Giabbanelli Research Group
Giabbanelli Research Group
Dr. Giabbanelli
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R. Crutzen
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FCMpy: A python module for constructing and analyzing fuzzy cognitive maps
Dealing with complexity: how to use a hybrid approach to incorporate complexity in health behavior interventions
Using agent-based models to develop public policy about food behaviours: future directions and recommendations
Identifying binge drinkers based on parenting dimensions and alcohol-specific parenting practices: building classifiers on adolescent-parent paired data
Using classifiers to identify binge drinkers based on drinking motives
Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach
Supporting self-management in obesity using a novel game architecture
An agent-based social network model of binge drinking among Dutch adults
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