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Belbahri, M., Murua, A., Gandouet, O., & Partovi Nia, V. (2021). Qini-based uplift regression. Annals of Applied Statistics, 15(3), 1247-1272. Lien externe
Davtalab-Olyaie, M., Roshdi, I., Partovi Nia, V., & Asgharian, M. (2015). On characterizing full dimensional weak facets in DEA with variable returns to scale technology. Optimization, 64(11), 2455-2476. Lien externe
Drikvandi, R., Verbeke, G., Khodadadi, A., & Partovi Nia, V. (2013). Testing Multiple Variance Components in Linear Mixed-Effects Models. Biostatistics, 14(1), 144-159. Lien externe
Ghaemi, M. S., DiGiulio, D. B., Contrepois, K., Callahan, B., Ngo, T. T. M., Lee-McMullen, B., Lehallier, B., Robaczewska, A., McIlwain, D., Rosenberg-Hasson, Y., Wong, R. J., Quaintance, C., Culos, A., Stanley, N., Tanada, A., Tsai, A., Gaudilliere, D., Ganio, E., Han, X., ... Aghaeepour, N. (2019). Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinformatics, 35(1), 95-103. Disponible
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (mai 2015). Challenges in spatial-temporal data analysis targeting public transport [Communication écrite]. 15th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2015), Ottawa, Ontario. Publié dans IFAC-PapersOnLine, 48(3). Lien externe
Ghaemi, M.-S., Agard, B., Partovi Nia, V., & Trépanier, M. (juillet 2015). Identifying Spatial-Temporal Users Behaviour through Smart Card Data [Communication écrite]. 13th Conference on Advanced Systems in Public Transport (CASPT 2015), Rotterdam, Netherlands. Lien externe
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (juillet 2015). Identifying temporal user behavior through smart card data [Communication écrite]. 13th Conference on Advanced Systems in Public Transport (CASPT 2015), Rotterdam, Pays-Bas. Non disponible
Ghaemi, M.-S., Agard, B., Trépanier, M., & Partovi Nia, V. (mai 2014). Computational Complexity in Hierarchical Clustering Algorithms [Communication écrite]. SSC Meeting 2014, University of Toronto, Ontario. Non disponible
Ghaemi, M.-S., Agard, B., Trépanier, M., & Partovi Nia, V. (mai 2014). Predicting Behavioral Patterns of Users from Smart Card Data in The Public Transportation Domain [Communication écrite]. Conférence annuelle du CIRRELT, Université Laval, Québec. Non disponible
Homaie-Shandizi, A.-H., Partovi Nia, V., Gamache, M., & Agard, B. (2016). Flight deck crew reserve: From data to forecasting. Engineering Applications of Artificial Intelligence, 50, 106-114. Lien externe
Kijko, G., Margni, M., Partovi Nia, V., Doudrich, G., & Jolliet, O. (2015). Impact of Occupational Exposure to Chemicals in Life Cycle Assessment: A Novel Characterization Model Based on Measured Concentrations and Labor Hours. Environmental Science and Technology, 49(14), 8741-8750. Lien externe
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2018). Automatic odor prediction for electronic nose. Journal of Applied Statistics, 45(15), 2788-2799. Lien externe
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (février 2016). An online data validation algorithm for electronic nose [Communication écrite]. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy. Lien externe
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (février 2016). Statistical measurement validation with application to electronic nose technology [Communication écrite]. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy. Lien externe
Mouret, G., Brault, J.-J., & Partovi Nia, V. (août 2013). Generalized elastic net regression [Communication écrite]. Joint Statistical Meetings - Section on Statistical Learning and Data Mining, Montréal, Québec. Lien externe
Partovi Nia, V., Xin-lin, L.I., Asgharian, M., & Hu, S. (2022). A causal direction test for heterogeneous populations. Machine learning with applications, 7, 100235 (8 pages). Disponible
Pour, M. B., Partovi Nia, V., & Pellerin, R. (mars 2020). Application of Statistical Learning in Ferro-Titanium Industry [Communication écrite]. Future of Information and Communication Conference (FICC 2020), San Francisco, Calif.. Lien externe
Partovi Nia, V., & Davison, A. C. (2015). A simple model-based approach to variable selection in classification and clustering. Canadian Journal of Statistics, 43(2), 157-175. Lien externe
Partovi Nia, V., Asgharian, M., & Bassetto, S. (août 2013). A format test for binary R&R measurement systems [Communication écrite]. Joint Statistical Meetings, SCC Section, Montréal, Québec. Lien externe
Partovi Nia, V., & Davison, A. C. (2012). High-dimensional bayesian clustering with variable selection: The R package bclust. Journal of Statistical Software, 47(5), 22 pages. Disponible
Partovi Nia, V., & Stephens, D. A. (2011). Dendrogram representation of stochastic clustering. Dans Probability: interpretation, theory and applications (p. 203-217). Non disponible
Tilouche, S., Partovi Nia, V., & Bassetto, S. (2021). Parallel coordinate order for high-dimensional data. Statistical Analysis and Data Mining, 14(5), 501-515. Lien externe
Tilouche, S., Bassetto, S., & Partovi Nia, V. (septembre 2014). Classification algorithms for virtual metrology [Communication écrite]. IEEE International Conference on Management of Innovation and Technology (ICMIT 2014), Singapore, Singapore. Lien externe
Trépanier, M., Agard, B., & Partovi Nia, V. (juillet 2013). Assessing public transport travel behaviour from smart card data with advanced data mining technique [Communication écrite]. 13th World Conference on Transportation Research, Rio de Janeiro, Brézil. Non disponible