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Sairam Bade
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 4
Top Topics
Random Forests
Uncertain Data
Electronic Health Records
Regression Methods
Top Venues
CoRR
npj Digit. Medicine
Patterns
Trans. Mach. Learn. Res.
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Publications
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Uddeshya Upadhyay
,
Sairam Bade
,
Arjun Puranik
,
Shahir Asfahan
,
Melwin Babu
,
Francisco Lopez-Jimenez
,
Samuel J. Asirvatham
,
Ashim Prasad
,
Ajit Rajasekharan
,
Samir Awasthi
,
Rakesh Barve
HypUC: Hyperfine Uncertainty Calibration with Gradient- boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms.
Trans. Mach. Learn. Res.
2023 (2023)
Uddeshya Upadhyay
,
Sairam Bade
,
Arjun Puranik
,
Shahir Asfahan
,
Melwin Babu
,
Francisco Lopez-Jimenez
,
Samuel J. Asirvatham
,
Ashim Prasad
,
Ajit Rajasekharan
,
Samir Awasthi
,
Rakesh Barve
HypUC: Hyperfine Uncertainty Calibration with Gradient-boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms.
CoRR
(2023)
A. J. Venkatakrishnan
,
Colin Pawlowski
,
David Zemmour
,
Travis Hughes
,
Akash Anand
,
Gabriela Berner
,
Nikhil Kayal
,
Arjun Puranik
,
Ian Conrad
,
Sairam Bade
,
Rakesh Barve
,
Purushottam Sinha
,
John C. O'Horo
,
Andrew D. Badley
,
John D. Halamka
,
Venky Soundararajan
Mapping each pre-existing condition's association to short-term and long-term COVID-19 complications.
npj Digit. Medicine
4 (2021)
Karthik Murugadoss
,
Ajit Rajasekharan
,
Bradley A. Malin
,
Vineet Agarwal
,
Sairam Bade
,
Jeff R. Anderson
,
Jason L. Ross
,
William A. Faubion Jr.
,
John D. Halamka
,
Venky Soundararajan
,
Sankar Ardhanari
Building a best-in-class automated de-identification tool for electronic health records through ensemble learning.
Patterns
2 (6) (2021)