Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

by Umberto | Jan 15, 2021

Summary Journal: The Lancet – https://www.thelancet.com/journals/lancet/home Background The accuracy of current prediction tools for ischaemic and bleeding events after an acute coronary syndrome (ACS) remains insufficient for individualised patient management...

Dual Oxygen and Temperature Luminescence Learning Sensor with Parallel Inference

by Umberto | Oct 1, 2020

Dual Oxygen and Temperature Luminescence Learning Sensor with Parallel Inference by Francesca Venturini 1,2, Umberto Michelucci 2,3 and Michael Baumgartner 1 1 Institute of Applied Mathematics and Physics, Zurich University of Applied Sciences, Technikumstrasse 9,...

Multi-task learning for multi-dimensional regression: application to luminescence sensing

by Umberto | Sep 30, 2019

Multi-Task Learning for Multi-Dimensional Regression: Application to Luminescence Sensing Abstract The classical approach to non-linear regression in physics is to take a mathematical model describing the functional dependence of the dependent variable from a set of...

Optical Oxygen Sensing with Artificial Intelligence

by Umberto | Jan 1, 2019

Optical Oxygen Sensing with Artificial Intelligence PDF...

Mn4+-doped magnesium titanate : a promising phosphor for self-referenced optical temperature sensing

by Umberto | Feb 18, 2018

Mn4+-Doped Magnesium Titanate—A Promising Phosphor for Self-Referenced Optical Temperature Sensing by Francesca Venturini 1,*, Michael Baumgartner 1 and Sergey M. Borisov 2,* 1 Institute of Applied Mathematics and Physics, Zurich University of Applied Sciences,...