| Micro-stress EMA: A passive sensing framework for detecting in-the-wild stress in pregnant mothers ZD King, J Moskowitz, B Egilmez, S Zhang, L Zhang, M Bass, J Rogers, ... Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2019 | 68 | 2019 |
| Developing personalized models of blood pressure estimation from wearable sensors data using minimally-trained domain adversarial neural networks L Zhang, NC Hurley, B Ibrahim, E Spatz, HM Krumholz, R Jafari, ... Machine Learning for Healthcare Conference, 97-120, 2020 | 26 | 2020 |
| Sparse gated mixture-of-experts to separate and interpret patient heterogeneity in ehr data Z Huo, L Zhang, R Khera, S Huang, X Qian, Z Wang, BJ Mortazavi 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 13 | 2021 |
| DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records L Zhang, X Chen, T Chen, Z Wang, BJ Mortazavi 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 11 | 2021 |
| Measuring fine-grained heart-rate using a flexible wearable sensor in the presence of noise L Zhang, Z King, B Egilmez, J Reeder, R Ghaffari, J Rogers, K Rosen, ... 2018 IEEE 15th International Conference on Wearable and Implantable Body …, 2018 | 9 | 2018 |
| Keyword-based topic modeling and keyword selection X Wang, L Zhang, D Klabjan 2021 IEEE International Conference on Big Data (Big Data), 1148-1154, 2021 | 8 | 2021 |
| Layer flexible adaptive computation time L Zhang, A Ebrahimi, D Klabjan 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 4* | 2021 |
| Joint Embedding of Food Photographs and Blood Glucose for Improved Calorie Estimation L Zhang, S Huang, A Das, E Do, N Glantz, W Bevier, R Santiago, D Kerr, ... 2023 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2023 | 1 | 2023 |
| Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity L Zhang, R Khera, BJ Mortazavi 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 1 | 2023 |
| Semi-supervised Meta-learning for Multi-source Heterogeneity in Time-series Data L Zhang, BJ Mortazavi Machine Learning for Healthcare Conference, 923-941, 2023 | | 2023 |
| Flexible Models for Heterogeneous Biomedical Data L Zhang Texas A&M University, 2023 | | 2023 |
Bobak J. MortazaviComputer Science & Engineering, Texas A&M在 tamu.edu 的电子邮件经过验证
