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Donghan (Jarod) Wang
Donghan (Jarod) Wang
Amazon
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Cited by
Year
Using supervised machine learning to classify real alerts and artifact in online multisignal vital sign monitoring data
L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ...
Critical care medicine 44 (7), e456-e463, 2016
802016
Learning temporal rules to forecast instability in continuously monitored patients
M Guillame-Bert, A Dubrawski, D Wang, M Hravnak, G Clermont, ...
Journal of the American Medical Informatics Association 24 (1), 47-53, 2017
302017
Bayesian optimal active search on graphs
R Garnett, Y Krishnamurthy, D Wang, J Schneider, R Mann
Ninth Workshop on Mining and Learning with Graphs, 2011
232011
797: Interpretable active learning in support of clinical data annotation
D Wang, M Fiterau, A Dubrawski, M Hravnak, G Clermont, M Pinsky
Critical Care Medicine 42 (12), A1552, 2014
52014
Multi-tier ground truth elicitation framework with application to artifact classification for predicting patient instability
D Wang, L Chen, M Fiterau, A Dubrawski, M Hravnak, E Bose, D Wallace, ...
J Intensive Care Med 40 (1 Suppl), S289, 2014
42014
A traffic-aware top-n firewall approximation algorithm
HY Lam, D Wang, HJ Chao
2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2011
42011
A traffic-aware top-N firewall ruleset approximation algorithm
HY Lam, D Wang, HJ Chao
Proceedings of the 6th ACM/IEEE Symposium on Architectures for Networking …, 2010
22010
Semi automated adjudication of vital sign alerts in step-down units
M Fiterau, A Dubrawski, D Wang, L Chen, M Guillame-Bert, M Hravnak, ...
Intensive Care Medicine Experimental 3, 1-2, 2015
12015
Machine learning can classify vital sign alerts as real or artifact in online continuous monitoring data
M Hravnak, L Chen, A Dubrawski, D Wang, E Bose, G Clermont, ...
Intensive Care Medicine Experimental 3, 1-2, 2015
12015
Supervised Machine Learning Can Classify Artifact In Multi-Signal Vital Sign Monitoring Data Erom Step-Down Unit (SDU) Patients
M Hravnak, L Chen, A Dubrawski, G Clermont, E Bose, M Fiterau, D Wang, ...
Intensive Care Medicine 40, S28-S28, 2014
12014
Can Machines Learn to Map Creative Videos to Marketing Campaigns?
J Wang, C Mandaviya
WACV2023, 2023
2023
VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data.
D Wang, M Fiterau, A Dubrawski
IJCAI, 4274-4275, 2016
2016
10: USING EXPERT REVIEW TO CALIBRATE SEMI-AUTOMATED ADJUDICATION OF VITAL SIGN ALERTS IN STEP-DOWN UNITS
M Fiterau, D Wang, A Dubrawski, G Clermont, M Hravnak, M Pinsky
Critical Care Medicine 43 (12), 3, 2015
2015
42: RANDOM FOREST MODELS SEPARATE VITAL SIGN EVENTS AS REAL OR ARTIFACT IN CONTINUOUS MONITORING DATA
M Hravnak, L Chen, A Dubrawski, D Wang, E Bose, G Clermont, M Pinsky
Critical Care Medicine 42 (12), A1379, 2014
2014
Detecting artifacts in clinical alerts from vital signs
M Fiterau, A Dubrawski, K Chen, D Wang, G Clermont, M Hravnak, ...
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Articles 1–15