Imagen de Portada

CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Ziyue, Chen, Chengrui, Peng, Yong, Chen, Qiong, Kong, Wanzeng
Formato:	Preprint
Publicado:	2025
Materias:	Signal Processing Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
por: Liu, Xuan-Hao, et al.
Publicado: (2025)

SCFNet:A Transferable IIIC EEG Classification Network
por: Xu, Weijin
Publicado: (2024)

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
por: An, Sion, et al.
Publicado: (2024)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
por: Aristimunha, Bruno, et al.
Publicado: (2025)

Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
por: Burchert, Johannes, et al.
Publicado: (2024)

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
por: Sartipi, Shadi, et al.
Publicado: (2024)

Subject-independent Classification of Meditative State from the Resting State using EEG
por: Panachakel, Jerrin Thomas, et al.
Publicado: (2025)

Cross-Subject Depression Level Classification Using EEG Signals with a Sample Confidence Method
por: Zhang, ZhongYi, et al.
Publicado: (2025)

EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
por: Ding, Yi, et al.
Publicado: (2024)

Multi-Branch Mutual-Distillation Transformer for EEG-Based Seizure Subtype Classification
por: Peng, Ruimin, et al.
Publicado: (2024)

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding
por: Chen, Yiqiao, et al.
Publicado: (2025)

EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification
por: Gui, Yiyu, et al.
Publicado: (2024)

Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference
por: Yoneda, Seitaro, et al.
Publicado: (2025)

Cross-Subject and Cross-Montage EEG Transfer Learning via Individual Tangent Space Alignment and Spatial-Riemannian Feature Fusion
por: Lai-Tan, Nicole, et al.
Publicado: (2025)

Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
por: Chen, Mingzhi, et al.
Publicado: (2024)

Lightweight Task-Oriented Semantic Communication Empowered by Large-Scale AI Models
por: Liu, Chuanhong, et al.
Publicado: (2025)

EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
por: Aung, Htoo Wai, et al.
Publicado: (2024)

EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method
por: Peng, Wei, et al.
Publicado: (2024)

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
por: Mishra, Aditya, et al.
Publicado: (2025)

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
por: Li, Taida, et al.
Publicado: (2026)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
por: Han, Jinpei, et al.
Publicado: (2023)

Graph Neural Networks in EEG-based Emotion Recognition: A Survey
por: Liu, Chenyu, et al.
Publicado: (2024)

Emotion Detection from EEG using Transfer Learning
por: Sidharth, Sidharth, et al.
Publicado: (2023)

Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks
por: Seraphim, Mathieu, et al.
Publicado: (2024)

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification
por: Wang, Jing, et al.
Publicado: (2025)

Window Stacking Meta-Models for Clinical EEG Classification
por: Zhu, Yixuan, et al.
Publicado: (2024)

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
por: Ye, Haili, et al.
Publicado: (2024)

EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
por: Qin, Chengxuan, et al.
Publicado: (2024)

SI-SD: Sleep Interpreter through awake-guided cross-subject Semantic Decoding
por: Zheng, Hui, et al.
Publicado: (2023)

Classification of IED-free EEG Responses for Assisted Epilepsy Diagnosis
por: Zanardini, Giacomo, et al.
Publicado: (2026)

EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
por: Aung, Htoo Wai, et al.
Publicado: (2024)

TAnet: A New Temporal Attention Network for EEG-based Auditory Spatial Attention Decoding with a Short Decision Window
por: Ding, Yuting, et al.
Publicado: (2024)

Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
por: Hajisafi, Arash, et al.
Publicado: (2024)

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
por: Sartipi, Shadi, et al.
Publicado: (2024)

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
por: Mentzelopoulos, Georgios, et al.
Publicado: (2024)

The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
por: Del Pup, Federico, et al.
Publicado: (2025)

Handwriting Imagery EEG Classification based on Convolutional Neural Networks
por: Yang, Hao, et al.
Publicado: (2025)

Optimizing Neural Network Scale for ECG Classification
por: Lee, Byeong Tak, et al.
Publicado: (2023)

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
por: Fu, Xi, et al.
Publicado: (2025)

Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks
por: Park, Joshua, et al.
Publicado: (2024)