Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tatiana Kempowsky-Hamon"'
Publikováno v:
Repositorio UdeA
Universidad de Antioquia
instacron:Universidad de Antioquia
Universidad de Antioquia
instacron:Universidad de Antioquia
RESUMEN: Este artículo presenta una metodología para predecir estados funcionales en procesos complejos a partir de la estimación de grados de pertenencia difusos. La propuesta integra una medida estática como es el resultado de un clasificador d
Autor:
Carine Valle, Tatiana Kempowsky-Hamon, Jean-Marie François, Gilles Favre, Delphine Labourdette, Sophie Lamarre, Magali Lacroix-Triki, Marie-Véronique Le Lann, Loubna Mhamdi, Lidwine Trouilh, Lyamine Hedjazi, Thomas Filleron, Florence Dalenc, Véronique Anton-Leberre, Laurence Roger
Publikováno v:
BMC Medical Genomics
BMC Medical Genomics, BioMed Central, 2015, 8 (3), ⟨10.1186/s12920-015-0077-1⟩
BMC Medical Genomics, BioMed Central, 2015, 8 (1)
BMC Medical Genomics, 2015, 8 (3), ⟨10.1186/s12920-015-0077-1⟩
BMC Medical Genomics (8), . (2015)
BMC Medical Genomics, BioMed Central, 2015, 8 (3), ⟨10.1186/s12920-015-0077-1⟩
BMC Medical Genomics, BioMed Central, 2015, 8 (1)
BMC Medical Genomics, 2015, 8 (3), ⟨10.1186/s12920-015-0077-1⟩
BMC Medical Genomics (8), . (2015)
Background Personalized medicine has become a priority in breast cancer patient management. In addition to the routinely used clinicopathological characteristics, clinicians will have to face an increasing amount of data derived from tumor molecular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e97bfbc1d19f2d0801718819c9c5254
https://hal.archives-ouvertes.fr/hal-01849444/file/document.pdf
https://hal.archives-ouvertes.fr/hal-01849444/file/document.pdf
Publikováno v:
Information Sciences
Information Sciences, Elsevier, 2015, 322, pp.174-196. ⟨10.1016/j.ins.2015.06.007⟩
Information Sciences, 2015, 322, pp.174-196. ⟨10.1016/j.ins.2015.06.007⟩
Information Sciences, Elsevier, 2015, 322, pp.174-196. ⟨10.1016/j.ins.2015.06.007⟩
Information Sciences, 2015, 322, pp.174-196. ⟨10.1016/j.ins.2015.06.007⟩
Definition of membership-margin based objective function.Weighting the antecedents of fuzzy if-then rules to improve classification performance.Evaluate the feature importance within membership-margin framework.Feature selection algorithm for mixed-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::527a6a7568aee50a7cdebbf08ecdf013
https://hal.archives-ouvertes.fr/hal-01998674
https://hal.archives-ouvertes.fr/hal-01998674
Publikováno v:
IFAC Proceedings Volumes. 42:1132-1137
Process diagnosis can be defined as the identification of the system's functional states. When a mathematical model is difficult or not possible to obtain (which is generally the case for complex chemical processes), knowledge on the process behaviou
Autor:
Tatiana Kempowsky-Hamon, Lyamine Hedjazi, Marie-Véronique Le Lann, Laurène Despenes, Joseph Aguilar-Martin, Sébastien Elgue
Publikováno v:
CDC
Process monitoring and fault diagnosis are of great importance for operation safety and efficiency of complex industrial plants. The present article proposes a novel methodology to address the sensor location problem for fault detection. Firstly, all
Autor:
Lyamine Hedjazi, Joseph Aguilar-Martin, Tatiana Kempowsky-Hamon, Gilles Favre, M. Lacroix, M.V. Le Lann, Florence Dalenc
Publikováno v:
Bulletin du Cancer. 97:S46-S47