Abhyuday N Jagannatha
Abhyuday N Jagannatha
Verified email at cs.umass.edu - Homepage
Cited by
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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 (1), 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
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
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
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
A hybrid neural network model for joint prediction of presence and period assertions of medical events in clinical notes
L Rumeng, N Jagannatha Abhyuday, Y Hong
AMIA Annual Symposium Proceedings 2017, 1149, 2017
Hong Yu. Bidirectional rnn for medical event detection in electronic health records
AN Jagannatha
Proceedings of the conference. Association for Computational Linguistics …, 0
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
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
Towards High Confidence Off-Policy Reinforcement Learning for Clinical Applications
A Jagannatha, P Thomas, H Yu
Calibrating structured output predictors for natural language processing
A Jagannatha, H Yu
arXiv preprint arXiv:2004.04361, 2020
Towards Automatic Generation of Questions from Long Answers
SK Mishra, P Goel, A Sharma, A Jagannatha, D Jacobs, H Daume
arXiv preprint arXiv:2004.05109, 2020
Improved Pretraining for Domain-specific Contextual Embedding Models
S Rongali, A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2004.02288, 2020
Membership Inference Attack Susceptibility of Clinical Language Models
A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2104.08305, 2021
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
AK Chathoth, A Jagannatha, S Lee
arXiv preprint arXiv:2101.09878, 2021
Continual Domain-Tuning for Pretrained Language Models
S Rongali, A Jagannatha, BPS Rawat, H Yu
arXiv preprint arXiv:2004.02288, 2020
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
Ranking medical jargon in electronic health record notes by adapted distant supervision
J Chen, AN Jagannatha, SJ Jarad, H Yu
arXiv preprint arXiv:1611.04491, 2016
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