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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A 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.
Naceur, R., Cimon, Y., & Pellerin, R. (2021). A Systematic Review for Predictive Models of IS Adoption. International Journal of Enterprise Information Systems, 17(1), 1-21. External link
Naceur, R. (2013). Modèles linéaires pour la représentation et l'évaluation des compétences [Master's thesis, École Polytechnique de Montréal]. Available
Desmarais, M. C., & Naceur, R. (2013, July). A matrix factorization method for mapping items to skills and for enhancing expert-based q-matrices [Paper]. 16th International Conference on Artificial Intelligence in Education (AIED 2013), Memphis, TN, United states. External link
Desmarais, M. C., Beheshti, B., & Naceur, R. (2012, June). Item to skills mapping: deriving a conjunctive Q-matrix from data [Paper]. 11th International Conference Intelligent Tutoring Systems (ITS 2012), Chania, Grèce. External link
Desmarais, M. C., Naceur, R., & Beheshti, B. (2012, July). Linear models of student skills for static data [Paper]. 20th Conference on User Modeling Adaptation and Personalization (UMAP 2012), Montréal, Québec. External link
Desmarais, M. C., Beheshti, B., & Naceur, R. (2012, June). Methods to find the number of latent skills [Paper]. 5th International Conference on of Educational Data Mining (EDM 2012), Chania, Grèce. External link