Main area of research
Natural language & AI
I joined Nuance in 2012, working on improving the accuracy of systems performing natural language processing. As previous experience, I worked for a couple of years as a software engineer at Matrox and Nortel Networks after graduating as an electrical engineer from Ecole Polytechnique de Montreal. I then used my engineering skills during my Ph.D. studies at McGill University. I developed computational models of cognition (i.e., computer simulations of brain processes), namely learning and problem solving. In a post-doc at the CNRS in France, I developed models of visual word recognition (i.e., reading). More recently, I was a research engineer in a small startup company where I designed algorithms to extract information used to identify levels of stress from biometric signals.
Fetter P., Dandurand F., & Regel-Brietzmann P. (1996). Word graph rescoring using confidence measures.In the Proceedings of the Fourth International Conference on Spoken Language Processing (ICSLP ’96)(Vol. …
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Dandurand, F., Cousineau, D., & Shultz, T. R. (2012). Solving nonogram puzzles by reinforcement learning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of …
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Dandurand F., & Lowther D. A. (1999). Electromagnetic device performance identification using knowledge based neural networks. IEEE Transactions on Magnetics, 35(3), 1817-1820.
Dandurand, F., Berthiaume, V., & Shultz, T. R. (2007). A systematic comparison of flat and standard cascade-correlation using a student-teacher network approximation task. Connection Science, 19(3), 223-244. …
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Dandurand, F., Shultz, T. R., & Onishi, K. H. (2008). Comparing online and lab methods in a problem-solving experiment. Behavior Research Methods, 40(2), 428-434. Online experiments …
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