Audrey Durand
Audrey Durand
Assistant Professor, Université Laval, Canada
Adresse e-mail validée de ift.ulaval.ca - Page d'accueil
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Rapid testing versus karyotyping in Down's syndrome screening: cost-effectiveness and detection of clinically significant chromosome abnormalities
J Gekas, DG van den Berg, A Durand, M Vallée, HIJ Wildschut, E Bujold, ...
European Journal of Human Genetics 19 (1), 3-9, 2011
642011
Bayesian classification and unsupervised learning for isolating weeds in row crops
FM De Rainville, A Durand, FA Fortin, K Tanguy, X Maldague, B Panneton, ...
Pattern Analysis & Applications, 1-14, 2012
492012
Cost-effectiveness and accuracy of prenatal Down syndrome screening strategies: should the combined test continue to be widely used?
J Gekas, A Durand, E Bujold, M Vallée, JC Forest, F Rousseau, ...
American journal of obstetrics and gynecology 204 (2), 175. e1-175. e8, 2011
342011
An economic evaluation: Simulation of the cost/effectiveness and cost/utility of universal prevention strategies against osteoporosis‐related fractures
L Nshimyumukiza, A Durand, M Gagnon, X Douville, S Morin, C Lindsay, ...
Journal of Bone and Mineral Research 28 (2), 383-394, 2012
282012
Bayesian optimization for conditional hyperparameter spaces
JC Lévesque, A Durand, C Gagné, R Sabourin
2017 International Joint Conference on Neural Networks (IJCNN), 286-293, 2017
212017
Streaming kernel regression with provably adaptive mean, variance, and regularization
A Durand, OA Maillard, J Pineau
The Journal of Machine Learning Research 19 (1), 650-683, 2018
192018
Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space
JC Levesque, A Durand, C Gagne, R Sabourin
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
192012
Thompson Sampling for Combinatorial Bandits and its Application to Online Feature Selection
A Durand, C Gagné
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 6-9, 2014
172014
A machine learning approach for online automated optimization of super-resolution optical microscopy
A Durand, T Wiesner, MA Gardner, LÉ Robitaille, A Bilodeau, C Gagné, ...
Nature communications 9 (1), 1-16, 2018
152018
Contextual bandits for adapting treatment in a mouse model of de novo carcinogenesis
A Durand, C Achilleos, D Iacovides, K Strati, GD Mitsis, J Pineau
Machine Learning for Healthcare Conference, 67-82, 2018
142018
On-line Adaptative Curriculum Learning for GANs
T Doan, J Monteiro, I Albuquerque, B Mazoure, A Durand, J Pineau, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3470-3477, 2019
122019
Temporal regularization for Markov decision process
P Thodoroff, A Durand, J Pineau, D Precup
Advances in Neural Information Processing Systems, 1779-1789, 2018
112018
SCHNAPS: a generic population-based simulator for public health purposes
A Durand, C Gagné, MA Gardner, F Rousseau, Y Giguere, D Reinharz
Proceedings of the 2010 Summer Computer Simulation Conference, 182-189, 2010
112010
Leveraging exploration in off-policy algorithms via normalizing flows
B Mazoure, T Doan, A Durand, J Pineau, RD Hjelm
Conference on Robot Learning, 430-444, 2020
92020
Population-Based Simulation for Public Health: Generic Software Infrastructure and Its Application to Osteoporosis
A Durand, C Gagné, L Nshimyumukiza, M Gagnon, F Rousseau, ...
IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and …, 2012
92012
Adaptive treatment allocation using sub-sampled gaussian processes
A Durand, J Pineau
2015 AAAI Fall Symposium Series, 2015
52015
Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study
V Forgetta, J Keller-Baruch, M Forest, A Durand, S Bhatnagar, JP Kemp, ...
PLoS medicine 17 (7), e1003152, 2020
42020
Attraction-repulsion actor-critic for continuous control reinforcement learning
T Doan, B Mazoure, M Abdar, A Durand, J Pineau, RD Hjelm
arXiv preprint arXiv:1909.07543, 2019
42019
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
S Vaswani, A Mehrabian, A Durand, B Kveton
arXiv preprint arXiv:1910.04928, 2019
32019
Machine learning to predict osteoporotic fracture risk from genotypes
V Forgetta, J Keller-Baruch, M Forest, A Durand, S Bhatnagar, J Kemp, ...
bioRxiv, 413716, 2018
32018
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