Objective The left atrial stiffness index (LASI) has been proven to be a promising marker for assessing left atrial (LA) and ...
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
The goal of this regression-centric space is to tell fantasy football folks which of their borderline fantasy options are running particularly hot or particularly cold, to use a little technical ...
Objectives Metabolic-associated fatty liver disease (MAFLD) is becoming increasingly prevalent worldwide, however, early ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Ayikwa, L. C., Mfiri, K. J., & Mbende, M. N. (2025) Validation of the Workplace Bullying Spectrum Scale: A Study of the ...
Abstract: More and more time series data appear in various fields, and the prediction of multivariate time series has been the key to solve many industrial problems. Therefore, it is necessary to ...
Abstract: Effective utilization of signals collected by distributed sensor networks is crucial for tracking degradation and forecasting the remaining useful life (RUL) of rolling bearings. The phase ...
If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting
Code for our SIGKDD'22 paper: "Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting". The code is developed with BasicTS, a PyTorch-based benchmark and ...
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