Federico Galvanin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 13

Top Topics

Preference Learning

Parameter Estimation

Stochastic Model

Experimental Design

Top Venues

Comput. Chem. Eng.

Comput. Methods Programs Biomed.

Publications

Enrico Sangoi, Marco Quaglio, Fabrizio Bezzo, Federico Galvanin
An optimal experimental design framework for fast kinetic model identification based on artificial neural networks. Comput. Chem. Eng. 187 (2024)
Andrea Friso, Federico Galvanin
An optimization-free Fisher information driven approach for online design of experiments. Comput. Chem. Eng. 187 (2024)
Francesca Cenci, Arun Pankajakshan, Pierantonio Facco, Federico Galvanin
An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty. Comput. Chem. Eng. 177 (2023)
Chunbing Huang, Federica Cattani, Federico Galvanin
An optimal experimental design strategy for improving parameter estimation in stochastic models. Comput. Chem. Eng. 170 (2023)
Panagiotis Petsagkourakis, Federico Galvanin
Safe model-based design of experiments using Gaussian processes. Comput. Chem. Eng. 151 (2021)
Marco Quaglio, Louise Roberts, Mohd Safarizal Bin Jaapar, Eric S. Fraga, Vivek Dua, Federico Galvanin
An artificial neural network approach to recognise kinetic models from experimental data. Comput. Chem. Eng. 135 (2020)
Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona
Chance Constrained Policy Optimization for Process Control and Optimization. CoRR (2020)
Panagiotis Petsagkourakis, Federico Galvanin
Safe model-based design of experiments using Gaussian processes. CoRR (2020)
Marco Quaglio, Eric S. Fraga, Federico Galvanin
A diagnostic procedure for improving the structure of approximated kinetic models. Comput. Chem. Eng. 133 (2020)
B. Taverna, A. Casonato, Fabrizio Bezzo, Federico Galvanin
A framework for the optimal design of a minimum set of clinical trials to characterize von Willebrand disease. Comput. Methods Programs Biomed. 179 (2019)
Marco Quaglio, Conor Waldron, Arun Pankajakshan, Enhong Cao, Asterios Gavriilidis, Eric S. Fraga, Federico Galvanin
An online reparametrisation approach for robust parameter estimation in automated model identification platforms. Comput. Chem. Eng. 124 (2019)
Federico Galvanin, Enhong Cao, Noor Al-Rifai, Asterios Gavriilidis, Vivek Dua
A joint model-based experimental design approach for the identification of kinetic models in continuous flow laboratory reactors. Comput. Chem. Eng. 95 (2016)
Riccardo De Luca, Federico Galvanin, Fabrizio Bezzo
A methodology for direct exploitation of available information in the online model-based redesign of experiments. Comput. Chem. Eng. 91 (2016)
Federico Galvanin, Massimiliano Barolo, Fabrizio Bezzo
On the use of continuous glucose monitoring systems to design optimal clinical tests for the identification of type 1 diabetes models. Comput. Methods Programs Biomed. 109 (2) (2013)
Federico Galvanin, Massimiliano Barolo, Gabriele Pannocchia, Fabrizio Bezzo
Online model-based redesign of experiments with erratic models: A disturbance estimation approach. Comput. Chem. Eng. 42 (2012)
Federico Galvanin, Massimiliano Barolo, Sandro Macchietto, Fabrizio Bezzo
Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch. Medical Biol. Eng. Comput. 49 (3) (2011)