Wei Tu
Wei Tu
Verified email at queensu.ca
Cited by
Cited by
Machine learning models reveal neurocognitive impairment type and prevalence are associated with distinct variables in HIV/AIDS
W Tu, PA Chen, N Koenig, D Gomez, E Fujiwara, MJ Gill, L Kong, ...
Journal of neurovirology 26 (1), 41-51, 2020
Efficient robust doubly adaptive regularized regression with applications
RJ Karunamuni, L Kong, W Tu
Statistical methods in medical research 28 (7), 2210-2226, 2019
M-estimation in Low-rank Matrix Factorization: a General Framework
W Tu, P Liu, J Zhao, Y Liu, L Kong, G Li, B Jiang, G Tian, H Yao
2019 IEEE International Conference on Data Mining (ICDM), 568-577, 2019
Nonlocal spatial clustering in automated brain hematoma and edema segmentation
W Tu, L Kong, R Karunamuni, K Butcher, L Zheng, R McCourt
Applied Stochastic Models in Business and Industry 35 (2), 321-329, 2019
Ensemble-based Ultrahigh-dimensional Variable Screening.
W Tu, D Yang, L Kong, M Che, Q Shi, G Li, G Tian
IJCAI, 3613-3619, 2019
Predictive variables for peripheral neuropathy in treated HIV type 1 infection revealed by machine learning
W Tu, E Johnson, E Fujiwara, MJ Gill, L Kong, C Power
AIDS 35 (11), 1785-1793, 2021
Peri-hematoma corticospinal tract integrity in intracerebral hemorrhage patients: A diffusion-tensor imaging study
R McCourt, E Misaghi, W Tu, M Kate, L Gioia, S Treit, C Beaulieu, ...
Journal of the Neurological Sciences 421, 117317, 2021
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