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 | 26 | 2018 |
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 | 10 | 2022 |
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 | 10 | 2019 |
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 | 10 | 2014 |
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 | 8 | 2020 |
Building alternative consensus trees and supertrees using k-means and Robinson and Foulds distance N Tahiri, B Fichet, V Makarenkov Bioinformatics, 2022 | 7 | 2022 |
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 | 3 | 2022 |
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 | 3 | 2021 |
Classification d’arbres phylogénétiques basée sur l’algorithme des k-moyennes N Tahiri, M Willems, V Makarenkov Actes de SFC-2014, 2014 | 3 | 2014 |
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 | 2 | 2023 |
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 | 2 | 2015 |
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 | 1 | 2023 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2022 |
A deep learning approach for building multiple trees classification N Tahiri bioRxiv, 781252, 2019 | 1 | 2019 |
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 | 1 | 2017 |
Inférence de super-arbres phylogénétiques multiples en utilisant l’algorithme des k-moyennes N Tahiri, M Willems, V Makarenkov Actes de SFC-2015, 2015 | 1 | 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 | 1 | 2012 |
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 |