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cs.CV2024
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
Kangdao Liu, Tianhao Sun, Hao Zeng +3
Hyperspectral image (HSI) classification involves assigning unique labels to each pixel to identify various land cover categories. While deep classifiers have achieved high predict…
cs.LG2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets
Kangdao Liu, Hao Zeng, Jianguo Huang +3
Conformal prediction, as an emerging uncertainty quantification technique, typically functions as post-hoc processing for the outputs of trained classifiers. To optimize the classi…
stat.ML2024
Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
Hao Zeng, Wei Zhong, Xingbai Xu
It is important to incorporate spatial geographic information into U.S. presidential election analysis, especially for swing states. The state-level analysis also faces significant…