Predicting the next-day perceived and physiological stress of pregnant women by using machine learning and explainability: algorithm development and validation A Ng, B Wei, J Jain, EA Ward, SD Tandon, JT Moskowitz, ... JMIR mHealth and uHealth 10 (8), e33850, 2022 | 11 | 2022 |
An end-to-end energy-efficient approach for intake detection with low inference time using wrist-worn sensor B Wei, S Zhang, X Diao, Q Xu, Y Gao, N Alshurafa IEEE Journal of Biomedical and Health Informatics, 2023 | 5 | 2023 |
Experience: Barriers and Opportunities of Wearables for Eating Research M Pedram, G Fernandes, C Romano, B Wei, S Sen, J Hester, N Alshurafa Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 2 | 2023 |
Activity Recognition and Classification via Deep Neural Networks Z Wang, L Lin, R Wang, B Wei, Y Xu, Z Jiang, R Li Testbeds and Research Infrastructures for the Development of Networks and …, 2020 | | 2020 |
Analysis and Implementation of Multidimensional Data Visualization Methods in Large-Scale Power Internet of Things Z Liu, Z Wang, B Wei, X Yuan Broadband Communications, Networks, and Systems: 10th EAI International …, 2019 | | 2019 |
Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation M Rabbi, A Ferrario, A Ng, B Wei, J Jain, EA Ward, SD Tandon, ... | | |