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09/10/2023
Is Learning in Biological Neural Networks based on Stochastic Gradient Descent? An analysis using stochastic processes
In recent years, there has been an intense debate about how learning in ...
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11/24/2022
Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists
Purpose: To develop a deep learning model to segment the acute ischemic ...
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09/26/2022
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations
Performance metrics for medical image segmentation models are used to me...
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04/23/2021
Learning to reflect: A unifying approach for data-driven stochastic control strategies
Stochastic optimal control problems have a long tradition in applied pro...
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09/20/2019
Nonparametric learning for impulse control problems
One of the fundamental assumptions in stochastic control of continuous t...
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12/15/2017
Anscombe's Model for Sequential Clinical Trials Revisited
In Anscombe's classical model, the objective is to find the optimal sequ...
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09/22/2015
