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08/17/2022
Prediction of Oral Food Challenges via Machine Learning
Oral Food Challenges (OFCs) are essential to accurately diagnosing food ...
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12/09/2021
A Novel Tropical Geometry-based Interpretable Machine Learning Method: Application in Prognosis of Advanced Heart Failure
A model's interpretability is essential to many practical applications s...
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03/19/2021
A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems
In this paper, we show a physics-informed neural network solver for the ...
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07/09/2020
Transparency Tools for Fairness in AI (Luskin)
We propose new tools for policy-makers to use when assessing and correct...
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04/09/2019