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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Allaire, N., Ghazvini Nejad, M., Le Digabel, S., & Partovi Nia, V. (2025, February). Zeroth Order Optimization for Pretraining Language Models [Paper]. 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2025), Porto, Portugal. Published in Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods - ICPRAM, 1. External link
Belbahri, M., Murua, A., Gandouet, O., & Partovi Nia, V. (2021). Qini-based uplift regression. Annals of Applied Statistics, 15(3), 1247-1272. External link
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. External link
Drikvandi, R., Verbeke, G., Khodadadi, A., & Partovi Nia, V. (2013). Testing Multiple Variance Components in Linear Mixed-Effects Models. Biostatistics, 14(1), 144-159. External link
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. Available
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015). Challenges in spatial-temporal data analysis targeting public transport. (Technical Report n° G-2015-13). External link
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015, May). Challenges in spatial-temporal data analysis targeting public transport [Paper]. 15th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2015), Ottawa, Ontario. Published in IFAC-PapersOnLine, 48(3). External link
Ghaemi, M.-S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015, July). Identifying Spatial-Temporal Users Behaviour through Smart Card Data [Paper]. 13th Conference on Advanced Systems in Public Transport (CASPT 2015), Rotterdam, Netherlands. External link
Ghaemi, M. S., Agard, B., Partovi Nia, V., & Trépanier, M. (2015, July). Identifying temporal user behavior through smart card data [Paper]. 13th Conference on Advanced Systems in Public Transport (CASPT 2015), Rotterdam, Pays-Bas. Unavailable
Ghaemi, M.-S., Agard, B., Trépanier, M., & Partovi Nia, V. (2014, May). Computational Complexity in Hierarchical Clustering Algorithms [Paper]. SSC Meeting 2014, University of Toronto, Ontario. Unavailable
Ghaemi, M.-S., Agard, B., Trépanier, M., & Partovi Nia, V. (2014, May). Predicting Behavioral Patterns of Users from Smart Card Data in The Public Transportation Domain [Paper]. Conférence annuelle du CIRRELT, Université Laval, Québec. Unavailable
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. External link
Homaie-Shandizi, A.-H., Partovi Nia, V., Gamache, M., & Agard, B. (2015). Flight deck crew absenteeism: From data to forecasting. (Technical Report n° G-2015-108). External link
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. External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2018). Automatic odor prediction for electronic nose. Journal of Applied Statistics, 45(15), 2788-2799. External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016, February). An online data validation algorithm for electronic nose [Paper]. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy. External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016). Automatic odor prediction for electronic nose. (Technical Report n° G-2016-86). External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016). Self-assessed electronic nose. (Technical Report n° G-2016-28). External link
Mirshahi, M., Partovi Nia, V., & Adjengue, L. (2016, February). Statistical measurement validation with application to electronic nose technology [Paper]. 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy. External link
Mouret, G., Brault, J.-J., & Partovi Nia, V. (2013, August). Generalized elastic net regression [Paper]. Joint Statistical Meetings - Section on Statistical Learning and Data Mining, Montréal, Québec. External link
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). Available
Pour, M. B., Partovi Nia, V., & Pellerin, R. (2020, March). Application of Statistical Learning in Ferro-Titanium Industry [Paper]. Future of Information and Communication Conference (FICC 2020), San Francisco, Calif.. External link
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. External link
Partovi Nia, V., Asgharian, M., & Bassetto, S. (2013, August). A format test for binary R&R measurement systems [Paper]. Joint Statistical Meetings, SCC Section, Montréal, Québec. External link
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. Available
Partovi Nia, V., & Stephens, D. A. (2011). Dendrogram representation of stochastic clustering. In Probability: interpretation, theory and applications (pp. 203-217). Unavailable
Tilouche, S., Partovi Nia, V., & Bassetto, S. (2021). Parallel coordinate order for high-dimensional data. Statistical Analysis and Data Mining, 14(5), 501-515. External link
Tilouche, S., Bassetto, S., & Partovi Nia, V. (2014, September). Classification algorithms for virtual metrology [Paper]. IEEE International Conference on Management of Innovation and Technology (ICMIT 2014), Singapore, Singapore. External link
Trépanier, M., Agard, B., & Partovi Nia, V. (2013, July). Assessing public transport travel behaviour from smart card data with advanced data mining technique [Paper]. 13th World Conference on Transportation Research, Rio de Janeiro, Brézil. Unavailable
