N-BEATS: Neural basis expansion analysis for interpretable time series forecasting BN Oreshkin, D Carpov, N Chapados, Y Bengio arXiv preprint arXiv:1905.10437, 2019 | 1074 | 2019 |
Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model MF Byrne, N Chapados, F Soudan, C Oertel, ML Pérez, R Kelly, N Iqbal, ... Gut 68 (1), 94-100, 2019 | 589 | 2019 |
Hemis: Hetero-modal image segmentation M Havaei, N Guizard, N Chapados, Y Bengio Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 284 | 2016 |
Method and apparatus for discourse management N Chapados, PR Stubley, C Pateras, RR Tremblay US Patent 6,356,869, 2002 | 152 | 2002 |
Meta-learning framework with applications to zero-shot time-series forecasting BN Oreshkin, D Carpov, N Chapados, Y Bengio Proceedings of the AAAI conference on artificial intelligence 35 (10), 9242-9250, 2021 | 93 | 2021 |
Learning to learn with conditional class dependencies X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin international conference on learning representations, 2019 | 93 | 2019 |
Cost functions and model combination for VaR-based asset allocation using neural networks N Chapados, Y Bengio IEEE Transactions on Neural Networks 12 (4), 890-906, 2001 | 72 | 2001 |
Effective Bayesian modeling of groups of related count time series N Chapados International conference on machine learning, 1395-1403, 2014 | 60 | 2014 |
Extensions to metric based model selection Y Bengio, N Chapados The Journal of Machine Learning Research 3, 1209-1227, 2003 | 60 | 2003 |
Starcoder 2 and the stack v2: The next generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 49 | 2024 |
CASED: curriculum adaptive sampling for extreme data imbalance A Jesson, N Guizard, SH Ghalehjegh, D Goblot, F Soudan, N Chapados International conference on medical image computing and computer-assisted …, 2017 | 45 | 2017 |
Retail store scheduling for profit N Chapados, M Joliveau, P L’Ecuyer, LM Rousseau European Journal of Operational Research 239 (3), 609-624, 2014 | 45 | 2014 |
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. arXiv 2019 BN Oreshkin, D Carpov, N Chapados, Y Bengio arXiv preprint arXiv:1905.10437, 2019 | 44 | 2019 |
Estimating car insurance premia: A case study in high-dimensional data inference N Chapados, Y Bengio, P Vincent, J Ghosn, C Dugas, I Takeuchi, L Meng Advances in Neural Information Processing Systems 14, 2001 | 42 | 2001 |
Statistical learning algorithms applied to automobile insurance ratemaking C Dugas, Y Bengio, N Chapados, P Vincent, G Denoncourt, C Fournier CAS Forum 1 (1), 179-214, 2003 | 38 | 2003 |
Lag-llama: Towards foundation models for time series forecasting K Rasul, A Ashok, AR Williams, A Khorasani, G Adamopoulos, ... arXiv preprint arXiv:2310.08278, 2023 | 36 | 2023 |
Tactis: Transformer-attentional copulas for time series A Drouin, É Marcotte, N Chapados International Conference on Machine Learning, 5447-5493, 2022 | 35 | 2022 |
Portfolio choice problems: An introductory survey of single and multiperiod models N Chapados Springer Science & Business Media, 2011 | 34 | 2011 |
Augmented functional time series representation and forecasting with Gaussian processes N Chapados, Y Bengio Advances in neural information processing systems 20, 2007 | 31 | 2007 |
A mixed-initiative natural dialogue system for conference room reservation. C Pateras, N Chapados, R Kwan, D Lavoie, R Tremblay EUROSPEECH, 1275-1278, 1999 | 27 | 1999 |