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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.
Busard, S., Cappart, Q., Limbrée, C., Pecheur, C., & Schaus, P. (2015, June). Verification of railway interlocking systems [Paper]. 4th International Workshop on Engineering Safety and Security Systems, Oslo, Norway. External link
Cappart, Q., Thomas, C., Schaus, P., & Rousseau, L.-M. (2018, August). A constraint programming approach for solving patient transportation problems [Paper]. 24th International Conference on the Principles and Practice of Constraint Programming (CP 2018), Lille, France. External link
Cappart, Q., Aoga, J. O. R., & Schaus, P. (2018, June). EpisodeSupport: A Global Constraint for Mining Frequent Patterns in a Long Sequence of Events [Paper]. 15th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018), Delft, The Netherlands. External link
Cappart, Q., & Schaus, P. (2017, June). Rescheduling Railway Traffic on Real Time Situations Using Time-Interval Variables [Paper]. 14th International Conference on Integration of AI and OR Techniques in Constraint Programming (CPAIOR 2017), Padua, Italy. External link
Cappart, Q., Limbrée, C., Schaus, P., Quilbeuf, J., Traonouez, L.-M., & Legay, A. (2017, January). Verification of Interlocking Systems Using Statistical Model Checking [Paper]. 18th IEEE International Symposium on High Assurance Systems Engineering (HASE 2017), Singapore. External link
Cappart, Q., & Schaus, P. (2016, September). A Dedicated Algorithm for Verification of Interlocking Systems [Paper]. 35th International Conference on Computer Safety, Reliability, and Security (SAFECOMP 2016), Trondheim, Norway. External link
Cappart, Q., Limbrée, C., Schaus, P., & Legay, A. (2015, October). Verification by discrete simulation of interlocking systems [Paper]. 29th European Simulation and Modelling Conference, Leicester, United Kingdom. External link
Thomas, C., Cappart, Q., Schaus, P., & Rousseau, L.-M. (2019, June). Une approche de programmation par contraintes pour résoudre le problème de transport de patients [A constraint programming approach for solving patient transportation problems]. [Paper]. 15es Journées Francophones de Programmation par Contraintes (JFPC 2019), Albi, France. External link
Verhaeghe, H., Nijssen, S., Pesant, G., Quimper, C.-G., & Schaus, P. (2021, June). Learning Optimal Decision Trees using Constraint Programming [Paper]. 16th French-Speaking Conference on Constraint Programming (JFPC 2021). Unavailable
Verhaeghe, H., Nijssen, S., Pesant, G., Quimper, C.-G., & Schaus, P. (2020). Learning optimal decision trees using constraint programming. Constraints, 25(3-4), 226-250. External link
Verhaeghe, H., Nijssen, S., Pesant, G., Quimper, C.-G., & Schaus, P. (2021, January). Learning optimal decision trees using constraint programming (extended abstract) [Paper]. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan. External link
