Artur Dubrawski

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Citations	2646	1775
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79 articles

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Michael R Pinsky, MDProfessor of Critical Care Medicine, University of PittsburghAdresse e-mail validée de pitt.edu
Gilles ClermontProfessor of Critical Care Medicine, University of PittsburghAdresse e-mail validée de pitt.edu
Madalina FiterauAssistant Professor, University of Massachusetts, AmherstAdresse e-mail validée de cs.stanford.edu
Eliezer BoseMassachusetts General HospitalAdresse e-mail validée de mgh.harvard.edu
Benedikt BoeckingCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Maheshkumar SabhnaniGoogleAdresse e-mail validée de google.com
Chirag NagpalGoogleAdresse e-mail validée de cs.cmu.edu
Jeff SchneiderCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Jieshi ChenCarnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Yichong XuSenior Researcher, Microsoft ResearchAdresse e-mail validée de microsoft.com
Maria De-ArteagaAssistant Professor, University of Texas at AustinAdresse e-mail validée de utexas.edu
Anthony WertzCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Andrew MooreDean, School of Computer Science, Carnegie MellonAdresse e-mail validée de cs.cmu.edu
Prateek TandonPostdoctoral Candiate, University of California, San DiegoAdresse e-mail validée de ucsd.edu
Matt BarnesGoogle ResearchAdresse e-mail validée de google.com
Saswati RayGoogleAdresse e-mail validée de google.com
Srinivasa NarasimhanProfessor of Robotics, Carnegie Mellon universityAdresse e-mail validée de andrew.cmu.edu
Daniel B. NeillNew York UniversityAdresse e-mail validée de nyu.edu
Chao LiuCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Ata Murat KaynarUniversity of PittsburghAdresse e-mail validée de upmc.edu

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Artur Dubrawski

Carnegie Mellon University

Adresse e-mail validée de cs.cmu.edu


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
HPC strength prediction using artificial neural network J Kasperkiewicz, J Racz, A Dubrawski Journal of Computing in Civil Engineering 9 (4), 279-284, 1995	269	1995
Robot learning in homes: Improving generalization and reducing dataset bias A Gupta, A Murali, DP Gandhi, L Pinto Advances in neural information processing systems 31, 2018	121	2018
36th international symposium on intensive care and emergency medicine RM Bateman, MD Sharpe, JE Jagger, CG Ellis, J Solé-Violán, ... Critical care 20 (2), 13-182, 2016	90	2016
Leveraging publicly available data to discern patterns of human-trafficking activity A Dubrawski, K Miller, M Barnes, B Boecking, E Kennedy Journal of Human Trafficking 1 (1), 65-85, 2015	83	2015
Using supervised machine learning to classify real alerts and artifact in online multi-signal vital sign monitoring data L Chen, A Dubrawski, D Wang, M Fiterau, M Guillame-Bert, E Bose, ... Critical care medicine 44 (7), e456, 2016	73	2016
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks C Nagpal, X Li, A Dubrawski IEEE Journal of Biomedical and Health Informatics 25 (8), 3163-3175, 2021	62	2021
Interactive weak supervision: Learning useful heuristics for data labeling B Boecking, W Neiswanger, E Xing, A Dubrawski arXiv preprint arXiv:2012.06046, 2020	59	2020
Gleaning knowledge from data in the intensive care unit MR Pinsky, A Dubrawski American journal of respiratory and critical care medicine 190 (6), 606-610, 2014	59	2014
A call to alarms: current state and future directions in the battle against alarm fatigue M Hravnak, T Pellathy, L Chen, A Dubrawski, A Wertz, G Clermont, ... Journal of electrocardiology 51 (6), S44-S48, 2018	56	2018
Learning locomotion reflexes: A self-supervised neural system for a mobile robot A Dubrawski, JL Crowley Robotics and Autonomous Systems 12 (3-4), 133-142, 1994	56	1994
Machine learning for the developing world M De-Arteaga, W Herlands, DB Neill, A Dubrawski ACM Transactions on Management Information Systems (TMIS) 9 (2), 1-14, 2018	51	2018
N-hits: Neural hierarchical interpolation for time series forecasting C Challu, KG Olivares, BN Oreshkin, F Garza, M Mergenthaler-Canseco, ... arXiv preprint arXiv:2201.12886, 2022	44	2022
Learning to categorize perceptual space of a mobile robot using fuzzy-art neural network A Dubrawski, P Reignier Proceedings of IEEE/RSJ International Conference on Intelligent Robots and …, 1994	43	1994
Detection of radioactive sources in urban scenes using Bayesian Aggregation of data from mobile spectrometers P Tandon, P Huggins, R Maclachlan, A Dubrawski, K Nelson, S Labov Information Systems 57, 195-206, 2016	42	2016
Artificial neural network for mobile robot topological localization J Racz, A Dubrawski Robotics and autonomous systems 16 (1), 73-80, 1995	40	1995
Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data M Hravnak, L Chen, A Dubrawski, E Bose, G Clermont, MR Pinsky Journal of clinical monitoring and computing 30, 875-888, 2016	38	2016
Noise-tolerant interactive learning using pairwise comparisons Y Xu, H Zhang, K Miller, A Singh, A Dubrawski Advances in neural information processing systems 30, 2017	36	2017
Automated data mining of the electronic health record for investigation of healthcare-associated outbreaks AJ Sundermann, JK Miller, JW Marsh, MI Saul, KA Shutt, M Pacey, ... Infection Control & Hospital Epidemiology 40 (3), 314-319, 2019	35	2019
Dynamic and personalized risk forecast in step-down units. Implications for monitoring paradigms L Chen, O Ogundele, G Clermont, M Hravnak, MR Pinsky, AW Dubrawski Annals of the American Thoracic Society 14 (3), 384-391, 2017	35	2017
Learning under selective labels in the presence of expert consistency M De-Arteaga, A Dubrawski, A Chouldechova arXiv preprint arXiv:1807.00905, 2018	34	2018

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