Artur Dubrawski
Artur Dubrawski
Adresse e-mail validée de
Citée par
Citée par
HPC strength prediction using artificial neural network
J Kasperkiewicz, J Racz, A Dubrawski
Journal of Computing in Civil Engineering 9 (4), 279-284, 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
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
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
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
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
Interactive weak supervision: Learning useful heuristics for data labeling
B Boecking, W Neiswanger, E Xing, A Dubrawski
arXiv preprint arXiv:2012.06046, 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
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
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
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
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
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
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
Artificial neural network for mobile robot topological localization
J Racz, A Dubrawski
Robotics and autonomous systems 16 (1), 73-80, 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
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
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
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
Learning under selective labels in the presence of expert consistency
M De-Arteaga, A Dubrawski, A Chouldechova
arXiv preprint arXiv:1807.00905, 2018
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20