| 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 | 123 | 2018 |
| 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 | 89 | 2011 |
| 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 | 83 | 2012 |
| 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 | 72 | 2020 |
| 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), 5247, 2018 | 67 | 2018 |
| 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 | 62 | 2020 |
| 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 | 53 | 2017 |
| 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 (01), 3470-3477, 2019 | 49 | 2019 |
| 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 | 45 | 2012 |
| 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 | 37 | 2011 |
| Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space JC Lévesque, A Durand, C Gagné, R Sabourin Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 35 | 2012 |
| Streaming kernel regression with provably adaptive mean, variance, and regularization A Durand, OA Maillard, J Pineau Journal of Machine Learning Research 19 (17), 1-34, 2018 | 32 | 2018 |
| Old dog learns new tricks: Randomized ucb for bandit problems S Vaswani, A Mehrabian, A Durand, B Kveton arXiv preprint arXiv:1910.04928, 2019 | 30 | 2019 |
| 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 | 27 | 2014 |
| Temporal regularization for markov decision process P Thodoroff, A Durand, J Pineau, D Precup Advances in Neural Information Processing Systems 31, 2018 | 25 | 2018 |
| Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations A Bilodeau, CVL Delmas, M Parent, P De Koninck, A Durand, ... Nature Machine Intelligence 4 (5), 455-466, 2022 | 23 | 2022 |
| 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 | 17 | 2019 |
| Exploring polypharmacy with artificial intelligence: data analysis protocol C Sirois, R Khoury, A Durand, PL Deziel, O Bukhtiyarova, Y Chiu, ... BMC Medical Informatics and Decision Making 21, 1-8, 2021 | 16 | 2021 |
| Predicting visual improvement after macular hole surgery: a combined model using deep learning and clinical features A Lachance, M Godbout, F Antaki, M Hébert, S Bourgault, M Caissie, ... Translational Vision Science & Technology 11 (4), 6-6, 2022 | 15 | 2022 |
| Pharmacists’ perceptions of a machine learning model for the identification of atypical medication orders SC Hogue, F Chen, G Brassard, D Lebel, JF Bussières, A Durand, ... Journal of the American Medical Informatics Association 28 (8), 1712-1718, 2021 | 15 | 2021 |
Christian GagnéProfessor at Université Laval - IID - LVSN - CeRVIM - CRDM - CIFAR - MilaVerified email at gel.ulaval.ca
