| Graph neural networks in IoT: A survey G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai, R Gutierrez, B Campbel, ... ACM Transactions on Sensor Networks 19 (2), 1-50, 2023 | 115 | 2023 |
| Influenza-like symptom recognition using mobile sensing and graph neural networks G Dong, L Cai, D Datta, S Kumar, LE Barnes, M Boukhechba Proceedings of the conference on health, inference, and learning, 291-300, 2021 | 34 | 2021 |
| Semi-supervised Graph Instance Transformer for Mental Health Inference G Dong, M Tang, L Cai, LE Barnes, M Boukhechba 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 30 | 2021 |
| Using graph representation learning to predict salivary cortisol levels in pancreatic cancer patients G Dong, M Boukhechba, KM Shaffer, LM Ritterband, DG Gioeli, ... Journal of Healthcare Informatics Research 5, 401-419, 2021 | 17 | 2021 |
| Utility-based route choice behavior modeling using deep sequential models G Dong, Y Kweon, BB Park, M Boukhechba Journal of big data analytics in transportation 4 (2), 119-133, 2022 | 8 | 2022 |
| Leveraging Mobile Sensing and Bayesian Change Point Analysis to Monitor Community-Scale Behavioral Interventions: a Case Study on COVID-19 MB Shashwat Kumar, Debajyoti Datta, Guimin Dong, Lihua Cai, Laura Barnes ACM Transactions on Computing for Healthcare, 2022 | 7 | 2022 |
| Using ubiquitous mobile sensing and temporal sensor-relation graph neural network to predict fluid intake of end stage kidney patients M Tang, G Dong, J Zoellner, B Bowman, E Abel-Rahman, M Boukhechba 2022 21st ACM/IEEE International Conference on Information Processing in …, 2022 | 7 | 2022 |
| Deep learning for autonomous vehicles and systems G Dong, M Tang, R Yan, Z Mu, L Cai, BB Park Autonomous Vehicles and Systems, 9-47, 2023 | 6 | 2023 |
| Detection and Analysis of Interrupted Behaviors by Public Policy Interventions during COVID-19 G Dong, L Cai, S Kumar, D Datta, LE Barnes, M Boukhechba 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and …, 2022 | 6 | 2022 |
| SRDA: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using Sensor Relation Dual Autoencoder M Tang, Mingyu and Gao, Jiechao and Dong, Guimin and Yang, Carl and Campbell ... Conference on Health, Inference, and Learning 209 (Proceedings of Machine …, 2023 | 5 | 2023 |
| Deep Graph Learning in Mobile Health G Dong University of Virginia, 2022 | 2 | 2022 |
| Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing G Dong, L Cai, M Tang, LE Barnes, M Boukhechba arXiv preprint arXiv:2312.12666, 2023 | | 2023 |
| 2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)| 978-1-6654-9624-7/22/$31.00© 2022 IEEE| DOI: 10.1109/IPSN54338. 2022.00073 E Abel-Rahman, D Agrawal, A Alali, MI Ali, A Ashok, F Bambusi, Y Bartan, ... | | |
Mehdi BoukhechbaJohnson and Johnson | Janssen R&DПідтверджена електронна адреса в its.jnj.com