Betsy began her career in international finance and it has since grown into a comprehensive approach to journalism as she's been able to tap into that experience along with her time spent in academia ...
Abstract: In multivariate time series (MTS) analysis, data loss is a critical issue that degrades analytical model performance and impairs downstream tasks such as structural health monitoring (SHM) ...
Abstract: Multivariate time series is prevalent in many scientific and industrial domains. Modeling multivariate signals is challenging due to their long-range temporal dependencies and intricate ...
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 ...
This research network seeks to provide a voice for the displaced and facilitates a platform for research projects with our global partners The Displacement Studies Research Network is a global ...
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