| HPC strength prediction using artificial neural network J Kasperkiewicz, J Racz, A Dubrawski Journal of Computing in Civil Engineering 9 (4), 279-284, 1995 | 299 | 1995 |
| 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 | 259 | 2023 |
| 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 | 224 | 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 | 164 | 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 | 114 | 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 | 103 | 2015 |
| 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 | 89 | 2023 |
| 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 | 86 | 2018 |
| 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 | 85 | 2016 |
| Interactive weak supervision: Learning useful heuristics for data labeling B Boecking, W Neiswanger, E Xing, A Dubrawski arXiv preprint arXiv:2012.06046, 2020 | 82 | 2020 |
| 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 | 67 | 2018 |
| 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 |
| 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 | 61 | 2019 |
| 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 | 60 | 2022 |
| 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 | 60 | 1994 |
| 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 | 54 | 2020 |
| 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 |
| 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 | 46 | 2017 |
| An entity resolution approach to isolate instances of human trafficking online C Nagpal, K Miller, B Boecking, A Dubrawski arXiv preprint arXiv:1509.06659, 2015 | 46 | 2015 |
| 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 | 44 | 1994 |
Michael R Pinsky, MDProfessor of Critical Care Medicine, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
