Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Sihong Xie"'
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
Graph neural networks (GNNs) have gained significant attention in diverse domains, ranging from urban planning to pandemic management. Ensuring both accuracy and robustness in GNNs remains a challenge due to insufficient quality data that contains su
Externí odkaz:
https://doaj.org/article/e30db3d7907e4c898c76fd00458aee24
Publikováno v:
IEEE Access, Vol 9, Pp 119712-119721 (2021)
Individual differences between various riders cause risky riding behaviors such as violations, taking the lead, negligence and error, and pushing the limits, resulting in a high incidence and high number of road accidents for the vulnerable road use
Externí odkaz:
https://doaj.org/article/a383718f879a4ed186646c05a2f3ce08
Autor:
Hong Chen, Sihong Xie, Jing Gao, Liwen He, Wenping Luo, Yunhao Tang, Michael D. Weir, Thomas W. Oates, Hockin H. K. Xu, Deqin Yang
Publikováno v:
International Journal of Molecular Sciences, Vol 23, Iss 18, p 10593 (2022)
The objectives of this study were to investigate the effects of a novel method using flavonoids to inhibit Streptococcus mutans (S. mutans), Candida albicans (C. albicans) and dual-species biofilms and to protect enamel hardness in a biofilm-based ca
Externí odkaz:
https://doaj.org/article/5190491959ba402098f2f9b53080158f
Publikováno v:
Tehnički Vjesnik, Vol 25, Iss 2, Pp 510-518 (2018)
Frequent episode discovery is introduced to mine useful and interesting temporal patterns from sequential data. The existing episode mining methods mainly focused on mining from a single long sequence consisting of events with time constraints. Howev
Externí odkaz:
https://doaj.org/article/46c714b12c70452bb58635cf0566c349
Rumor spreaders are increasingly utilizing multimedia content to attract the attention and trust of news consumers. Though quite a few rumor detection models have exploited the multi-modal data, they seldom consider the inconsistent semantics between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a007c3dc03acc98443671c016d96a708
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b048ab26ee08e2a360ab99fc3b623154
https://doi.org/10.1109/bigdata55660.2022.10020318
https://doi.org/10.1109/bigdata55660.2022.10020318
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0b9a2a51f17dc5c540c5593dbf81c5e
https://doi.org/10.1109/bigdata55660.2022.10020909
https://doi.org/10.1109/bigdata55660.2022.10020909
Publikováno v:
2022 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7dad2049516d206057b9e087bb4d219
https://doi.org/10.1109/bdcat56447.2022.00041
https://doi.org/10.1109/bdcat56447.2022.00041
Autor:
Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bea9a2affe9a5992547c6ba8f1cfd8cd
https://doi.org/10.1145/3534678.3542898
https://doi.org/10.1145/3534678.3542898
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Annotation quality and quantity positively affect the learning performance of sequence labeling, a vital task in Natural Language Processing. Hiring domain experts to annotate a corpus is very costly in terms of money and time. Crowdsourcing platform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e83156af50d55075792291d84bae2e2
https://doi.org/10.1109/icdm51629.2021.00065
https://doi.org/10.1109/icdm51629.2021.00065