74 citations · 74 across the 6 of their papers we have counts for
5 papers
Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon
Halar Memon, Eskil Gjerde, Alex Lynam +4
In this study, the first-of-its-kind use of active learning (AL) framework in thermal spray is adapted to improve the prediction accuracy of the in-flight particle characteristics…
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy +4
This paper presents an open-source Python toolbox called Ensemble Feature Importance (EFI) to provide machine learning (ML) researchers, domain experts, and decision makers with ro…
Juxtaposition of System Dynamics and Agent-based Simulation for a Case Study in Immunosenescence
Grazziela P. Figueredo, Peer-Olaf Siebers, Uwe Aickelin +2
Advances in healthcare and in the quality of life significantly increase human life expectancy. With the ageing of populations, new un-faced challenges are brought to science. The…
Comparing Stochastic Differential Equations and Agent-Based Modelling and Simulation for Early-stage Cancer
Grazziela P Figueredo, Peer-Olaf Siebers, Markus R Owen +2
There is great potential to be explored regarding the use of agent-based modelling and simulation as an alternative paradigm to investigate early-stage cancer interactions with the…
System Dynamics Modelling of the Processes Involving the Maintenance of the Naive T Cell Repertoire
Grazziela P. Figueredo, Uwe Aickelin, Amanda Whitbrook
The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immunodegradation that indicate signs of f…