Samuel J. Asirvatham

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 5

Top Topics

Imbalanced Datasets

Regression Methods

Top Venues

npj Digit. Medicine

Trans. Mach. Learn. Res.

Publications

Donnchadh O'Sullivan, Scott Anjewierden, Grace Greason, Itzhak Zachi Attia, Francisco Lopez-Jimenez, Paul A. Friedman, Peter A. Noseworthy, Jason Anderson, Anthony H. Kashou, Samuel J. Asirvatham, Benjamin W. Eidem, Jonathan N. Johnson, Talha Niaz, Malini Madhavan
Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development. npj Digit. Medicine 7 (1) (2024)
Eunjung Lee, Saki Ito, William R. Miranda, Francisco Lopez-Jimenez, Garvan C. Kane, Samuel J. Asirvatham, Peter A. Noseworthy, Paul A. Friedman, Rickey E. Carter, Barry A. Borlaug, Zachi Attia, Jae K. Oh
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure. npj Digit. Medicine 7 (1) (2024)
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)
Suraj Kapa, Timothy Pierce, David L. Hayes, David R. Holmes Jr., Samuel J. Asirvatham
Electromagnetic interference of magnetic field based auto identification technologies in healthcare settings. Int. J. Medical Informatics 80 (4) (2011)