Iain Carmichael

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 5

Top Topics

Learning Models

Top Venues

J. Mach. Learn. Res.

J. Comput. Graph. Stat.

Publications

Xi Yang, Jan Hannig, Katherine A. Hoadley, Iain Carmichael, J. S. Marron
Measure of Strength of Evidence for Visually Observed Differences between Subpopulations. J. Comput. Graph. Stat. 33 (2) (2024)
Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. MICCAI (2) (2022)
Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. CoRR (2022)
Ronan Perry, Gavin Mischler, Richard Guo, Theo Lee, Alexander Chang, Arman Koul, Cameron Franz, Hugo Richard, Iain Carmichael, Pierre Ablin, Alexandre Gramfort, Joshua T. Vogelstein
mvlearn: Multiview Machine Learning in Python. J. Mach. Learn. Res. 22 (2021)
Iain Carmichael, J. S. Marron
Geometric Insights into Support Vector Machine Behavior using the KKT Conditions. CoRR (2017)