Context-aware selective transfer learning improves groundwater anomaly forecasting accuracy; evaluation shows varying performance across wells
Read the original at arxiv.org→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...
Original headline: "Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs"
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- Oct 30, 04:00 UTC arXiv cs.LG lead source Selective Transfer Learning for Groundwater Level Anomaly Forecasting: Accuracy-Risk Trade-offs