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 ...
IEEE

A Time Series Forecasting Method and Application with Interpretable Low-rank Variable-Correlation Matrix

Abstract: It remains a challenging to capture inter-variable correlations in time series forecasting (TSF), which leads researchers to focus more on channel-independent TSF methods. However, it is ...