Oluwasanmi Oluseye Koyejo

Christensen, S., Kim, J., Chia, N., Koyejo, O., & El-Kebir, M. (2020). Detecting evolutionary patterns of cancers using consensus trees. Bioinformatics (Oxford, England), 36(Supplement_2), i684-i691. https://doi.org/10.1093/bioinformatics/btaa801

Hiranandani, G., Boodaghians, S., Mehta, R., & Koyejo, O. (2020). Performance metric elicitation from pairwise classifier comparisons. Paper presented at 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, Naha, Japan.

Khanna, R., Kim, B., Ghosh, J., & Koyejo, O. (2020). Interpreting black box predictions using fisher kernels. Paper presented at 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, Naha, Japan.

Liu, R., Subakan, C., Balwani, A. H., Whitesell, J., Harris, J., Koyejo, S., & Dyer, E. L. (2020). A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu, & L. Joskowicz (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings (pp. 257-266). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12265 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59722-1_25

Xie, C., Koyejo, O., & Gupta, I. (2020). SLSGD: Secure and Efficient Distributed On-device Machine Learning. In U. Brefeld, E. Fromont, A. Hotho, A. Knobbe, M. Maathuis, & C. Robardet (Eds.), Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings (pp. 213-228). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11907 LNAI). Springer. https://doi.org/10.1007/978-3-030-46147-8_13

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