11 citations · 18 across the 5 of their papers we have counts for
5 papers
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
Nabeel Seedat, Jonathan Crabbé, Ioana Bica +1
High model performance, on average, can hide that models may systematically underperform on subgroups of the data. We consider the tabular setting, which surfaces the unique issue…
MCU-Net: A framework towards uncertainty representations for decision support system patient referrals in healthcare contexts
Nabeel Seedat
Incorporating a human-in-the-loop system when deploying automated decision support is critical in healthcare contexts to create trust, as well as provide reliable performance on a…
Automated machine vision enabled detection of movement disorders from hand drawn spirals
Nabeel Seedat, Vered Aharonson, Ilana Schlesinger
A widely used test for the diagnosis of Parkinson's disease (PD) and Essential tremor (ET) is hand-drawn shapes,where the analysis is observationally performed by the examining neu…
Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data
Nabeel Seedat, Vered Aharonson
Clinical methods that assess gait in Parkinson's Disease (PD) are mostly qualitative. Quantitative methods necessitate costly instrumentation or cumbersome wearable devices, which…
Towards calibrated and scalable uncertainty representations for neural networks
Nabeel Seedat, Christopher Kanan
For many applications it is critical to know the uncertainty of a neural network's predictions. While a variety of neural network parameter estimation methods have been proposed fo…