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Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological
  Symptom Detection

Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection

International IEEE/EMBS Conference on Neural Engineering (NER), 2021
28 February 2021
Bingzhao Zhu
Mahsa Shoaran
    OOD
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection"

5 / 5 papers shown
Intelligent and Miniaturized Neural Interfaces: An Emerging Era in
  Neurotechnology
Intelligent and Miniaturized Neural Interfaces: An Emerging Era in NeurotechnologyIEEE Custom Integrated Circuits Conference (CICC), 2024
Mahsa Shoaran
Uisub Shin
MohammadAli Shaeri
180
12
0
13 May 2024
A Survey of Few-Shot Learning for Biomedical Time Series
A Survey of Few-Shot Learning for Biomedical Time SeriesIEEE Reviews in Biomedical Engineering (RBME), 2024
Chenqi Li
Timothy Denison
Tingting Zhu
273
9
0
03 May 2024
Unsupervised Multivariate Time-Series Transformers for Seizure
  Identification on EEG
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEGInternational Conference on Machine Learning and Applications (ICMLA), 2022
.Ilkay Yildiz Potter
George Zerveas
Carsten Eickhoff
D. Duncan
123
28
0
03 Jan 2023
Bridging the Gap Between Patient-specific and Patient-independent
  Seizure Prediction via Knowledge Distillation
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge DistillationJournal of Neural Engineering (J. Neural Eng.), 2022
Di Wu
Jie Yang
Mohamad Sawan
FedML
200
28
0
25 Feb 2022
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
1.1K
5,056
0
17 Feb 2017
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