| 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 | 82 | 2016 |
| 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 | 30 | 2017 |
| 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 | 23 | 2011 |
| 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 | 5 | 2014 |
| 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 | 4 | 2014 |
| A traffic-aware top-n firewall approximation algorithm HY Lam, D Wang, HJ Chao 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2011 | 4 | 2011 |
| 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 | 2 | 2010 |
| 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 | 1 | 2015 |
| 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 | 1 | 2015 |
| 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 | 1 | 2014 |
| 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, ... | | |
