Detalhe da pesquisa
1.
The effects of the interaction of genetic predisposition with lifestyle factors on bladder cancer risk.
BJU Int
; 131(4): 443-451, 2023 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-36053730
2.
Plasma metabolomic profiling of dietary patterns associated with glucose metabolism status: The Maastricht Study.
BMC Med
; 20(1): 450, 2022 11 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-36414942
3.
Vegetable intake and the risk of bladder cancer in the BLadder Cancer Epidemiology and Nutritional Determinants (BLEND) international study.
BMC Med
; 19(1): 56, 2021 03 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33685459
4.
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.
Neural Comput
; 28(6): 1217-47, 2016 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-27137357
5.
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.
Neural Netw
; 165: 119-134, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-37285729
6.
Broad-UNet: Multi-scale feature learning for nowcasting tasks.
Neural Netw
; 144: 419-427, 2021 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-34563751
7.
Grain and dietary fiber intake and bladder cancer risk: a pooled analysis of prospective cohort studies.
Am J Clin Nutr
; 112(5): 1252-1266, 2020 11 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-32778880
8.
Deep neural-kernel blocks.
Neural Netw
; 116: 46-55, 2019 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-31005850
9.
Regularized Semipaired Kernel CCA for Domain Adaptation.
IEEE Trans Neural Netw Learn Syst
; 29(7): 3199-3213, 2018 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-28783648
10.
Incremental multi-class semi-supervised clustering regularized by Kalman filtering.
Neural Netw
; 71: 88-104, 2015 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-26319050
11.
Multiclass semisupervised learning based upon kernel spectral clustering.
IEEE Trans Neural Netw Learn Syst
; 26(4): 720-33, 2015 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-25794378
12.
Approximate solutions to ordinary differential equations using least squares support vector machines.
IEEE Trans Neural Netw Learn Syst
; 23(9): 1356-67, 2012 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-24807921