Multiple instance learning for sequence data : Application on bacterial ionizing radiation resistance prediction. (Apprentissage multi-instance des données de séquences : Application à la prédiction de la radio- résistance chez les bactéries).
M. Zoghlami. University of Clermont Auvergne, Clermont-Ferrand, France, (2019)
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%0 Thesis
%1 phd/hal/Zoghlami19
%A Zoghlami, Manel
%D 2019
%K dblp
%T Multiple instance learning for sequence data : Application on bacterial ionizing radiation resistance prediction. (Apprentissage multi-instance des données de séquences : Application à la prédiction de la radio- résistance chez les bactéries).
@phdthesis{phd/hal/Zoghlami19,
added-at = {2020-07-21T00:00:00.000+0200},
author = {Zoghlami, Manel},
biburl = {https://www.bibsonomy.org/bibtex/258682888575be62f5bf92efe9e25dc14/dblp},
ee = {https://tel.archives-ouvertes.fr/tel-02611719},
interhash = {b27a7923001eececadf38bbe8af1c735},
intrahash = {58682888575be62f5bf92efe9e25dc14},
keywords = {dblp},
school = {University of Clermont Auvergne, Clermont-Ferrand, France},
timestamp = {2020-07-24T00:55:11.000+0200},
title = {Multiple instance learning for sequence data : Application on bacterial ionizing radiation resistance prediction. (Apprentissage multi-instance des données de séquences : Application à la prédiction de la radio- résistance chez les bactéries).},
year = 2019
}