025)
A Foundation Model for Massive MIMO Precoding with an Adaptive per-User Rate-Power Tradeoff
by: Emery, Jérôme, et al.
Published: (2025)
by: Emery, Jérôme, et al.
Published: (2025)
Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising
by: Tang, Zhen, et al.
Published: (2026)
by: Tang, Zhen, et al.
Published: (2026)
Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression
by: Modesitt, Eric, et al.
Published: (2024)
by: Modesitt, Eric, et al.
Published: (2024)
Foundation Model Guided Dual-Branch Co-Adaptation for Source-Free EEG Decoding
by: Gong, Peiliang, et al.
Published: (2026)
by: Gong, Peiliang, et al.
Published: (2026)
NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
by: Cao, Jiani, et al.
Published: (2026)
by: Cao, Jiani, et al.
Published: (2026)
Interpretable and Robust AI in EEG Systems: A Survey
by: Zhou, Xinliang, et al.
Published: (2023)
by: Zhou, Xinliang, et al.
Published: (2023)
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
by: Afzal, Arshia, et al.
Published: (2024)
by: Afzal, Arshia, et al.
Published: (2024)
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
by: Kim, Sung-Jin, et al.
Published: (2024)
by: Kim, Sung-Jin, et al.
Published: (2024)
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
by: Aung, Htoo Wai, et al.
Published: (2024)
by: Aung, Htoo Wai, et al.
Published: (2024)
SPEED: Scalable Preprocessing of EEG Data for Self-Supervised Learning
by: Gjølbye, Anders, et al.
Published: (2024)
by: Gjølbye, Anders, et al.
Published: (2024)
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
by: Shi, Enze, et al.
Published: (2024)
by: Shi, Enze, et al.
Published: (2024)
How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
by: Ngo, Huyen, et al.
Published: (2024)
by: Ngo, Huyen, et al.
Published: (2024)
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information
by: Zhang, Kaifan, et al.
Published: (2024)
by: Zhang, Kaifan, et al.
Published: (2024)
CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics
by: Jang, Jong-Hwan, et al.
Published: (2025)
by: Jang, Jong-Hwan, et al.
Published: (2025)
QuantX: A Framework for Hardware-Aware Quantization of Generative AI Workloads
by: Ahmad, Muhammad, et al.
Published: (2025)
by: Ahmad, Muhammad, et al.
Published: (2025)
Similar Items
-
Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
by: Li, Dan, et al.
Published: (2025) -
SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs
by: Li, Yisheng, et al.
Published: (2024) -
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
by: Li, Dan, et al.
Published: (2024) -
EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics
by: Wang, Zirui, et al.
Published: (2025) -
Enhancing Listened Speech Decoding from EEG via Parallel Phoneme Sequence Prediction
by: Lee, Jihwan, et al.
Published: (2025)