Publications

Note: PDF is for personal use only. Copyrights are reserved by Publishers

You can find my Google Scholar profile here.

2023

Dong, T., Sinha, S., Zhai, B., Fudulu, D.P., Chan, J., Narayan, P., Judge, A., Caputo, M., Dimagli, A., Benedetto, U. and Angelini, G.D., 2023. Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study. Digital Health,2023 [PDF]
(accepted)

Shao, S., Guan, Y., Zhai, B., Missier, P. and Plötz, T., 2023. ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, IMWUT/Ubicomp 2023 Core A* [PDF]
(accepted)

2021

Zhai, B., Guan, Y., Catt, M. and Plötz, T., 2021. Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, IMWUT/Ubicomp 2023 Core A*, [PDF]
(accepted)

2020

Zhai, B., Perez-Pozuelo, I., Clifton, E.A., Palotti, J. and Guan, Y., 2020. Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, IMWUT/Ubicomp 2023 Core A* [PDF]
(accepted)

Perez-Pozuelo, I., Zhai, B., Palotti, J., Mall, R., Aupetit, M., Garcia-Gomez, J.M., Taheri, S., Guan, Y. and Fernandez-Luque, L., 2020. The future of sleep health: a data-driven revolution in sleep science and medicine. NPJ digital medicine, 3(1), p.42.
(accepted) [PDF]