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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.
Cantin, M.-A., Savaria, Y., Prodanos, D., & Lavoie, P. (2006). A metric for automatic word-length determination of hardware datapaths. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 25(10), 2228-31. External link
Cantin, M.-A., Savaria, Y., & Lavoie, P. (2002, May). A comparison of automatic word length optimization procedures [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2002), Phoenix-Scottsdale, AZ. External link
Cantin, M.-A., Savaria, Y., Prodanos, D., & Lavoie, P. (2001, May). An automatic word length determination method [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2001), Sydney, NSW, Australia. External link
Cantin, M.-A., Blaquière, Y., Savaria, Y., Lavoie, P., & Granger, É. (2000, May). Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2000), Geneva, Switzerland. External link
Cantin, M.-A., Blaquière, Y., Savaria, Y., Granger, É., & Lavoie, P. (1998, May). Implementation fo the Fuzzy ART neural network for fast clustering of radar pulses [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 1998), Monterey, CA, USA. External link
Della Valle, G., Buleon, A., Carreau, P., Lavoie, P., & Vergnes, B. (1997, October). Relations entre structure et comportement viscoélastique d'amidons plastifiés [Paper]. 32e Colloque Annuel du Groupe Français de Rhéologie, Nantes, France. Published in Cahiers de rhéologie, 15(4). Unavailable
Granger, É., Savaria, Y., & Lavoie, P. (2003). A Pattern Reordering Approach Based on Ambiguity Detection for Online Category Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(4), 524-528. External link
Granger, É., Savaria, Y., Lavoie, P., & Cantin, M. A. (1998). Comparison of Self-Organizing Neural Networks for Fast Clustering of Radar Pulses. Signal Processing, 64(3), 249-269. External link
Granger, É., Savaria, Y., Blaquière, Y., Cantin, M.-A., & Lavoie, P. (1997). A VLSI architecture for fast clustering with fuzzy ART neural networks. Journal of Microelectronic Systems Integration, 5(1), 3-18. Unavailable
Granger, É., Blaquière, Y., Savaria, Y., Cantin, M.-A., & Lavoie, P. (1996, August). VLSI architecture for fast clustering with fuzzy ART neural networks [Paper]. 1st International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing (NICROSP 1996), Venice, Italy. External link
Lavoie, P., Bourgault-Côté, S., & Laurendeau, É. (2018). Numerical algorithms for infinite swept wing ice accretion. Computers & Fluids, 161, 189-198. External link
Lafrance, L.-P., Cantin, M.-A., Savaria, Y., Sung, S. H., & Lavoie, P. (2002, May). Architecture and performance characterization of hardware and software implementations of the Crozier frequency estimation algorithm [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2002), Phoenix-Scottsdale, AZ. External link
Lavoie, P., Crespo, J. F., & Savaria, Y. (1999). Generalization, Discrimination, and Multiple Categorization Using Adaptive Resonance Theory. IEEE Transactions on Neural Networks, 10(4), 757-767. External link
Lavoie, P., Crespo, J. F., & Savaria, Y. (1997, June). Multiple categorization using fuzzy ART [Paper]. IEEE International Conference on Neural Networks (ICNN 1997), Houston, TX, USA. External link
Lavoie, P., Crespo, J.-F., & Savaria, Y. (1996, January). On the stability of Fuzzy ART [Paper]. 18th Biennal Symposium on Communications, Kingston. Unavailable
Lavoie, P., Haccoun, D., & Savaria, Y. (1994). Systolic architecture for fast stack sequential decoders. IEEE Transactions on Communications, 42(2/3/4, pt.), 324-335. External link