Artur Dubrawski

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94 straipsniai

6 straipsniai

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Michael R Pinsky, MDProfessor of Critical Care Medicine, University of PittsburghPatvirtintas el. paštas pitt.edu
Gilles ClermontProfessor of Critical Care Medicine, University of PittsburghPatvirtintas el. paštas pitt.edu
Madalina FiterauAssistant Professor, University of Massachusetts, AmherstPatvirtintas el. paštas cs.stanford.edu
Benedikt BoeckingCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Eliezer BoseMassachusetts General HospitalPatvirtintas el. paštas mgh.harvard.edu
Jieshi ChenCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Chirag NagpalResearch Scientist, GooglePatvirtintas el. paštas cs.cmu.edu
Maheshkumar SabhnaniGooglePatvirtintas el. paštas google.com
Yichong XuMember of Technical Staff, Character.AIPatvirtintas el. paštas microsoft.com
Jeff SchneiderCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Maria De-ArteagaAssistant Professor, University of Texas at AustinPatvirtintas el. paštas utexas.edu
Anthony WertzCarnegie Mellon UniversityPatvirtintas el. paštas cmu.edu
Matt BarnesGoogle DeepMindPatvirtintas el. paštas google.com
Prateek TandonPostdoctoral Candiate, University of California, San DiegoPatvirtintas el. paštas ucsd.edu
Andrew MooreDean, School of Computer Science, Carnegie MellonPatvirtintas el. paštas cs.cmu.edu
Srinivasa NarasimhanU. A. and Helen Whitaker Professor of Robotics, Carnegie Mellon universityPatvirtintas el. paštas andrew.cmu.edu
Daniel B. NeillNew York UniversityPatvirtintas el. paštas nyu.edu
Saswati RayGooglePatvirtintas el. paštas google.com
Chao LiuCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Robert MacLachlanCarnegie Mellon University, Robotics InstitutePatvirtintas el. paštas ri.cmu.edu

Stebėti

Artur Dubrawski

Carnegie Mellon University

Patvirtintas el. paštas cs.cmu.edu


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Nhits: Neural hierarchical interpolation for time series forecasting C Challu, KG Olivares, BN Oreshkin, FG Ramirez, MM Canseco, ... Proceedings of the AAAI conference on artificial intelligence 37 (6), 6989-6997, 2023	395	2023
HPC strength prediction using artificial neural network J Kasperkiewicz, J Racz, A Dubrawski Journal of Computing in Civil Engineering 9 (4), 279-284, 1995	309	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	234	2018
36th international symposium on intensive care and emergency medicine: Brussels, Belgium. 15-18 March 2016 RM Bateman, MD Sharpe, JE Jagger, CG Ellis, J Solé-Violán, ... Critical care 20, 13-182, 2016	190	2016
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx KG Olivares, C Challu, G Marcjasz, R Weron, A Dubrawski International Journal of Forecasting 39 (2), 884-900, 2023	141	2023
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	140	2021
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	110	2015
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	95	2018
Interactive weak supervision: Learning useful heuristics for data labeling B Boecking, W Neiswanger, E Xing, A Dubrawski arXiv preprint arXiv:2012.06046, 2020	90	2020
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	90	2016
Whole-genome sequencing surveillance and machine learning of the electronic health record for enhanced healthcare outbreak detection AJ Sundermann, J Chen, P Kumar, AM Ayres, ST Cho, C Ezeonwuka, ... Clinical Infectious Diseases 75 (3), 476-482, 2022	77	2022
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	74	2018
Active learning for graph neural networks via node feature propagation Y Wu, Y Xu, A Singh, Y Yang, A Dubrawski arXiv preprint arXiv:1910.07567, 2019	70	2019
Preference-based reinforcement learning with finite-time guarantees Y Xu, R Wang, L Yang, A Singh, A Dubrawski Advances in Neural Information Processing Systems 33, 18784-18794, 2020	65	2020
Moment: A family of open time-series foundation models M Goswami, K Szafer, A Choudhry, Y Cai, S Li, A Dubrawski arXiv preprint arXiv:2402.03885, 2024	63	2024
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	63	2014
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	62	1994
End-to-end weak supervision S Rühling Cachay, B Boecking, A Dubrawski Advances in Neural Information Processing Systems 34, 1845-1857, 2021	51	2021
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	51	2017
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	49	2016

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