Výsledky vyhledávání - "Falissard, Louis"

Akademický článek

A Deep Artificial Neural Network−Based Model for Prediction of Underlying Cause of Death From Death Certificates: Algorithm Development and Validation

Autor: Falissard, Louis, Morgand, Claire, Roussel, Sylvie, Imbaud, Claire, Ghosn, Walid, Bounebache, Karim, Rey, Grégoire

Publikováno v: JMIR Medical Informatics, Vol 8, Iss 4, p e17125 (2020)

BackgroundCoding of underlying causes of death from death certificates is a process that is nowadays undertaken mostly by humans with potential assistance from expert systems, such as the Iris software. It is, consequently, an expensive process that

Externí odkaz: https://doaj.org/article/ebce51c56e744be59dafc61f20d94428

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Improving generalization in large language models by learning prefix subspaces

Autor: Falissard, Louis, Guigue, Vincent, Soulier, Laure

This article focuses on large language models (LLMs) fine-tuning in the scarce data regime (also known as the "few-shot" learning setting). We propose a method to increase the generalization capabilities of LLMs based on neural network subspaces. Thi

Externí odkaz: http://arxiv.org/abs/2310.15793

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Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis

Autor: Falissard, Louis, Bounebache, Karim, Rey, Grégoire

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 recurrent neural networks. In the other hand, ordinal regression is a well

Externí odkaz: http://arxiv.org/abs/2101.02609

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Neural translation and automated recognition of ICD10 medical entities from natural language

Autor: Falissard, Louis, Morgand, Claire, Roussel, Sylvie, Imbaud, Claire, Ghosn, Walid, Bounebache, Karim, Rey, Grégoire

The recognition of medical entities from natural language is an ubiquitous problem in the medical field, with applications ranging from medical act coding to the analysis of electronic health data for public health. It is however a complex task usual

Externí odkaz: http://arxiv.org/abs/2004.13839

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A deep artificial neural network based model for underlying cause of death prediction from death certificates

Autor: Falissard, Louis, Morgand, Claire, Roussel, Sylvie, Imbaud, Claire, Ghosn, Walid, Bounebache, Karim, Rey, Grégoire

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 software. It is as a consequence an expensive process that can in addi

Externí odkaz: http://arxiv.org/abs/1908.09712

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Deep clustering of longitudinal data

Autor: Falissard, Louis, Fagherazzi, Guy, Howard, Newton, Falissard, Bruno

Deep neural networks are a family of computational models that have led to a dramatical improvement of the state of the art in several domains such as image, voice or text analysis. These methods provide a framework to model complex, non-linear inter

Externí odkaz: http://arxiv.org/abs/1802.03212

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Apprentissage de sous-espaces de préfixes

Autor: Falissard, Louis, Guigue, Vincent, Soulier, Laure

Publikováno v: Actes de CORIA-TALN 2023. Actes de la 18e Conférence en Recherche d'Information et Applications (CORIA)
18e Conférence en Recherche d'Information et Applications--16e Rencontres Jeunes Chercheurs en RI--30e Conférence sur le Traitement Automatique des Langues Naturelles--25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues
18e Conférence en Recherche d'Information et Applications--16e Rencontres Jeunes Chercheurs en RI--30e Conférence sur le Traitement Automatique des Langues Naturelles--25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Jun 2023, Paris, France. pp.59-73

International audience; Cet article propose une nouvelle façon d'ajuster des modèles de langue en "Few-shot learning" se basant sur une méthode d'optimisation récemment introduite en vision informatique, l'apprentissage de sous-espaces de modèle

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::e3cf3006d90b176f7e7492585d5d8d0c
https://hal.science/hal-04131562

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Akademický článek

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Epidémiologie profonde : méthodes d’apprentissage profond et leurs applications sur des bases de données médico-administratives

Autor: Falissard, Louis

Publikováno v: Santé publique et épidémiologie. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPASR019⟩

The exploitation of electronic health databases has gained a significant amount of interest in fields such as epidemiology or public health. On another hand, the raise of machine learning, and most specifically deep learning in the past decade has le

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1398::3ecac28df051f6858b61b2c9633f7ba8
https://tel.archives-ouvertes.fr/tel-03402715/document

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