Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Cha, Meeyoung"'
Autor:
Vecchietti, Luiz Felipe, Lee, Minji, Hangeldiyev, Begench, Jung, Hyunkyu, Park, Hahnbeom, Kim, Tae-Kyun, Cha, Meeyoung, Kim, Ho Min
Recent advancements in machine learning (ML) are transforming the field of structural biology. For example, AlphaFold, a groundbreaking neural network for protein structure prediction, has been widely adopted by researchers. The availability of easy-
Externí odkaz:
http://arxiv.org/abs/2409.17726
Drawing parallels between human cognition and artificial intelligence, we explored how large language models (LLMs) internalize identities imposed by targeted prompts. Informed by Social Identity Theory, these identity assignments lead LLMs to distin
Externí odkaz:
http://arxiv.org/abs/2409.03843
The spread of fake news negatively impacts individuals and is regarded as a significant social challenge that needs to be addressed. A number of algorithmic and insightful features have been identified for detecting fake news. However, with the recen
Externí odkaz:
http://arxiv.org/abs/2406.11260
Autor:
Han, Sungwon, Ahn, Donghyun, Lee, Seungeon, Song, Minhyuk, Park, Sungwon, Park, Sangyoon, Kim, Jihee, Cha, Meeyoung
Moving beyond traditional surveys, combining heterogeneous data sources with AI-driven inference models brings new opportunities to measure socio-economic conditions, such as poverty and population, over expansive geographic areas. The current resear
Externí odkaz:
http://arxiv.org/abs/2406.09799
The increasing frequency and intensity of natural disasters demand more sophisticated approaches for rapid and precise damage assessment. To tackle this issue, researchers have developed various methods on disaster benchmark datasets from satellite i
Externí odkaz:
http://arxiv.org/abs/2406.08020
Proteins are complex molecules responsible for different functions in nature. Enhancing the functionality of proteins and cellular fitness can significantly impact various industries. However, protein optimization using computational methods remains
Externí odkaz:
http://arxiv.org/abs/2405.18986
Federated learning combines local updates from clients to produce a global model, which is susceptible to poisoning attacks. Most previous defense strategies relied on vectors derived from projections of local updates on a Euclidean space; however, t
Externí odkaz:
http://arxiv.org/abs/2404.11905
We explored cultural biases-individualism vs. collectivism-in ChatGPT across three Western languages (i.e., English, German, and French) and three Eastern languages (i.e., Chinese, Japanese, and Korean). When ChatGPT adopted an individualistic person
Externí odkaz:
http://arxiv.org/abs/2402.10436
Autor:
Park, Sungkyu, Han, Sungwon, Kim, Jeongwook, Molaie, Mir Majid, Vu, Hoang Dieu, Singh, Karandeep, Han, Jiyoung, Lee, Wonjae, Cha, Meeyoung
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 3, p e28926 (2021)
Externí odkaz:
https://doaj.org/article/8e96cbe5ad3d43e1ae057b28080730af
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 12, p e14473 (2019)
BackgroundAs societies become more complex, larger populations suffer from insomnia. In 2014, the US Centers for Disease Control and Prevention declared that sleep disorders should be dealt with as a public health epidemic. However, it is hard to pro
Externí odkaz:
https://doaj.org/article/f839eadb52f24b9ba5fc6c4e99d99dec