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Subject Transfer

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Showing 1–21 of 21 papers

TitleStatusHype
EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidanceCode2
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
SCAM! Transferring humans between images with Semantic Cross Attention ModulationCode1
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data—0
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface—0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—0
Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces—0
Cross-Subject Transfer Learning in Human Activity Recognition Systems using Generative Adversarial Networks—0
Deep learning of fMRI big data: a novel approach to subject-transfer decoding—0
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction—0
EEG-based Classification of Drivers Attention using Convolutional Neural Network—0
Interpretable Deep Neural Networks for Single-Trial EEG Classification—0
Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition—0
Reducing training requirements through evolutionary based dimension reduction and subject transfer—0
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation—0
Target-centered Subject Transfer Framework for EEG Data Augmentation—0
Transferring Spatial Filters via Tangent Space Alignment in Motor Imagery BCIs—0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
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