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cs.LG2024
Self-supervised Spatial-Temporal Learner for Precipitation Nowcasting
Haotian Li, Arno Siebes, Siamak Mehrkanoon
Nowcasting, the short-term prediction of weather, is essential for making timely and weather-dependent decisions. Specifically, precipitation nowcasting aims to predict precipitati…
cs.LG2024
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
Brandon Gower-Winter, Georg Krempl, Sergey Dragomiretskiy +2
Concept Drift has been extensively studied within the context of Stream Learning. However, it is often assumed that the deployed model's predictions play no role in the concept dri…