Terrance E. Boult

This paper applies Extreme Value Theory to model decision boundaries in visual recognition, showing that Weibull fits better predict human category shifts in both 1D and 2D stimuli compared to central tendency models.

This study evaluates 22 chromatin loop calling methods using Hi-C data, identifies their strengths and weaknesses, and introduces a new robustness score for performance assessment.