Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Hung-Yu Kao"'
Autor:
Yudianto Sujana, Hung-Yu Kao
Publikováno v:
IEEE Access, Vol 11, Pp 10894-10901 (2023)
Developing a high-performance text classification model in a low-resource language is challenging due to the lack of labeled data. Meanwhile, collecting large amounts of labeled data is cost-inefficient. One approach to increase the amount of labeled
Externí odkaz:
https://doaj.org/article/e9ab56f92c9c47feb601dfc6f37c6865
Autor:
Yu-Ming Chen, Po-Cheng Chen, Wei-Che Lin, Kuo-Chuan Hung, Yang-Chieh Brian Chen, Chi-Fa Hung, Liang-Jen Wang, Ching-Nung Wu, Chih-Wei Hsu, Hung-Yu Kao
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
IntroductionPost-stroke depression (PSD) is a serious mental disorder after ischemic stroke. Early detection is important for clinical practice. This research aims to develop machine learning models to predict new-onset PSD using real-world data.Meth
Externí odkaz:
https://doaj.org/article/4308cb18bec04f99b1b903a403712f24
Publikováno v:
IEEE Access, Vol 9, Pp 106907-106917 (2021)
Fake news on social media is a widespread and serious problem in today’s society. Existing fake news detection methods focus on finding clues from Long text content, such as original news articles and user comments. This paper solves the problem of
Externí odkaz:
https://doaj.org/article/3f8278a0325e4158a25912344d27e549
Publikováno v:
IEEE Access, Vol 8, Pp 212865-212875 (2020)
Rumors in social media represent a severe problem prevailing in today's society. Previous studies on automated rumor detection have shown that the topological information specific to social media is a vital clue for debunking rumors. However, existin
Externí odkaz:
https://doaj.org/article/7d0f6fae1b4b42e0b498507290ee2bbb
Publikováno v:
Sensors, Vol 23, Iss 3, p 1483 (2023)
Recent advances with large-scale pre-trained language models (e.g., BERT) have brought significant potential to natural language processing. However, the large model size hinders their use in IoT and edge devices. Several studies have utilized task-s
Externí odkaz:
https://doaj.org/article/915b77236cf5432bb0bbc93241109002
Publikováno v:
Sensors, Vol 22, Iss 17, p 6652 (2022)
With the development of social media, social communication has changed. While this facilitates people’s communication and access to information, it also provides an ideal platform for spreading rumors. In normal or critical situations, rumors can a
Externí odkaz:
https://doaj.org/article/5523aa78047c4bada8dcc9e7adabfbc1
Autor:
Chih-Wei Hsu, Shang-Ying Tsai, Liang-Jen Wang, Chih-Sung Liang, Andre F. Carvalho, Marco Solmi, Eduard Vieta, Pao-Yen Lin, Chien-An Hu, Hung-Yu Kao
Publikováno v:
Biomedicines, Vol 9, Iss 11, p 1558 (2021)
Routine monitoring of lithium levels is common clinical practice. This is because the lithium prediction strategies available developed by previous studies are still limited due to insufficient prediction performance. Thus, we used machine learning a
Externí odkaz:
https://doaj.org/article/916e42c8d5484171be0701de89439476
Autor:
Yi-Ting Chung, Chun-Yin Yeh, Yu-Chen Shu, Kun-Ta Chuang, Chang-Chun Chen, Hung-Yu Kao, Wen-Chien Ko, Po-Lin Chen, Nai-Ying Ko
Publikováno v:
Journal of Microbiology, Immunology and Infection, Vol 53, Iss 3, Pp 503-504 (2020)
Externí odkaz:
https://doaj.org/article/38920ef046a94b849c21a2968dbf7f5e
Publikováno v:
PLoS ONE, Vol 8, Iss 11, p e77868 (2013)
BACKGROUND: Determining the semantic relatedness of two biomedical terms is an important task for many text-mining applications in the biomedical field. Previous studies, such as those using ontology-based and corpus-based approaches, measured semant
Externí odkaz:
https://doaj.org/article/4a71d4c23af541989686c22ae22fc926
Autor:
Sofie Van Landeghem, Jari Björne, Chih-Hsuan Wei, Kai Hakala, Sampo Pyysalo, Sophia Ananiadou, Hung-Yu Kao, Zhiyong Lu, Tapio Salakoski, Yves Van de Peer, Filip Ginter
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e55814 (2013)
Text mining for the life sciences aims to aid database curation, knowledge summarization and information retrieval through the automated processing of biomedical texts. To provide comprehensive coverage and enable full integration with existing biomo
Externí odkaz:
https://doaj.org/article/52cc5051fb254c52971413c43aa54112