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Abstract: Transfer learning has been widely used in different scenarios, especially in those lacking enough labeled data. However, most of the existing transfer learning methods are based on the ...

nyc-geo-toolkit packages canonical NYC boundary layers and the small helper API needed to discover, normalize, load, subset, and convert them. The initial release focuses on: packaged boundary layers ...

Abstract: Class imbalance poses a significant challenge in machine learning (ML), often leading to biased models favouring the majority class. In this paper, we propose GAT-RWOS, a novel graph-based ...