Zobrazeno 1 - 10
of 21 493
pro vyhledávání: '"Jay, C."'
Autor:
Hanan, Jay C.1, Ford, Steve Steve@aapms.net
Publikováno v:
PM World Journal. Sep2024, Vol. 13 Issue 9, p1-8. 8p.
Autor:
Gabrielsen, Paul
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2015 Sep . 112(38), 11745-11747.
Externí odkaz:
https://www.jstor.org/stable/26465111
Deep neural models have achieved state of the art performance on a wide range of problems in computer science, especially in computer vision. However, deep neural networks often require large datasets of labeled samples to generalize effectively, and
Externí odkaz:
http://arxiv.org/abs/2408.07221
Autor:
Liu, Chen, Xu, Ke, Shen, Liangbo L., Huguet, Guillaume, Wang, Zilong, Tong, Alexander, Bzdok, Danilo, Stewart, Jay, Wang, Jay C., Del Priore, Lucian V., Krishnaswamy, Smita
Advances in medical imaging technologies have enabled the collection of longitudinal images, which involve repeated scanning of the same patients over time, to monitor disease progression. However, predictive modeling of such data remains challenging
Externí odkaz:
http://arxiv.org/abs/2406.14794
Publikováno v:
The American Law Register (1852-1891), 1869 Sep 01. 17(9), 558-568.
Externí odkaz:
https://www.jstor.org/stable/3303618
Publikováno v:
The American Law Register (1852-1891), 1869 Apr 01. 17(4), 229-233.
Externí odkaz:
https://www.jstor.org/stable/3303912
Publikováno v:
European Respiratory Review, Vol 28, Iss 154 (2019)
Externí odkaz:
https://doaj.org/article/61c51a670c6a4ceb9523f19aab63642d
In many practical computer vision scenarios unlabeled data is plentiful, but labels are scarce and difficult to obtain. As a result, semi-supervised learning which leverages unlabeled data to boost the performance of supervised classifiers have recei
Externí odkaz:
http://arxiv.org/abs/2311.18083
Publikováno v:
Auditing: A Journal of Practice & Theory. Nov2024, Vol. 43 Issue 4, p163-184. 22p.