comp-well-org / Data_Augmentation_for_Biobehavioral_Time_Series_DataLinks
This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning"
☆12Updated 3 years ago
Alternatives and similar repositories for Data_Augmentation_for_Biobehavioral_Time_Series_Data
Users that are interested in Data_Augmentation_for_Biobehavioral_Time_Series_Data are comparing it to the libraries listed below
Sorting:
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆29Updated 2 years ago
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆25Updated 10 months ago
- The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer…☆50Updated 2 years ago
- ☆66Updated 2 years ago
- Official implementation of SWL-Adapt.☆14Updated 2 years ago
- The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning☆62Updated last year
- Contrastive Learning for Domain Adaptation of Time Series☆94Updated last year
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆60Updated last year
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆41Updated 4 years ago
- Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time s…☆18Updated 11 months ago
- ☆32Updated 2 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series☆77Updated 2 years ago
- [TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification☆166Updated last year
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆33Updated last year
- TapNet: Multivariate Time Series Classification withAttentional Prototypical Network☆10Updated 5 years ago
- ☆14Updated last year
- Implementation of Contrastive Predictive Coding for Human Activity Recognition☆30Updated 3 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆83Updated 8 months ago
- Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)☆53Updated last year
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆221Updated 2 years ago
- Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation☆10Updated 4 years ago
- Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification☆21Updated 4 years ago
- [TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation☆47Updated 2 years ago
- The repository provides code implementations and illustrative examples of NeurIPS 2023 paper, Finding Order in Chaos: A Novel Data Augmen…☆36Updated last year
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆23Updated 2 years ago
- [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification☆151Updated 8 months ago
- [IEEE TNSRE] Mixture of Experts for EEG-Based Seizure Subtype Classification☆11Updated last year
- This paper was submitted to ICASSP 2023: Exploiting Interactivity and Heterogeneity for Sleep Stage Classification via Heterogeneous Grap…☆26Updated 2 years ago