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Search results (7)

« Back to Publications

Clinically validated graphical approaches identify hepatosplenic multimorbidity in individuals at risk of schistosomiasis.

Zhi Y-C. et al, (2025), R Soc Open Sci, 12

Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis

Zhi Y-C. et al, (2025)

Medical, socioeconomic, and geographic disparities in primary health care access and utilization: A population-based study of 8038 individuals aged one year and older in rural Uganda

Mayet S. et al, (2025)

Multimorbidity representation via graph learning: A population-based study on hepatosplenic conditions in schistosomiasis-endemic areas of rural Uganda

Zhi Y-C. et al, (2024)

Graph classification Gaussian processes via spectral features

Opolka F. et al, (2023), Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence, 216, 1575 - 1585

Gaussian Processes on Graphs Via Spectral Kernel Learning

Zhi YC. et al, (2023), IEEE Transactions on Signal and Information Processing over Networks, 9, 304 - 314

Adaptive Gaussian processes on graphs via spectral graph wavelets

Opolka F. et al, (2022), Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, 4818 - 4834