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De-identification of Emergency Medical Records in French: Survey and Comparison of State-of-the-Art Automated Systems., , , , , , and . FLAIRS, (2021)Optimising Criteria for Manual Smear Review Following Automated Blood Count Analysis: A Machine Learning Approach., , and . IBICA, volume 1372 of Advances in Intelligent Systems and Computing, page 380-391. Springer, (2020)Representation Learning of Compositional Data., , , , and . NeurIPS, page 6680-6690. (2018)Serious Games for Training in Patient Flow Management in Emergency Departments: State of the Art and Perspectives - Serious Games for Training ED professionals., , , , and . FLAIRS, AAAI Press, (2023)Mind The Gap! A study of some pitfalls preventing peak performance in polyhedral compilation using a polyhedral antidote, , , , , , , , , and 1 other author(s). IMPACT 2015, Fifth International Workshop on Polyhedral Compilation Techniques, In conjunction with HiPEAC 2015, (2015)Parsimonious additive models, , and . Computational Statistics & Data Analysis, 51 (6): 2851--2870 (Mar 1, 2007)MAVIE-Lab Sports: A mHealth for Injury Prevention and Risk Management in Sport., , , , , and . DH, page 158-159. ACM, (2018)Pre-Training A Neural Language Model Improves the Sample Efficiency of an Emergency Room Classification Model., , , , , and . FLAIRS, page 264-269. AAAI Press, (2020)A decision-making tool to fine-tune abnormal levels in the complete blood count tests., , and . CoRR, (2020)Public Health surveillance from emergency call center data: visualization dashboard and NLP of call reports Public Health surveillance from EMCC data., , , , and . FLAIRS, (2022)