Rakesh Barve

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Model Selection

Regression Methods

Top Venues

Trans. Mach. Learn. Res.

npj Digit. Medicine

Publications

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)
Sravan Kumar Lalam, Hari Krishna Kunderu, Shayan Ghosh, Harish Kumar A., Samir Awasthi, Ashim Prasad, Francisco Lopez-Jimenez, Zachi Attia, Samuel J. Asirvatham, Paul A. Friedman, Rakesh Barve, Melwin Babu
ECG Representation Learning with Multi-Modal EHR Data. Trans. Mach. Learn. Res. 2023 (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)
A. J. Venkatakrishnan, Arjun Puranik, Akash Anand, David Zemmour, Xiang Yao, Xiaoying Wu, Ramakrishna Chilaka, Dariusz K. Murakowski, Kristopher Standish, Bharathwaj Raghunathan, Tyler Wagner, Enrique Garcia-Rivera, Hugo Solomon, Abhinav Garg, Rakesh Barve, Anuli Anyanwu-Ofili, Najat Khan, Venky Soundararajan
Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. CoRR (2020)