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10/30/2022
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
We study the statistical properties of learning to defer (L2D) to multip...
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02/08/2022
Calibrated Learning to Defer with One-vs-All Classifiers
The learning to defer (L2D) framework has the potential to make AI syste...
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04/05/2019
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
The detection of new or enlarged white-matter lesions in multiple sclero...
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01/22/2019
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Segmentation of both white matter lesions and deep grey matter structure...
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02/05/2018
An AI aid to the editors. Exploring the possibility of an AI assisted article classification system
This work is a preliminary exploratory study of how we could progress a ...
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02/05/2018
