Ajit Rajasekharan

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Language Modelling

Natural Language

Translation Model

Top Venues

J. Biomed. Informatics

Trans. Mach. Learn. Res.

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)
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
AMMU: A survey of transformer-based biomedical pretrained language models. J. Biomed. Informatics 126 (2022)
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
AMMU - A Survey of Transformer-based Biomedical Pretrained Language Models. CoRR (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)
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing. CoRR (2021)