Zobrazeno 1 - 10
of 3 026
pro vyhledávání: '"Ye Eun"'
Autor:
Cho, Ye-eun, Maeng, Yunho
This study explored how Vision-Language Models (VLMs) process ignorance implicatures with visual and linguistic cues. Particularly, we focused on the effects of contexts (precise and approximate contexts) and modifier types (bare numerals, superlativ
Externí odkaz:
http://arxiv.org/abs/2502.09120
Random forest (RF) stands out as a highly favored machine learning approach for classification problems. The effectiveness of RF hinges on two key factors: the accuracy of individual trees and the diversity among them. In this study, we introduce a n
Externí odkaz:
http://arxiv.org/abs/2410.19022
Autor:
Cho, Ye-eun, Kim, Seong mook
This study investigates how Large Language Models (LLMs), particularly BERT (Devlin et al., 2019) and GPT-2 (Radford et al., 2019), engage in pragmatic inference of scalar implicature, such as some. Two sets of experiments were conducted using cosine
Externí odkaz:
http://arxiv.org/abs/2408.06673
Autor:
Ye-Won Song, Sun-Young Park, Ye-Eun Kim, Hye-Won Lee, Jung-Yeon Jae, Hyeon-Ji Shim, Hee-Jung Lim, Im-Hee Jung, Do-Seon Lim
Publikováno v:
치위생과학회지, Vol 24, Iss 4, Pp 289-298 (2024)
Background: This study aimed to evaluate the effects of kombucha on the surface of composite resins and to examine the degradation-inhibiting effect of adding calcium to kombucha. Methods: Six experimental groups were established, with three types
Externí odkaz:
https://doaj.org/article/e881516ef00b47ca90f7b5bfa4f7478c
Autor:
Kim, Ye Eun1 (AUTHOR) kyeun0628@yonsei.ac.kr, Lee, Eun Ji2 (AUTHOR) opticdisc@gmail.com, Yoon, Jung Suk2 (AUTHOR) jungseok91@gmail.com, Kwak, Jiyoon2 (AUTHOR) 1jiyoonk1@gmail.com, Kim, Hyunjoong1 (AUTHOR) hkim@yonsei.ac.kr
Publikováno v:
Diagnostics (2075-4418). Feb2025, Vol. 15 Issue 3, p277. 11p.
Autor:
Chun, Ye Eun, Kwon, Sunjae, Sohn, Kyunghwan, Sung, Nakwon, Lee, Junyoup, Seo, Byungki, Compher, Kevin, Hwang, Seung-won, Choi, Jaesik
In this paper, we introduce CR-COPEC called Causal Rationale of Corporate Performance Changes from financial reports. This is a comprehensive large-scale domain-adaptation causal sentence dataset to detect financial performance changes of corporate.
Externí odkaz:
http://arxiv.org/abs/2310.16095
Autor:
Na-Hyun Park, Ye-Eun Kang, Ji-Hae Yoon, Yo-Chan Ahn, Eun-Jung Lee, Byung-Jin Park, Chang-Gue Son
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Fatigue is one of the common symptoms in individuals with diseases or disorders, significantly affecting quality of life (QoL) and the prognosis of diseases. This study aimed to comprehensively compare the features of fatigue across a wide r
Externí odkaz:
https://doaj.org/article/fc5552541b12451a8ca24bedee23040e
Autor:
Park, Ye-Eun1 (AUTHOR) parkyeeun929@gmail.com, Lee, Sunhee1,2 (AUTHOR) shlee014@dau.ac.kr
Publikováno v:
Polymers (20734360). Oct2024, Vol. 16 Issue 20, p2852. 16p.
Autor:
An, Young Jun1 (AUTHOR), Jung, Ye-Eun2 (AUTHOR), Lee, Kyeong Won1 (AUTHOR), Kaushal, Prashant3 (AUTHOR), Ko, In Young4 (AUTHOR), Shin, Seung Min1 (AUTHOR), Ji, Sangho5 (AUTHOR), Yu, Wookyung5 (AUTHOR), Lee, Cheolju3 (AUTHOR), Lee, Won-Kyu4 (AUTHOR), Cha, Kiweon4 (AUTHOR), Lee, Jung-Hyun1 (AUTHOR) jlee@kiost.ac.kr, Cha, Sun-Shin2 (AUTHOR) chajung@ewha.ac.kr, Yim, Hyung-Soon1 (AUTHOR) yimh@kiost.ac.kr
Publikováno v:
PLoS ONE. 9/5/2024, Vol. 19 Issue 9, p1-22. 22p.
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e55176 (2024)
BackgroundThe shift in medical care toward prediction and prevention has led to the emergence of digital health care as a valuable tool for managing health issues. Aiding long-term follow-up care for cancer survivors and contributing to improved surv
Externí odkaz:
https://doaj.org/article/c7448a487b56418e8ecf5571fc677a99