Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Jingping Bi"'
Publikováno v:
IEEE Access, Vol 11, Pp 97001-97013 (2023)
Trajectory outlier detection is a crucial task in trajectory data mining and has received significant attention. However, the distribution of trajectories is tied to social activities, resulting in extreme unevenness among regions. While existing met
Externí odkaz:
https://doaj.org/article/9ad5e82bb31445d299f2d4e1073066d0
Publikováno v:
Sensors, Vol 16, Iss 1, p 94 (2016)
Pocket switched networks (PSNs) take advantage of human mobility to deliver data. Investigations on real-world trace data indicate that human mobility shows an obvious spatial regularity: a human being usually visits a few places at high frequencies.
Externí odkaz:
https://doaj.org/article/4fa1f6f5ee804903b2874f161298c4c4
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b791a2ee383f02a4a32c1351c09a1053
https://doi.org/10.1145/3511808.3557250
https://doi.org/10.1145/3511808.3557250
Autor:
Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng
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_________::0e93ede32c32c70179ad9c6ec884833a
https://doi.org/10.1145/3534678.3539157
https://doi.org/10.1145/3534678.3539157
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a05ab655be6aa724d194c35803db7319
https://doi.org/10.1109/ijcnn55064.2022.9892161
https://doi.org/10.1109/ijcnn55064.2022.9892161
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031001222
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66dd796ad9caf82ffca3e59b06c5e76e
https://doi.org/10.1007/978-3-031-00123-9_57
https://doi.org/10.1007/978-3-031-00123-9_57
Multi-touch attribution (MTA), aiming to estimate the contribution of each advertisement touchpoint in conversion journeys, is essential for budget allocation and automatically advertising. Existing methods first train a model to predict the conversi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57c7abc8769c552cfe85c2e6bdf889e
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389971fb0f3c03eb6e7e577741d59d7d
https://doi.org/10.1109/bigdata52589.2021.9671305
https://doi.org/10.1109/bigdata52589.2021.9671305
Publikováno v:
IJCNN
Recently, a new methodology using generative adversarial network (GAN) has been proposed to produce adversarial examples, which breaks the limitations of the previous methods dependent on different norm-levels. It can efficiently generate perturbatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a55b68c658f2e991705e479a77c5dd9
https://doi.org/10.1109/ijcnn52387.2021.9533901
https://doi.org/10.1109/ijcnn52387.2021.9533901
Publikováno v:
IJCNN
Social media has became a critical manner for people to acquire information in daily life. Despite the great convenience, fake news can be widely spread through social networks, causing various adverse effects on people's lives. Detecting these fake
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda0e4b88a4c95c4c4b4456ce3fe8bc8
https://doi.org/10.1109/ijcnn52387.2021.9533433
https://doi.org/10.1109/ijcnn52387.2021.9533433