Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yidong Chai"'
Autor:
Dongxiao Gu, Qin Wang, Yidong Chai, Xuejie Yang, Wang Zhao, Min Li, Oleg Zolotarev, Zhengfei Xu, Gongrang Zhang
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e48324 (2024)
BackgroundAllergic rhinitis (AR) is a chronic disease, and several risk factors predispose individuals to the condition in their daily lives, including exposure to allergens and inhalation irritants. Analyzing the potential risk factors that can trig
Externí odkaz:
https://doaj.org/article/efaf7dbd90f44e1981de767e09d63b9a
Publikováno v:
MIS Quarterly. Sep2022, Vol. 46 Issue 3, p1355-1394. 40p. 4 Diagrams, 23 Charts, 4 Graphs.
Autor:
Ebrahimi, Mohammadreza1 ebrahimim@usf.edu, Yidong Chai2 chaiyd@hfut.edu.cn, Samtani, Sagar3 ssamtani@iu.edu, Hsinchun Chen4 hchen@eller.arizona.edu
Publikováno v:
MIS Quarterly. Jun2022, Vol. 46 Issue 2, p1209-1226. 18p. 3 Diagrams, 4 Charts, 4 Graphs.
Autor:
Samtani, Sagar1 ssamtani@iu.edu, Yidong Chai2 cahiyd@hfut.edu.cn, Hsinchun Chen3 hsinchun@arizona.edu
Publikováno v:
MIS Quarterly. Jun2022, Vol. 46 Issue 2, p911-946. 36p. 2 Color Photographs, 3 Diagrams, 25 Charts.
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:1862-1875
Learning predictive models in new domains with scarce training data is a growing challenge in modern supervised learning scenarios. This incentivizes developing domain adaptation methods that leverage the knowledge in known domains (source) and adapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a30c3786ed2f16bcde899155aad43a
https://doi.org/10.1109/tpami.2022.3163338
https://doi.org/10.1109/tpami.2022.3163338
Publikováno v:
ACM Transactions on Management Information Systems. 14:1-21
Medical image annotation aims to automatically describe the content of medical images. It helps doctors to understand the content of medical images and make better informed decisions like diagnoses. Existing methods mainly follow the approach for nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7496c12ef0c85e02604c21e81dd8c84
https://doi.org/10.1145/3561653
https://doi.org/10.1145/3561653
Publikováno v:
Journal of Management Information Systems. 40:271-301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc964e0212acb337032d0b7bbfa6dbf
https://doi.org/10.1080/07421222.2023.2172772
https://doi.org/10.1080/07421222.2023.2172772
Autor:
Yidong Chai, Ruicheng Liang, Sagar Samtani, Hongyi Zhu, Meng Wang, Yezheng Liu, Yuanchun Jiang
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Deep learning (DL) models have significantly improved the performance of text classification and text regression tasks. However, DL models are often strikingly vulnerable to adversarial attacks. Many researchers have aimed to develop adversarial atta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::356ac0a50ccd13c8fdc13860d187487c
https://doi.org/10.1109/tkde.2023.3270581
https://doi.org/10.1109/tkde.2023.3270581
Publikováno v:
Information Systems Research.
Whereas modern medicine has enabled humans to live longer and more robust lives, recent years have seen a significant increase in chronic care costs. The prevention of threats to mobility is critical for chronic disease management. Researchers and ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58ece49184b567a08344ee2671458eb
https://doi.org/10.1287/isre.2023.1203
https://doi.org/10.1287/isre.2023.1203
Autor:
Weifeng Li, Yidong Chai
Publikováno v:
Journal of Management Information Systems. 39:542-572
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93242b020310ddef928c3e6435e0a4c
https://doi.org/10.1080/07421222.2022.2063549
https://doi.org/10.1080/07421222.2022.2063549