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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
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
