3 citations · 8 across the 7 of their papers we have counts for
Showing 2019Show all
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q-bio.QM2019★ 1 cited
High-Throughput Machine Learning from Electronic Health Records
Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig +5
The widespread digitization of patient data via electronic health records (EHRs) has created an unprecedented opportunity to use machine learning algorithms to better predict disea…
cs.GR2019★ 2 cited
An Application of Manifold Learning in Global Shape Descriptors
Fereshteh S. Bashiri, Reihaneh Rostami, Peggy Peissig +2
With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to p…