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Nadia Tahiri, Ph.D.
Nadia Tahiri, Ph.D.
Assistant Professor, Department of Computer Science, University of Sherbrooke
Adresse e-mail validée de USherbrooke.ca - Page d'accueil
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Année
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
252018
Quantitative Structure-Activity Relationship (QSAR) modeling to predict the transfer of environmental chemicals across the placenta
L Lévêque, N Tahiri, MR Goldsmith, MA Verner
Computational Toxicology 21, 100211, 2022
102022
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
102019
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
102014
A novel effective ensemble model for early detection of coronary artery disease
Z Aouabed, M Abdar, N Tahiri, J Champagne Gareau, V Makarenkov
Innovation in Information Systems and Technologies to Support Learning …, 2020
82020
Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance
N Tahiri, B Fichet, V Makarenkov
Bioinformatics, 2022
72022
Invariant transformers of Robinson and Foulds distance matrices for Convolutional Neural Network.
N Tahiri, A Veriga, A Koshkarov, B Morozov
Journal of Bioinformatics and Computational Biology, 2250012-2250012, 2022
32022
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
32021
Classification d’arbres phylogénétiques basée sur l’algorithme des k-moyennes
N Tahiri, M Willems, V Makarenkov
Actes de SFC-2014, 2014
32014
Inferring multiple consensus trees and supertrees using clustering: A review
V Makarenkov, GS Barseghyan, N Tahiri
Data Analysis and Optimization: In Honor of Boris Mirkin's 80th Birthday …, 2023
22023
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 …, 2015
22015
A new machine learning workflow to create an optimal waiting list in hospitals
M Moustapha Mbaye, F MH Abu Salem, N Tahiri
Proceedings of the 2023 7th International Conference on Medical and Health …, 2023
12023
Intelligent personalized shoppingrecommendation using clustering andsupervised machine learning algorithms
N Chabane, A Bouaoune, R Tighilt, M Abdar, A Boc, É Lord, N Tahiri, ...
PloS ONE 17 (12), e0278364, 2022
12022
Using Clustering and Machine Learning Methods to Provide Intelligent Grocery Shopping Recommendations
N Chabane, MA Bouaoune, RAS Tighilt, B Mazoure, N Tahiri, ...
Conference of the International Federation of Classification Societies, 83-91, 2022
12022
Phylogeography: Analysis of genetic and climatic data of SARS-CoV-2
A Koshkarov, W Li, ML Luu, N Tahiri
Proceedings of the 21st Python in Science Conference, 159 - 166, 2022
12022
A deep learning approach for building multiple trees classification
N Tahiri
bioRxiv, 781252, 2019
12019
A median-based consensus rule for distance exponent selection in the framework of intelligent and weighted Minkowski clustering
RC de Amorim, N Tahiri, B Mirkin, V Makarenkov
Data Science: Innovative Developments in Data Analysis and Clustering, 97-110, 2017
12017
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
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
12012
A new algorithm for building comprehensive consensus tree
MHR Sifat, N Tahiri
AAAI Graphs and more Complex Structures For Learning and Reasoning (GCLR), 7, 2024
2024
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