no code implementations • 6 Jul 2022 • Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski
In this paper, we report on ongoing work regarding (i) the development of an AI system for flagging and explaining low-quality medical images in real-time, (ii) an interview study to understand the explanation needs of stakeholders using the AI system at OurCompany, and, (iii) a longitudinal user study design to examine the effect of including explanations on the workflow of the technicians in our clinics.
no code implementations • 9 Aug 2014 • Sheeraz Ahmad, Angela Yu
Sensory inference under conditions of uncertainty is a major problem in both machine learning and computational neuroscience.
no code implementations • NeurIPS 2013 • Sheeraz Ahmad, He Huang, Angela J. Yu
Humans and animals readily utilize active sensing, or the use of self-motion, to focus sensory and cognitive resources on the behaviorally most relevant stimuli and events in the environment.
no code implementations • 28 May 2013 • Sheeraz Ahmad, Angela J. Yu
Sensory inference under conditions of uncertainty is a major problem in both machine learning and computational neuroscience.