Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mickael Febrissy"'
Autor:
Isabelle Pin, Jocelyne Just, Rachel Nadif, Valérie Siroux, Mickael Febrissy, Miora Valérie Andrianjafimasy, Nicole Le Moual, Frederic Gormand, Régis Matran, Orianne Dumas, Mohamed Nadif
Publikováno v:
BMJ Open Respiratory Research, Vol 7, Iss 1 (2020)
Background Identifying relevant asthma endotypes may be the first step towards improving asthma management. We aimed identifying respiratory endotypes in adults using a cluster analysis and to compare their clinical characteristics at follow-up.Metho
Externí odkaz:
https://doaj.org/article/5ca91af166504d8f8a1691453eff37d1
Publikováno v:
Neurocomputing
Neurocomputing, 2022, 495, pp.105-117. ⟨10.1016/j.neucom.2022.04.122⟩
Neurocomputing, 2022, 495, pp.105-117. ⟨10.1016/j.neucom.2022.04.122⟩
International audience; Non-negative Matrix Factorization (NMF) and its variants have been successfully used for clustering text documents. However, NMF approaches like other models do not explicitly account for the contextual dependencies between wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4098a987d1467e067ee40f15f15cc3e6
https://doi.org/10.1016/j.neucom.2022.04.122
https://doi.org/10.1016/j.neucom.2022.04.122
Autor:
Mickael Febrissy, Mohamed Nadif
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030645823
LOD (1)
LOD (1)
In the field of document clustering (or dictionary learning), the fitting error called the Wasserstein (In this paper, we use “Wasserstein”, “Earth Mover’s”, “Kantorovich–Rubinstein” interchangeably) distance showed some advantages fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3970b87153b0e740148728b6117f3d3
https://doi.org/10.1007/978-3-030-64583-0_29
https://doi.org/10.1007/978-3-030-64583-0_29
Autor:
Mohamed Nadif, Mickael Febrissy
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030445836
IDA
IDA
Nonnegative Matrix Factorization (NMF) which was originally designed for dimensionality reduction has received throughout the years a tremendous amount of attention for clustering purposes in several fields such as image processing or text mining. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40fd9a705bb9bf5732a3e5f499a4bcf6
https://doi.org/10.1007/978-3-030-44584-3_14
https://doi.org/10.1007/978-3-030-44584-3_14
Autor:
Catherine Quinot, Miora Andrianjafimasy, Valérie Siroux, Nicole Le Moual, Orianne Dumas, Mickael Febrissy, Brigitte Dananché, Jan Paul Zock, Dominique Oberson-Geneste, Farid Zerimech, Mohamed Nadif, Hans Kroumhout, Rachel Nadif, Régis Matran, Vivi Schlünssen
Publikováno v:
Occupational and environmental health.
The biological mechanisms involved in asthma caused by occupational irritants remain poorly understood. Occupational exposure to irritants may be associated to a specific asthma endotype. We aimed to study the associations between occupational exposu
Autor:
Frédéric Gormand, Mickael Febrissy, Rachel Nadif, Valérie Siroux, Jocelyne Just, Miora Andrianjafimasy, Orianne Dumas, Régis Matran, Nicole Le Moual, Mohamed Nadif, Isabelle Pin
Publikováno v:
Epidemiology.
A recent approach to tackle airway diseases recommends deconstructing them into identifiable and treatable traits [Pavord I, Lancet 2018]. We aimed at identifying adult asthma phenotypes using a cluster analysis, integrating for the first time inflam