Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Youngsuk Park"'
Publikováno v:
Korean Journal of Women Health Nursing, Vol 28, Iss 4, Pp 275-285 (2022)
Purpose This study explored the experiences of pregnant women with depressed mood participating in a group cognitive behavioral therapy (CBT) program using video communication, based on Beck’s cognitive theory. Methods The participants were six pre
Externí odkaz:
https://doaj.org/article/4c78ec8cf58e4720932c14d61a1f7c6d
Autor:
Jeongseung Lee, Youngsuk Park
Publikováno v:
The Journal of Humanities and Social sciences 21. 13:389-404
Autor:
Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
korean management review. 50:143-171
Autor:
Ernest K. Ryu, Youngsuk Park
Publikováno v:
Optimization Letters. 14:1583-1598
In this work, we present and analyze C-SAGA, a (deterministic) cyclic variant of SAGA. C-SAGA is an incremental gradient method that minimizes a sum of differentiable convex functions by cyclically accessing their gradients. Even though the theory of
Autor:
Jeeyun Lee, SeungTae Kim, JungYong Hong, YoungSuk Park, JoonOh Park, WonKi Kang, Keun-Wook Lee, Jin Won Kim, Ji-Won Kim, Se Hyun Kim, Eunsin Ha, Sangmi Lee, JongRan Kim, Weon-Kyoo You
Publikováno v:
Molecular Cancer Therapeutics. 20:P02-03
VEGF blockade is a validated therapeutic approach and anti-VEGF antibodies are established components of several standard regimens for various malignancies. However, the overall response rate to single agent VEGF blockers is extremely low and many pa
Publikováno v:
ACC
We propose a control method to optimally use fuel and battery resources for power-split plug-in hybrid vehicles (PHEVs) under the case of pre determined driving route and associated energy demand profile. We integrate a battery thermal and degradatio
Autor:
Youngsuk Park, Arisa Satoh
Publikováno v:
THE JOURNAL OF HUMANITIES STUDIES. 113:193-214
Publikováno v:
SoCC
Publikováno v:
Proceedings of machine learning research. 54
Markov random fields (MRFs) are a useful tool for modeling relationships present in large and high-dimensional data. Often, this data comes from various sources and can have diverse distributions, for example a combination of numerical, binary, and c