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stat.ML2021
Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis
Louis Falissard, Karim Bounebache, Grégoire Rey
Deep neural networks are a family of computational models that are naturally suited to the analysis of hierarchical data such as, for instance, sequential data with the use of recu…
stat.ML2019
A deep artificial neural network based model for underlying cause of death prediction from death certificates
Louis Falissard, Claire Morgand, Sylvie Roussel +4
Underlying cause of death coding from death certificates is a process that is nowadays undertaken mostly by humans with a potential assistance from expert systems such as the Iris…