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Ross Kleiman

Ross S. Kleiman

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Conference and Workshop Papers

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2019
[c4]
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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/KleimanP19
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  - https://dblp.org/rec/conf/icml/KleimanP19
Ross Kleiman, David Page:
AUCμ: A Performance Metric for Multi-Class Machine Learning Models. ICML 2019: 3439-3447
2018
[c3]
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  - conf/icmla/EscanillaHKKSP18
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  - https://dblp.org/rec/conf/icmla/EscanillaHKKSP18
Nicholas Sean Escanilla, Lisa Hellerstein, Ross Kleiman, Zhaobin Kuang, James Shull, David Page:
Recursive Feature Elimination by Sensitivity Testing. ICMLA 2018: 40-47
2017
[c2]
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  - electronic edition @ amia.org
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  dblp key:
  - conf/cri/BadgerLKBLHPP17
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  - https://dblp.org/rec/conf/cri/BadgerLKBLHPP17
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
[c1]
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  - conf/mldm/TaftiLBKP17
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  - https://dblp.org/rec/conf/mldm/TaftiLBKP17
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: 206-219

Informal and Other Publications

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2020
[i3]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2011-09497
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Alexander K. Taylor, Ross Kleiman, Scott J. Hebbring, Peggy L. Peissig, David Page:
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records. CoRR abs/2011.09497 (2020)
2019
[i2]
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  dblp key:
  - journals/corr/abs-1907-01901
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Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig, Richard L. Berg, Zhaobin Kuang, Scott J. Hebbring, Michael D. Caldwell, David Page:
High-Throughput Machine Learning from Electronic Health Records. CoRR abs/1907.01901 (2019)
2018
[i1]
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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1811-08695
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  - https://dblp.org/rec/journals/corr/abs-1811-08695
Irene Giacomelli, Somesh Jha, Ross Kleiman, David Page, Kyonghwan Yoon:
Privacy-Preserving Collaborative Prediction using Random Forests. CoRR abs/1811.08695 (2018)

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