受强制性开放获取政策约束的文章 - Arash Pakbin了解详情
无法在其他位置公开访问的文章：1 篇
Predicting Real-time, Recurrent Adverse Invasive Ventilation from Clinical Data Streams
A Pakbin, Z Nowroozilarki, DKK Lee, BJ Mortazavi
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4, 2023
强制性开放获取政策： US National Institutes of Health
可在其他位置公开访问的文章：5 篇
A human-centered wearable sensing platform with intelligent automated data annotation capabilities
R Solis, A Pakbin, A Akbari, BJ Mortazavi, R Jafari
Proceedings of the International Conference on Internet of Things Design and …, 2019
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Real-time mortality prediction using MIMIC-IV ICU data via boosted nonparametric hazards
Z Nowroozilarki, A Pakbin, J Royalty, DKK Lee, BJ Mortazavi
2021 IEEE EMBS international conference on biomedical and health informatics …, 2021
强制性开放获取政策： US National Institutes of Health
Uncertainty quantification for deep context-aware mobile activity recognition and unknown context discovery
Z Huo, A PakBin, X Chen, N Hurley, Y Yuan, X Qian, Z Wang, S Huang, ...
International Conference on Artificial Intelligence and Statistics, 3894-3904, 2020
强制性开放获取政策： US Department of Defense, US National Institutes of Health
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
X Wang, A Pakbin, B Mortazavi, H Zhao, D Lee
International Conference on Machine Learning, 9973-9982, 2020
强制性开放获取政策： US National Institutes of Health
BoXHED2. 0: Scalable boosting of dynamic survival analysis
A Pakbin, X Wang, BJ Mortazavi, DKK Lee
arXiv preprint arXiv:2103.12591, 2021
强制性开放获取政策： US National Institutes of Health
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