Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Mohamed Nadif"'
Publikováno v:
Journal of Statistical Software, Vol 88, Iss 1, Pp 1-29 (2019)
Co-clustering (also known as biclustering), is an important extension of cluster analysis since it allows to simultaneously group objects and features in a matrix, resulting in row and column clusters that are both more accurate and easier to interpr
Externí odkaz:
https://doaj.org/article/96d61ac21f8745ee979295c451ff1211
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:
Image Processing On Line. 12:590-603
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Autor:
Mira Ait-Saada, Mohamed Nadif
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1be1eb79258157273161826fcfb8a356
https://doi.org/10.1007/978-3-031-30047-9_1
https://doi.org/10.1007/978-3-031-30047-9_1
Publikováno v:
Neurocomputing
Neurocomputing, 2022, 468, pp.464-468. ⟨10.1016/j.neucom.2021.09.036⟩
Neurocomputing, 2022, 468, pp.464-468. ⟨10.1016/j.neucom.2021.09.036⟩
International audience; Tensor data analysis is the evolutionary step of data analysis to more than two dimensions. Dealing with tensor data is often based on tensor decomposition methods. The present paper focuses on unsupervised learning and provid
Autor:
Lazhar Labiod, Mohamed Nadif
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems, In press, ⟨10.1109/TNNLS.2022.3183273⟩
IEEE Transactions on Neural Networks and Learning Systems, In press, ⟨10.1109/TNNLS.2022.3183273⟩
International audience; Representation learning is a central problem of Attributed Networks data analysis in a variety of fields. Given an attributed graph, the objectives are to obtain a representation of nodes and a partition of the set of nodes. U
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Autor:
Miora Valérie Andrianjafimasy, Mickaël Febrissy, Farid Zerimech, Brigitte Dananché, Hans Kromhout, Régis Matran, Mohamed Nadif, Dominique Oberson-Geneste, Catherine Quinot, Vivi Schlünssen, Valérie Siroux, Jan-Paul Zock, Nicole Le Moual, Rachel Nadif, Orianne Dumas
Publikováno v:
Andrianjafimasy, M V, Febrissy, M, Zerimech, F, Dananché, B, Kromhout, H, Matran, R, Nadif, M, Oberson-Geneste, D, Quinot, C, Schlünssen, V, Siroux, V, Zock, J P, Le Moual, N, Nadif, R & Dumas, O 2022, ' Response to : Correspondence on "Association between occupational exposure to irritant agents and a distinct asthma endotype in adults" by Andrianjafimasy et al ', Occupational and Environmental Medicine, vol. 79, no. 5, pp. 359-360 . https://doi.org/10.1136/oemed-2021-108117
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::018f7d70ad0696a3cbc10e048e263170
https://pure.au.dk/portal/da/publications/response-to(e10fa486-90f4-40cb-afca-d61c8fabadbd).html
https://pure.au.dk/portal/da/publications/response-to(e10fa486-90f4-40cb-afca-d61c8fabadbd).html
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.