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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
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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.
Daras, G., Agard, B., Cambazard, H., & Penz, B. (2015, May). Development of business spatial analysis tools: Methodology and framework [Paper]. 15th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2015), Ottawa, Ontario. Published in IFAC-PapersOnLine, 48(3). External link
Daras, G., Agard, B., Penz, B., & Cambazard, H. (2015, October). Développement d'outils d'analyse géo-spatiale pour la vente et la distribution : Méthodologie et plateforme [Paper]. 11e Congrès international de génie industriel (CIGI 2015), Québec, Canada. External link
Malapert, A., Gueret, C., Cambazard, H., Jussien, N., Langevin, A., & Rousseau, L.-M. (2013, June). An optimal constraint programming approach to the open-shop problem [Paper]. 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013), Rome, Italy. Published in Proceedings of the International Conference on Automated Planning and Scheduling, 23. External link
Malapert, A., Cambazard, H., Gueret, C., Jussien, N., Langevin, A., & Rousseau, L.-M. (2012). Optimal Constraint Programming Approach to the Open-Shop Problem. INFORMS Journal on Computing, 24(2), 228-244. External link
Malapert, A., Cambazard, H., Guéret, C., Jussien, N., Langevin, A., & Rousseau, L.-M. (2009). Constraint Programming Approach to the Open-Shop Problem. (Technical Report n° CIRRELT-2009-25). External link
Pommerening, F., Roger, G., Helmert, M., Cambazard, H., Rousseau, L.-M., & Salvagnin, D. (2021, January). Lagrangian decomposition for classical planning (extended abstract) [Paper]. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan. External link
Pommerening, F., Röger, G., Helmert, M., Cambazard, H., Rousseau, L.-M., & Salvagnin, D. (2019, July). Lagrangian decomposition for optimal cost partitioning [Paper]. 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA. Published in Proceedings of the International Conference on Automated Planning and Scheduling, 29. External link