Pulakesh Upadhyaya

According to our database1, Pulakesh Upadhyaya authored at least 13 papers between 2017 and 2024.

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Bibliography

2024
Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units.
CoRR, 2024

2023
ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports.
BMC Medical Informatics Decis. Mak., December, 2023

Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark.
J. Biomed. Informatics, January, 2023

Inferring Personalized Treatment Effect of Antihypertensives on Alzheimer's Disease Using Deep Learning.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2021
Scalable Causal Structure Learning: New Opportunities in Biomedicine.
CoRR, 2021

Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark.
CoRR, 2021

2020
Improve Robustness of Deep Neural Networks by Coding.
Proceedings of the Information Theory and Applications Workshop, 2020

CodNN - Robust Neural Networks From Coded Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Machine Learning for Error Correction with Natural Redundancy.
CoRR, 2019

Representation-Oblivious Error Correction by Natural Redundancy.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2017
Correcting errors by natural redundancy.
Proceedings of the 2017 Information Theory and Applications Workshop, 2017

On LDPC decoding with natural redundancy.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Stopping set elimination for LDPC codes.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017


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