| 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 | 9 | 2019 |
| 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 | 8 | 2018 |
| Interpretable deep learning framework for predicting all-cause 30-day ICU readmissions P Rafi, A Pakbin, SK Pentyala Tech. Rep, 2018 | 6 | 2018 |
| 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 | 3 | 2020 |
| 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 | 2 | 2020 |
| BoXHED 2.0: Scalable boosting of functional data in survival analysis A Pakbin, X Wang, BJ Mortazavi, DKK Lee arXiv preprint arXiv:2103.12591, 2021 | | 2021 |
| 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 |
| 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&MVerified email at tamu.edu
