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Debiasing Evaluations That are Biased by Evaluations
It is common to evaluate a set of items by soliciting people to rate the...
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Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons
A number of applications (e.g., AI bot tournaments, sports, peer grading...
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Your 2 is My 1, Your 3 is My 9: Handling Arbitrary Miscalibrations in Ratings
Cardinal scores (numeric ratings) collected from people are well known t...
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Representing data by sparse combination of contextual data points for classification
In this paper, we study the problem of using contextual da- ta points of...
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Joint-ViVo: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification in Medical Images
Automatically classifying the tissues types of Region of Interest (ROI) ...
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Jingyan Wang
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