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

arXiv:2610.37733v1 Announce Type: new 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: it degrades performance on a substantial…

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1. 2026-10-30 04:00 · arXiv cs.LG
   Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs