Philippe J. Giabbanelli

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Attempts to model insurgency have suffered from several obstacles. Qualitative research may be vague and conflicting, while quantitative research is limited due to the difficulties of collecting sufficient data in war and inferring complex relationships. We propose an innovative combination of Fuzzy Cognitive Maps and Cellular Automata to capture this(More)
BACKGROUND Controlling bias is key to successful randomized controlled trials for behaviour change. Bias can be generated at multiple points during a study, for example, when participants are allocated to different groups. Several methods of allocations exist to randomly distribute participants over the groups such that their prognostic factors (e.g.,(More)
Retailers routinely use association mining to investigate trends in the use of their products. In the medical world, association mining is mostly used to identify associations between symptoms and diseases, or between drugs and adverse events. In comparison, there is a relative paucity of work that focuses on relationships between drugs exclusively. In this(More)
Previous researchers and educators have highlighted the potential for making computing science courses creative and fun. This can be a challenging exercise as it can be demanding in terms of resources and may lead to settings which are more entertaining than informative. In this paper, we share our experiences in introducing three ingredients to address(More)