most citedIntegrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling

4 citations · 6 across the 5 of their papers we have counts for

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eess.SY2026

Transfer Meta-Learning for State Space Autoencoders

Stefano De Carli, Daniele Masti, Davide Previtali +1

Nonlinear system identification often requires costly experimental campaigns and separate model fitting for each different instance (target system) of a given system family. To red…

eess.SY2025

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells

Davide Previtali, Daniele Masti, Mirko Mazzoleni +1

This paper addresses the estimation of the State Of Charge (SOC) of lithium-ion cells via the combination of two widely used paradigms: Kalman Filters (KFs) equipped with Equivalen…