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Collaboration networkThis 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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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Priem, R., Diouane, Y., Bartoli, N., Dubreuil, S., & Saves, P. (2024). High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings. AIAA Journal, 1-13. External link
Priem, R., Bartoli, N., Diouane, Y., Dubreuil, S., & Saves, P. (2023, June). High-dimensional efficient global optimization using both random and supervised embeddings [Paper]. AIAA AVIATION 2023 Forum, San Diego, CA, USA. External link
Priem, R., Gagnon, H., Chittick, I., Dufresne, S., Diouane, Y., & Bartoli, N. (2020, June). An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design [Paper]. Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION 2020 FORUM). External link
Priem, R., Bartoli, N., Diouane, Y., & Sgueglia, A. (2020). Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design. Aerospace Science and Technology, 105, 105980 (24 pages). External link
Priem, R., Bartoli, N., & Diouane, Y. (2019, June). On the Use of Upper Trust Bounds in Constrained Bayesian Optimization Infill Criteria [Paper]. Multidisciplinary Analysis and Optimization Conference (AIAA Aviation 2019 Forum), Dallas, TX, USA. External link
