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cs.HC2023
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Xian Teng, Yongsu Ahn, Yu-Ru Lin
Big data and machine learning tools have jointly empowered humans in making data-driven decisions. However, many of them capture empirical associations that might be spurious due t…
cs.LG2023
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Yongsu Ahn, Yu-Ru Lin, Panpan Xu +1
Classification models learn to generalize the associations between data samples and their target classes. However, researchers have increasingly observed that machine learning prac…