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adast

[IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

adatime

[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

attnsleep

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

ca-tcc

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

ce7454_project

cotmix

[TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup

ecgtransform

[Biomedical Signal Processing and Control] ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer

eval_ssl_ssc

[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

face-anti-spoofing

Pretrained Keras model for face anti-spoofing or face liveness detection problem based on rPPG features

mapu_sfda_ts

[KDD 2023] Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

semi-supervised_baselines

Self- and Semi-supervised learning baselines. Used in CA-TCC paper.

slarda

[IEEE TNNLS] Self-supervised Autoregressive Domain Adaptation for Time Series Data

sleep-stage-classification-papers

This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.

ts-tcc

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

tslanet

[ICML 2024] A novel, efficient approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks