Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Qiujun Lan"'
Autor:
RONGXIN XU1 rongxinx@acm.org, QIUJUN LAN2 lanqiujun@hnu.edu.cn, POKHREL, SHIVA RAJ3 shiva.pokhrel@deakin.edu.au, GANG LI4 gang.li@deakin.edu.au
Publikováno v:
ACM Computing Surveys. Feb2024, Vol. 56 Issue 2, p1-36. 36p.
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2410 (2024)
Credit risk refers to the possibility of borrower default, and its assessment is crucial for maintaining financial stability. However, the journey of credit risk data generation is often gradual, and machine learning techniques may not be readily app
Externí odkaz:
https://doaj.org/article/ad87627feeae4d7b9c67bf40a443b5ec
Publikováno v:
Cybersecurity, Vol 2, Iss 1, Pp 1-9 (2019)
Abstract Blockchain technology ensures that data is tamper-proof, traceable, and trustworthy. This article introduces a well-known blockchain technology implementation—Hyperledger Fabric. The basic framework and privacy protection mechanisms of Hyp
Externí odkaz:
https://doaj.org/article/7ad80a97a1c34263a18ee013e14e10a2
Publikováno v:
Proceedings of the 2022 5th International Conference on Blockchain Technology and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8405de725170604855a44172474cbdd9
https://doi.org/10.1145/3581971.3581994
https://doi.org/10.1145/3581971.3581994
Publikováno v:
Expert Systems with Applications. 223:119844
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40899f5cad3da8689528d554afee3347
https://doi.org/10.1016/j.eswa.2023.119844
https://doi.org/10.1016/j.eswa.2023.119844
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0201916 (2018)
Predicting and analyzing behaviors of investors is of great value to financial institutions. This paper uses survey data from about 9,000 individual investors across China to explore the predictability of decision behaviors by studying demographic ch
Externí odkaz:
https://doaj.org/article/2e1bd73174a64bf4af3bfb36d365df08
Publikováno v:
Information Technology and Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9009e929ba17e03128fe3dd604ecba63
https://doi.org/10.1007/s10799-022-00378-4
https://doi.org/10.1007/s10799-022-00378-4
Publikováno v:
Proceedings of the 51st International Conference on Parallel Processing.
Vanilla Federated learning (FL) relies on the centralized global aggregation mechanism and assumes that all clients are honest. This makes it a challenge for FL to alleviate the single point of failure and dishonest clients. These impending challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ccdd763154af18a5fc7e52ea5f5995b
https://doi.org/10.1145/3545008.3545040
https://doi.org/10.1145/3545008.3545040
Publikováno v:
Expert Systems with Applications. 218:119585
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::270a90a50e7e5e1f96152669c41df85d
https://doi.org/10.1016/j.eswa.2023.119585
https://doi.org/10.1016/j.eswa.2023.119585
Autor:
Qiujun Lan, Shan Jiang
Publikováno v:
Applied Intelligence. 51:6859-6880
Missing data is a common problem in credit evaluation practice and can obstruct the development and application of an evaluation model. Block-wise missing data is a particularly troublesome issue. Based on multi-task feature selection approach, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b3919d406be710b1101102e8a4dfa28
https://doi.org/10.1007/s10489-021-02225-5
https://doi.org/10.1007/s10489-021-02225-5