Nadia Tahiri, Ph.D.
Nadia Tahiri, Ph.D.
Assistant Professor, Department of Computer Science, University of Sherbrooke
Verified email at USherbrooke.ca - Homepage
Title
Cited by
Cited by
Year
A new fast method for inferring multiple consensus trees using k-medoids
N Tahiri, M Willems, V Makarenkov
BMC Evolutionary Biology 18 (48), 12, 2018
132018
A new efficient algorithm for inferring explicit hybridization networks following the Neighbor-Joining principle
M Willems, N Tahiri, V Makarenkov
Journal of bioinformatics and computational biology 12 (05), 1450024, 2014
62014
A novel effective ensemble model for early detection of coronary artery disease
Z Aouabed, M Abdar, N Tahiri, JC Gareau, V Makarenkov
International Conference Europe Middle East & North Africa Information …, 2019
42019
An intelligent shopping list based on the application of partitioning and machine learning algorithms
N Tahiri, B Mazoure, V Makarenkov
SciPy-2019, Austin, Texas, 85-92, 2019
32019
Classification d’arbres phylogénétiques basée sur l’algorithme des k-moyennes
N Tahiri, M Willems, V Makarenkov
Actes de SFC-2014, 2014
32014
A new fast method for detecting and validating horizontal gene transfer events using phylogenetic trees and aggregation functions
D Badescu, N Tahiri, V Makarenkov
Pattern Recognition in Computational Molecular Biology: Techniques and …, 2016
22016
A deep learning approach for building multiple trees classification
N Tahiri
bioRxiv, 781252, 2019
12019
Inférence de super-arbres phylogénétiques multiples en utilisant l’algorithme des k-moyennes
N Tahiri, M Willems, V Makarenkov
Actes de SFC-2015, 2015
12015
DoubleRecViz: a web-based tool for visualizing transcript–gene–species tree reconciliation
E Kuitche, Y Qi, N Tahiri, J Parmer, A Ouangraoua
Bioinformatics 37 (13), 1920-1922, 2021
2021
Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance
N Tahiri, B Fichet, V Makarenkov
arXiv preprint arXiv:2103.13343, 2021
2021
Algorithmes bioinformatiques pour la reconstruction d'arbres consensus et de super-arbres multiples
N Tahiri
Université du Québec à Montréal, 2019
2019
A new clustering method for building multiple trees using deep learning
N Tahiri
bioRxiv, 781252, 2019
2019
Building explicit hybridization networks using the maximum likelihood and Neighbor-Joining approaches
M Willems, N Tahiri, V Makarenkov
Archives of Data Science 4 (1), 17, 2018
2018
STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION
RC de Amorim, N Tahiri, V Makarenkov, B Mirkin, E Fehrman, ...
2017
Algorithmes bioinformatiques pour la reconstruction d’arbres consensus et de super-arbres multiples
N Tahiri
2015
Un nouvel algorithme pour retrouver les relations phylogénétiques entre la distribution géographique des espèces et leurs compositions génétiques
N Tahiri
Université du Québec à Montréal, 2012
2012
A new fast method for building multiple con-sensus trees using k-medoids
N Tahiri, V Makarenkov
Classification des langues Indo-Européennes basée sur un mo-dèle d’identification de transferts horizontaux de gènes
N Tahiri, M Willems, A Boc, V Makarenkov
Séminaire de Bioinformatique le 22 janvier 2019
N Tahiri
A new efficient algorithm for inferring explicit hybridization networks following the Neighbor-Joining principle
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