behavioral-data / FluStudy
☆13Updated last year
Alternatives and similar repositories for FluStudy:
Users that are interested in FluStudy are comparing it to the libraries listed below
- MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis☆34Updated 6 months ago
- Time series explainability via self-supervised model behavior consistency☆43Updated last year
- ☆15Updated last year
- A Systematic Review: Self-Supervised Contrastive Learning for Medical Time Series☆26Updated 7 months ago
- [EACL 2023] Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models…☆18Updated 9 months ago
- [Nature Communications 2021] Continual learning of AI models on ECG data with CLOPS☆20Updated 2 years ago
- [Neurips 2024] A Multi-Granularity Patching Transformer for Medical Time-Series Classification☆80Updated this week
- [ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS☆52Updated 2 years ago
- [Neurips 2023] A Hierarchical Contrastive Framework for Medical Time-Series☆65Updated last year
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆25Updated 2 years ago
- ☆57Updated last year
- Contrastive Learning (SimCLR) for Human Activity Recognition☆75Updated 3 years ago
- Implementation of the InterpretTime framework☆43Updated last year
- ☆25Updated 2 years ago
- This is the official code for "Multimodal Pretraining of Medical Time Series and Notes" at Machine Learning for Health 2023☆16Updated last month
- Repository for the paper 'MDS-ED: Multimodal Decision Support in the Emergency Department – a benchmark dataset based on MIMIC-IV'.☆14Updated 5 months ago
- Official repository for distributing ECG-QA dataset☆63Updated 9 months ago
- Domain Adaptation for Time Series Under Feature and Label Shifts☆115Updated last year
- Benchmarks for Out-of-Distribution Generalization in Time Series Tasks☆68Updated 2 years ago
- Code for Retrieval-Based Reconstruction For Time-series Contrastive Learning (ICLR 2024)☆29Updated 9 months ago
- Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"☆14Updated 2 years ago
- MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)☆37Updated 7 months ago
- DBPM is a simple algorithm designed as a lightweight plug-in without learnable parameters to enhance the performance of time series contr…☆14Updated 11 months ago
- ☆51Updated 7 months ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆26Updated 3 years ago
- ☆59Updated 2 years ago
- ☆119Updated 2 months ago
- Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)☆40Updated 11 months ago
- ☆72Updated 7 months ago