Zobrazeno 1 - 10
of 18 839
pro vyhledávání: '"Leo, R. A."'
Autor:
García, San Juanita1
Publikováno v:
Bulletin of Latin American Research. Jul2015, Vol. 34 Issue 3, p423-424. 49p.
Autor:
Chen, Yuqian, Zhang, Fan, Wang, Meng, Zekelman, Leo R., Cetin-Karayumak, Suheyla, Xue, Tengfei, Zhang, Chaoyi, Song, Yang, Makris, Nikos, Rathi, Yogesh, Cai, Weidong, O'Donnell, Lauren J.
The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of the brain's white matter networks are often overlooked in convolutional network desi
Externí odkaz:
http://arxiv.org/abs/2407.08883
Autor:
Dye, Ryan D.
Publikováno v:
American Catholic Studies, 2007 Dec 01. 118(4), 19-35.
Externí odkaz:
https://www.jstor.org/stable/44195561
Autor:
Li, Yijie, Zhang, Wei, Wu, Ye, Yin, Li, Zhu, Ce, Chen, Yuqian, Cetin-Karayumak, Suheyla, Cho, Kang Ik K, Zekelman, Leo R., Rushmore, Jarrett, Rathi, Yogesh, Makris, Nikos, O'Donnell, Lauren J., Zhang, Fan
The study of brain differences across Eastern and Western populations provides vital insights for understanding potential cultural and genetic influences on cognition and mental health. Diffusion MRI (dMRI) tractography is an important tool in assess
Externí odkaz:
http://arxiv.org/abs/2404.04604
Autor:
Easterla, David A.
Publikováno v:
Central States Archaeological Journal, 2012 Jul 01. 59(3), 142-144.
Externí odkaz:
https://www.jstor.org/stable/43145445
The EVA 2023 data competition consisted of four challenges, ranging from interval estimation for very high quantiles of univariate extremes conditional on covariates, point estimation of unconditional return levels under a custom loss function, to es
Externí odkaz:
http://arxiv.org/abs/2312.13517
Akademický článek
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Autor:
Joseph, Tiffany D.
Publikováno v:
Contemporary Sociology, 2018 Nov 01. 47(6), 691-692.
Externí odkaz:
https://www.jstor.org/stable/26585983
Autor:
Kim, Joon K.
Publikováno v:
The International Migration Review, 2018 Oct 01. 52(3), 966-968.
Externí odkaz:
https://www.jstor.org/stable/48774488
Autor:
Belzile, Léo R.
The longevity R package provides provide maximum likelihood estimation routine for modelling of survival data that are subject to non-informative censoring and truncation mechanisms. It includes a selection of 12 parametric models of varying complexi
Externí odkaz:
http://arxiv.org/abs/2311.09971