 | Up a level |
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.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
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.
Bourdin, M., Neumann, A., Paviot, T., Pellerin, R., & Lamouri, S. (2025). A Framework for Selecting the Optimal NLP Solution for Classification Tasks in Industry 4.0 Based on Data and Business Constraints. IFAC-PapersOnLine, 59(10), 1850-1855. Presented at 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2025), Trondheim, Norway. External link
Bourdin, M., Paviot, T., Pellerin, R., & Lamouri, S. (2023, November). NLP in SMEs for industry 4.0: opportunities and challenges [Paper]. 2023 International Conference on Enterprise Information Systems (CENTERIS 2023), Porto, Portugal. Published in Procedia Computer Science, 239. Available
Bourdin, M., Neumann, A., Paviot, T., Pellerin, R., & Lamouri, S. (2024). Exploring the applications of natural language processing and language models for production, planning, and control activities of SMEs in industry 4.0: a systematic literature review. Journal of Intelligent Manufacturing, 21 pages. External link
Satler, L., Lamouri, S., Pellerin, R., Paviot, T., Deneux, D., & Maigne, T. (2021, January). A survey about BIM interoperability and collaboration between design and construction [Paper]. SOHOMA Latin America 2020, Bogota, Colombia. External link
