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20172026
most citedGrader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy

576 citations · 601 across the 8 of their papers we have counts for

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cs.LG2019★ 6 cited

Inundation Modeling in Data Scarce Regions

Zvika Ben-Haim, Vladimir Anisimov, Aaron Yonas +4

Flood forecasts are crucial for effective individual and governmental protective action. The vast majority of flood-related casualties occur in developing countries, where providin…

cs.LG2017

Who Said What: Modeling Individual Labelers Improves Classification

Melody Y. Guan, Varun Gulshan, Andrew M. Dai +1

Data are often labeled by many different experts with each expert only labeling a small fraction of the data and each data point being labeled by several experts. This reduces the…