Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Assaad, Serge"'
Rotation equivariance is a desirable property in many practical applications such as motion forecasting and 3D perception, where it can offer benefits like sample efficiency, better generalization, and robustness to input perturbations. Vector Neuron
Externí odkaz:
http://arxiv.org/abs/2206.04176
We examine interval estimation of the effect of a treatment T on an outcome Y given the existence of an unobserved confounder U. Using H\"older's inequality, we derive a set of bounds on the confounding bias |E[Y|T=t]-E[Y|do(T=t)]| based on the degre
Externí odkaz:
http://arxiv.org/abs/2107.04661
Autor:
Assaad, Serge, Zeng, Shuxi, Tao, Chenyang, Datta, Shounak, Mehta, Nikhil, Henao, Ricardo, Li, Fan, Carin, Lawrence
A key to causal inference with observational data is achieving balance in predictive features associated with each treatment type. Recent literature has explored representation learning to achieve this goal. In this work, we discuss the pitfalls of t
Externí odkaz:
http://arxiv.org/abs/2010.12618
Causal inference, or counterfactual prediction, is central to decision making in healthcare, policy and social sciences. To de-bias causal estimators with high-dimensional data in observational studies, recent advances suggest the importance of combi
Externí odkaz:
http://arxiv.org/abs/2010.07866
Autor:
Chapfuwa, Paidamoyo, Assaad, Serge, Zeng, Shuxi, Pencina, Michael J., Carin, Lawrence, Henao, Ricardo
Balanced representation learning methods have been applied successfully to counterfactual inference from observational data. However, approaches that account for survival outcomes are relatively limited. Survival data are frequently encountered acros
Externí odkaz:
http://arxiv.org/abs/2006.07756
Autor:
Dov, David, Kovalsky, Shahar Ziv, Assaad, Serge, Cohen, Avani A. Pendse Jonathan, Range, Danielle Elliott, Henao, Ricardo, Carin, Lawrence
We consider machine-learning-based thyroid-malignancy prediction from cytopathology whole-slide images (WSI). Multiple instance learning (MIL) approaches, typically used for the analysis of WSIs, divide the image (bag) into patches (instances), which
Externí odkaz:
http://arxiv.org/abs/1904.12739
Autor:
Assaad, Serge, Dov, David, Davis, Richard, Kovalsky, Shahar, Lee, Walter T., Kahmke, Russel, Rocke, Daniel, Cohen, Jonathan, Henao, Ricardo, Carin, Lawrence, Range, Danielle Elliott
Publikováno v:
In Modern Pathology June 2023 36(6)
Akademický článek
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Autor:
Dov, David1, Assaad, Serge1, Syedibrahim, Ameer1, Bell, Jonathan1,2, Jiaoti Huang2, Madden, John2, Bentley, Rex2, McCall, Shannon2, Henao, Ricardo3, Carin, Lawrence1, Wen-Chi Foo2 wenchi.foo@duke.edu
Publikováno v:
Archives of Pathology & Laboratory Medicine. Jun2022, Vol. 146 Issue 6, p727-734. 8p. 2 Color Photographs, 1 Diagram, 5 Charts, 2 Graphs.
Akademický článek
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