Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs.

arXiv:2610.37733v1 Announce Type: cross Abstract: This work studies context-aware selective transfer learning for multi-well groundwater anomaly forecasting in the Netherlands. Source-domain pretraining can raise average accuracy but is not uniformly reliable: