Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Lander De Visscher

ORCID iD: 0000-0003-3918-8648

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A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation

Lander De Visscher (UGent) , Bernard De Baets (UGent) and Jan Baetens (UGent)

(2024) ENVIRONMENTAL MODELLING & SOFTWARE. 172.
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Quo vadis, agent-based modelling tools?

Aisling Daly (UGent) , Lander De Visscher (UGent) , Jan Baetens (UGent) and Bernard De Baets (UGent)

(2022) ENVIRONMENTAL MODELLING & SOFTWARE. 157.
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Assessing the effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in Belgium by means of an extended SEIQRD model and public mobility data

Tijs Alleman (UGent) , Jenna Vergeynst (UGent) , Lander De Visscher (UGent) , Michiel Rollier (UGent) , Elena Torfs (UGent) , Ingmar Nopens (UGent) and Jan Baetens (UGent)

(2021) EPIDEMICS. 37.