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

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

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

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

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

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

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

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

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

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

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.

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