Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Roy Ka-Wei Lee"'
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-10
Hate speech in social media is a growing phenomenon, and detecting such toxic content has recently gained significant traction in the research community. Existing studies have explored fine-tuning language models (LMs) to perform hate speech detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1483310313da22d60b9c7a97a8e293fd
https://doi.org/10.1109/tcss.2023.3252401
https://doi.org/10.1109/tcss.2023.3252401
Autor:
Logan Markewich, Hao Zhang, Yubin Xing, Navid Lambert-Shirzad, Zhexin Jiang, Roy Ka-Wei Lee, Zhi Li, Seok-Bum Ko
Publikováno v:
International Journal on Document Analysis and Recognition (IJDAR). 25:67-77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e057bd0d87bd0509db67a88d1e0d7977
https://doi.org/10.1007/s10032-021-00391-3
https://doi.org/10.1007/s10032-021-00391-3
Autor:
Bo Liu, Xiangguo Sun, Qing Meng, Xinyan Yang, Yang Lee, Jiuxin Cao, Junzhou Luo, Roy Ka-Wei Lee
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Online rumor detection is crucial for a healthier online environment. Traditional methods mainly rely on content understanding. However, these contents can be easily adjusted to avoid such supervision and are insufficient to improve the detection res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe9c9a53d5a0f2e3a527a83cb044e36
https://doi.org/10.1109/tnnls.2022.3161697
https://doi.org/10.1109/tnnls.2022.3161697
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a96784a292c9bf95be2c8fe70e8079
https://doi.org/10.1109/tai.2022.3205567
https://doi.org/10.1109/tai.2022.3205567
Autor:
Qing Meng, Bo Liu, Xiangguo Sun, Hui Yan, Chengyu Liang, Jiuxin Cao, Roy Ka-Wei Lee, Xing Bao
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7058bd18d562109071cc32b148d9dcef
https://doi.org/10.1109/tcss.2022.3207479
https://doi.org/10.1109/tcss.2022.3207479
Autor:
Keyu Chen, Ashley Feng, Rohan Aanegola, Koustuv Saha, Allie Wong, Zach Schwitzky, Roy Ka-Wei Lee, Robin O’Hanlon, Munmun De Choudhury, Frederick L. Altice, Kaveh Khoshnood, Navin Kumar
Publikováno v:
Computational Data and Social Networks ISBN: 9783031263026
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::008c9c595ef0982f467f9eb9624f89a1
https://doi.org/10.1007/978-3-031-26303-3_3
https://doi.org/10.1007/978-3-031-26303-3_3
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863f6617341ee85a679bad241d833724
https://doi.org/10.1109/bigdata55660.2022.10021113
https://doi.org/10.1109/bigdata55660.2022.10021113
Publikováno v:
14th ACM Web Science Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::415f859fc26965751519f61fb00182bb
https://doi.org/10.1145/3501247.3531557
https://doi.org/10.1145/3501247.3531557
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:70-84
Finding influential users in online social networks (OSNs) is an important problem with many possible useful applications. Many methods have been proposed to identify influential users in OSNs. PageRank and HITs are two well known examples that deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b23482759407148a97389d0e0860be83
https://doi.org/10.1109/tkde.2019.2922962
https://doi.org/10.1109/tkde.2019.2922962
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2fdd21ffa3917ef17b3733f843351e7
https://doi.org/10.2139/ssrn.4198834
https://doi.org/10.2139/ssrn.4198834