Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ruan, Jianfei"'
Graph Neural Networks (GNNs) have been widely employed for semi-supervised node classification tasks on graphs. However, the performance of GNNs is significantly affected by label noise, that is, a small amount of incorrectly labeled nodes can substa
Externí odkaz:
http://arxiv.org/abs/2411.11020
In noisy label learning, estimating noisy class posteriors plays a fundamental role for developing consistent classifiers, as it forms the basis for estimating clean class posteriors and the transition matrix. Existing methods typically learn noisy c
Externí odkaz:
http://arxiv.org/abs/2405.05714
Publikováno v:
In Knowledge-Based Systems 21 June 2022 246
Publikováno v:
In Information Sciences March 2019 477:508-532
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems; February 2024, Vol. 35 Issue: 2 p2616-2627, 12p
Akademický článek
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Publikováno v:
IEEE BigData
Tax evasion refers to the illegal act of taxpayers using deception and concealment to avoid paying taxes. How to detect tax evasion effectively is always an important topic for the government and academic researchers. Recent research has proposed usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0360f7ba67eefd5d31302a0514a5cd
https://doi.org/10.1109/bigdata50022.2020.9378157
https://doi.org/10.1109/bigdata50022.2020.9378157
Publikováno v:
IEEE BigData
Accurate industry classification of national economic activities as an important component in the construction of economic structure and as the basis of the formulation of economic policies and management of national economic activities has been gain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9100cb3933e87b87cf73f319ceca469b
https://doi.org/10.1109/bigdata47090.2019.9006526
https://doi.org/10.1109/bigdata47090.2019.9006526
Publikováno v:
IEEE BigData
The identification of tax evasion plays an important role in ensuring tax order, promoting the level of tax collection and management, and reducing tax losses. With the advancements in data mining technology, many machine learning techniques have yie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbccb0c7ac114af4f538f0cd3ddead72
https://doi.org/10.1109/bigdata47090.2019.9005656
https://doi.org/10.1109/bigdata47090.2019.9005656
Publikováno v:
IJCAI
In this demonstration, we present ATTENet, a novel visual analytic system for detecting and explaining suspicious affiliated-transaction-based tax evasion (ATTE) groups. First, the system constructs a taxpayer interest interacted network, which conta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::648abaa18ba7ba396ef2ff6dae52c188
https://doi.org/10.24963/ijcai.2019/964
https://doi.org/10.24963/ijcai.2019/964