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Vianna, P., Calce, S.-I., Boustros, P., Larocque-Rigney, C., Patry-Beaudoin, L., Luo, Y. H., Aslan, E., Marinos, J., Alamri, T. M., Vu, K.-N., Murphy-Lavallée, J., Billiard, J.-S., Montagnon, E., Li, H., Kadoury, S., Nguyen, B. N., Gauthier, S., Therien, B., Rish, I., ... Tang, A. (2023). Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis. Radiology, 309(1), e230659 (10 pages). Lien externe
Bengio, Y., Gupta, P., Maharaj, T., Rahaman, N., Weiss, M., Deleu, T., Muller, E., Qu, M., Schmidt, V., St-Charles, P.-L., Alsdurf, H., Bilanuik, O., Buckeridge, D., Caron, G. M., Carrier, P.-L., Ghosn, J., Ortiz-Gagne, S., Pal, C., Rish, I., ... Williams, A. (mai 2021). Predicting infectiousness for proactive contact tracing [Communication écrite]. 9th International Conference on Learning Representations (ICLR 2021), Vienne, Austria. Non disponible
Laleh, T., Faramarzi, M., Rish, I., & Anbil Parthipan, S. C. (juillet 2020). Chaotic continual learning [Communication écrite]. 37th International Conference on Machine Learning (PMLR 2020), Vienna, Austria (6 pages). Lien externe
