Abstract: Accurate and physiologically interpretable postprandial glucose prediction is of importance in diabetes self-management. In this work, the problem of personalized glucose prediction is ...
Abstract: This paper introduces a novel distributed Cauchy-kernel-based maximum correntropy filter designed to address the state estimation problem in multi-area power systems under non-Gaussian noise ...
This repository contains the source code used to produce the results obtained in Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection submitted to Journal of ...