Well-being Forecasting using a Parametric Transfer-Learning method based on the Fisher Divergence and Hamiltonian Monte Carlo

Christinaki, Eirini; Papastylianou, Tasos; Carletto, Sara; Gonzalez-Martinez, Sergio; Ostacoli, Luca; Ottaviano, Manuel; Poli, Riccardo; Citi, Luca

Well-being Forecasting using a Parametric Transfer-Learning method based on the Fisher Divergence and Hamiltonian Monte Carlo

Christinaki, Eirini and Papastylianou, Tasos and Carletto, Sara and Gonzalez-Martinez, Sergio and Ostacoli, Luca and Ottaviano, Manuel and Poli, Riccardo and Citi, Luca (2020) Well-being Forecasting using a Parametric Transfer-Learning method based on the Fisher Divergence and Hamiltonian Monte Carlo. EAI Endorsed Transactions on Bioengineering and Bioinformatics.

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Abstract

INTRODUCTION: Traditional personalised modelling typically requires sufficient personal data for training. This is a challenge in healthcare contexts, e.g. when using smartphones to predict well-being.

OBJECTIVE: A method to produce incremental patient-specific models and forecasts even in the e

Item Type:	Article
Date Deposited:	04 Mar 2026 14:06
Last Modified:	11 Apr 2026 20:27
URI:	http://eprints.eai.eu/id/eprint/33177

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