Abhyuday N Jagannatha
Abhyuday N Jagannatha
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Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records
A Jagannatha, H Yu
arXiv preprint arXiv:1606.07953, 2016
Structured prediction models for RNN based sequence labeling in clinical text
AN Jagannatha, H Yu
Proceedings of the conference on empirical methods in natural language …, 2016
Overview of the first natural language processing challenge for extracting medication, indication, and adverse drug events from electronic health record notes (MADE 1.0)
A Jagannatha, F Liu, W Liu, H Yu
Drug safety 42, 99-111, 2019
Learning for biomedical information extraction: Methodological review of recent advances
F Liu, J Chen, A Jagannatha, H Yu
arXiv preprint arXiv:1606.07993, 2016
Towards drug safety surveillance and pharmacovigilance: current progress in detecting medication and adverse drug events from electronic health records
F Liu, A Jagannatha, H Yu
Drug safety 42 (1), 95-97, 2019
Membership inference attack susceptibility of clinical language models
A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2104.08305, 2021
Mining and ranking biomedical synonym candidates from Wikipedia
A Jagannatha, J Chen, H Yu
Proceedings of the sixth international workshop on health text mining and …, 2015
Ranking medical terms to support expansion of lay language resources for patient comprehension of electronic health record notes: adapted distant supervision approach
J Chen, AN Jagannatha, SJ Fodeh, H Yu
JMIR medical informatics 5 (4), e8531, 2017
Calibrating structured output predictors for natural language processing
A Jagannatha, H Yu
Proceedings of the conference. Association for Computational Linguistics …, 2020
A hybrid neural network model for joint prediction of presence and period assertions of medical events in clinical notes
L Rumeng, Y Hong
AMIA Annual Symposium Proceedings 2017, 1149, 2017
Object-aware cropping for self-supervised learning
S Mishra, A Shah, A Bansal, A Jagannatha, J Anjaria, A Sharma, ...
arXiv preprint arXiv:2112.00319, 2021
AMIA Annual Symposium Proceedings
J Li, KV Sarma, KC Ho, A Gertych, BS Knudsen, CW Arnold
Hong Yu
F Liu, A Jagannatha
Learning for biomedical information extraction: Methodological review of …, 2016
Active learning for new domains in natural language understanding
S Peshterliev, J Kearney, A Jagannatha, I Kiss, S Matsoukas
arXiv preprint arXiv:1810.03450, 2018
Federated intrusion detection for iot with heterogeneous cohort privacy
AK Chathoth, A Jagannatha, S Lee
arXiv preprint arXiv:2101.09878, 2021
Inferring ADR causality by predicting the Naranjo Score from Clinical Notes
BPS Rawat, A Jagannatha, F Liu, H Yu
AMIA Annual Symposium Proceedings 2020, 1041, 2020
Towards automatic generation of questions from long answers
SK Mishra, P Goel, A Sharma, A Jagannatha, D Jacobs, H Daumé III
arXiv preprint arXiv:2004.05109, 2020
Continual domain-tuning for pretrained language models
S Rongali, A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2004.02288, 2020
Towards High Confidence Off-Policy Reinforcement Learning for Clinical Applications
A Jagannatha, P Thomas, H Yu
Pose invariant face recognition based on hybrid-global linear regression
RSA Abhishek Sharma, Anamika Dubey, A. N. Jagannatha
Neural Computing and Applications 19 (8), 1227–1235, 2010
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