Loss prediction in insurance using NLP text representation methods Amedeo Zito Intact Financial Corporation École d’actuariat, Université Laval Résumé Loss prediction in insurance has always traditionally used structured data as predictors. However, now with the growing access to state-of-the-art natural language processing models, it has become much easier to use textual data to enhance loss […]
Parsimony in simplicial intersection algorithms Conor McCoid Stagiaire postdoctoral au GIREF Département de mathématiques et de statistique, Université Laval Résumé It is important in intersection algorithms that the final result have enough points in the given dimension, i.e. when intersecting triangles it is not acceptable that the intersection has only 1 or 2 points. To […]
Multimodal brain modeling for characterizing disease mechanisms in neurodegeneration Yasser Iturria-Medina Assistant Professor Montreal Neurological Institute (McGill) Résumé Most neurodegenerative disorders are highly complex and heterogeneous, presenting alterations at multiple biological entities. We will present our work on integrating several biological scales and data modalities (from molecular omics to multimodal neuroimaging and clinical data) via […]