Generative Data-Centric Learning For Rare-Event Prediction In Imbalanced Multivariate Time Series
Wen, Junzhi
Rare-event prediction in multivariate time series (MVTS) is difficult because target events are scarce, their evidence is temporally structured, and the majority class is often large and heterogeneous. Solar flare forecasting provides a demanding case. Operationally important M- and X-class flares are rare, active regi...
- Georgia State University
- English
- DOI: 10.57709/376