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Ross Kleiman
Publication Activity (10 Years)
Years Active: 2017-2020
Publications (10 Years): 6
Top Topics
Machine Learning
Recursive Feature Elimination
Medical Informatics
Random Forests
Top Venues
CoRR
CRI
ICML
ICMLA
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Publications
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Alex Taylor
,
Ross Kleiman
,
Scott J. Hebbring
,
Peggy L. Peissig
,
David Page
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records.
CoRR
(2020)
Ross Kleiman
,
David Page
AUCμ: A Performance Metric for Multi-Class Machine Learning Models.
ICML
(2019)
Irene Giacomelli
,
Somesh Jha
,
Ross Kleiman
,
David Page
,
Kyonghwan Yoon
Privacy-Preserving Collaborative Prediction using Random Forests.
CoRR
(2018)
Nicholas Sean Escanilla
,
Lisa Hellerstein
,
Ross Kleiman
,
Zhaobin Kuang
,
James Shull
,
David Page
Recursive Feature Elimination by Sensitivity Testing.
ICMLA
(2018)
Ahmad Pahlavan Tafti
,
Eric LaRose
,
Jonathan C. Badger
,
Ross Kleiman
,
Peggy L. Peissig
Machine Learning-as-a-Service and Its Application to Medical Informatics.
MLDM
(2017)
Jonathan C. Badger
,
Eric R. LaRose
,
Ross Kleiman
,
Richard L. Berg
,
James G. Linneman
,
Richard Hansen
,
David Page
,
Peggy L. Peissig
SCCS for Detection of Differences in Brand and Generic Adverse Drug Events.
CRI
(2017)