| Prediction of ICU readmissions using data at patient discharge A Pakbin, P Rafi, N Hurley, W Schulz, MH Krumholz, JB Mortazavi 2018 40th annual international conference of the IEEE engineering in …, 2018 | 43 | 2018 |
| 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 | 25 | 2019 |
| 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 | 19 | 2021 |
| 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 | 18 | 2020 |
| Interpretable deep learning framework for predicting all-cause 30-day ICU readmissions P Rafi, A Pakbin, SK Pentyala Texas A&M University, 2018 | 16 | 2018 |
| 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 | 11 | 2020 |
| BoXHED2. 0: Scalable boosting of dynamic survival analysis A Pakbin, X Wang, BJ Mortazavi, DKK Lee arXiv preprint arXiv:2103.12591, 2021 | 8* | 2021 |
| Theory and software for boosted nonparametric hazard estimation D Lee, N Chen, H Ishwaran, X Wang, A Pakbin, B Mortazavi, H Zhao Survival Prediction-Algorithms, Challenges and Applications, 149-158, 2021 | 2 | 2021 |
| 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 | 1 | 2023 |
| Realtime, multimodal invasive ventilation risk monitoring using language models and BoXHED A Pakbin, A Su, DKK Lee, BJ Mortazavi arXiv preprint arXiv:2410.03725, 2024 | | 2024 |
| Context-aware Mixture of Deep Neural Networks A Pakbin | | 2020 |
| Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery JM A Pakbin, A Samareh, X Chen, N Hurley, Y Yuan, S Huang, X Qian, A Wang ICML Uncertainty and Robustness Estimation in Deep Learning Workshop, 2019 | | 2019 |
| Predicting all-Cause 30-Day ICU Readmissions Using Robust Feature Selection A Pakbin, P Rafi, S Subedi | | |
| Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery A Pakbin, A Samareh, X Chen, NC Hurley, Y Yuan, X Qian, Z Wang, ... | | |
Bobak J. MortazaviComputer Science & Engineering, Texas A&MBestätigte E-Mail-Adresse bei tamu.edu
