IEEE

Correlation based LSTM for Multivariate Time Series Anomaly Detection

Abstract: With the proliferation of multivariate time series data in various fields, this paper proposes an anomaly detection method based on modelling the correlation of multivariate time series. The ...
GitHub

MMER: Python Package for Multivariate Mixed Effects Regression

MMER is a Python package for multivariate mixed-effects regression featuring a modular fixed-effects component. It supports parametric and non-parametric machine learning regressors (neural networks, ...
IEEE

Multivariate Correlation Self-Distillation Transformer for Time Series Forecasting With Incomplete Data

Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...
Frontiers

Enhanced recovery mitigates sodium-glucose cotransporter-2 inhibitors associated mobility decline in valve surgery patients

Sodium-glucose cotransporter-2 inhibitors (SGLT2i) are integral to quadruple therapy for perioperative heart failure management in valvular heart disease (VHD) patients. Despite cardioprotective ...