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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.
Marrouche, W., Farah, R., & Harmanani, H. M. (2018). A Strength Pareto Evolutionary Algorithm for Optimizing System-On-Chip Test Schedules. International Journal of Computational Intelligence and Applications, 17(02), -1850010. External link
Farah, R., Langlois, J. M. P., & Bilodeau, G.-A. (2016). Computing a rodent's diary. Signal, Image and Video Processing, 10(3), 567-574. External link
Bilodeau, G.-A., Desgent, S., Farah, R., Duss, S., Langlois, J. M. P., & Carmant, L. (2015). Body temperature measurement of an animal by tracking in biomedical experiments. Signal Image and Video Processing, 9(2), 251-259. External link
Farah, R., Gan, Q., Langlois, J. M. P., Bilodeau, G.-A., & Savaria, Y. (2014). A computationally efficient importance sampling tracking algorithm. Machine Vision and Applications, 25(7), 1761-1777. External link
Farah, R., Langlois, J. M. P., & Bilodeau, G.-A. (2013). Catching a rat by its edglets. IEEE Transactions on Image Processing, 22(2), 668-678. External link
Marrouche, W., Farah, R., & Harmanani, H. M. (2017, April). A multiobjective optimization method for the SOC test time, TAM, and power optimization using a strength Pareto evolutionary algorithm [Paper]. 14th International Conference on Information Technology: New Generations (ITNG 2017), Las Vegas, Nevada. External link
Farah, R., Belanger, S., Jafari, R., Chevrefils, C., Sylvestre, J.-P., Lesage, F., & Cheriet, F. (2017, July). Retinal vessel segmentation from a hyperspectral camera images [Paper]. Image Analysis and Recognition. 14th International Conference (ICIAR 2017), Montréal, Québec. External link
Gil, D. C., Farah, R., Langlois, J. M. P., Bilodeau, G.-A., & Savaria, Y. (2011, May). Comparative analysis of contrast enhancement algorithms in surveillance imaging [Paper]. IEEE International Symposium of Circuits and Systems (ISCAS 2011), Rio de Janeiro, Brazil. External link
Farah, R., Langlois, J. M. P., & Bilodeau, G.-A. (2011, September). RAT: Robust animal tracking [Paper]. 9th IEEE International Symposium on Robotic and Sensors Environments (ROSE 2011), Montréal, Québec. External link
Farah, R., Gan, Q., Langlois, J. M. P., Bilodeau, G.-A., & Savaria, Y. (2011, December). A tracking algorithm suitable for embedded systems implementation [Paper]. 18th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2011), Beirut, Lebanon. External link
Bilodeau, G.-A., Ghali, R., Desgent, S., Langlois, J. M. P., Farah, R., St-Onge, P.-L., Duss, S., & Carmant, L. (2011, June). Where is the rat? Tracking in low contrast thermographic images [Paper]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2011), Colorado Springs, CO, United states. External link
Farah, R. (2013). Computer Vision Tools for Rodent Monitoring [Ph.D. thesis, École Polytechnique de Montréal]. Available