Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marui Du"'
Autor:
Marui Du, Zuoquan Zhang
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 2, Pp 545-554 (2023)
As the application scope of machine learning expands, studies of credit risk measurement have also witnessed extensive development. An increasing number of studies showed that models based on machine learning algorithms could be used as a substantive
Externí odkaz:
https://doaj.org/article/d7682b59676a462986dfb6a22cfa2b65
Autor:
Marui DU, Zuoquan ZHANG
Publikováno v:
Studies in Informatics and Control. 31:67-77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffc85064462daa0a8b76c5949feeeb6b
https://doi.org/10.24846/v31i4y202207
https://doi.org/10.24846/v31i4y202207
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-14
Nowadays, small and medium-sized enterprises (SMEs) have become an essential part of the national economy. With the increasing number of such enterprises, how to evaluate their credit risk becomes a hot issue. Unlike big enterprises with massive data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd91e9a5d6b65d83fce9650a08d2443
https://doi.org/10.1155/2022/1783445
https://doi.org/10.1155/2022/1783445
Publikováno v:
Neural Processing Letters. 54:1175-1194
An effective financial distress prediction model is essential, as financial distress of listed companies will cause big problems for listed company owners, shareholders, banks, and regulators. Due to the special circumstances of China, Chinese listed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae3d7c889d75d376809d651628d5363d
https://doi.org/10.1007/s11063-021-10674-9
https://doi.org/10.1007/s11063-021-10674-9
Publikováno v:
Computational intelligence and neuroscience. 2022
In recent years, there has been increasing interest in exploring diversified features to measure small and medium-sized enterprises (SMEs) credit risk. Path-based features, revealing logical connections between SMEs, are widely adopted as informative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4e0a009bce8e38227cea05dc29f4c68
https://pubmed.ncbi.nlm.nih.gov/35586103
https://pubmed.ncbi.nlm.nih.gov/35586103
Publikováno v:
Applied Intelligence. 51:3899-3916
With the expansion of data size and data dimension, feature selection attracts more and more attention. In this paper, we propose a novel feature selection algorithm, namely, Hybrid filter and Symmetrical Complementary Coefficient based Multi-Objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b22acdf6370a5dcbfaf4c3a903adee5d
https://doi.org/10.1007/s10489-020-02028-0
https://doi.org/10.1007/s10489-020-02028-0
Publikováno v:
2021 5th International Conference on Computer Science and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a84486c6dbf632cbc8de45622c14b8d
https://doi.org/10.1145/3507548.3507593
https://doi.org/10.1145/3507548.3507593
Publikováno v:
2018 7th International Conference on Digital Home (ICDH).
With the development of Chinese financial market, more and more investors paid attention to the stock market. How to analysis stock scientifically is a crutial issue that investors should consider. In order to do stock selection, the financial indica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b138285b4c9b5f71b2d2f5b81270aaea
https://doi.org/10.1109/icdh.2018.00043
https://doi.org/10.1109/icdh.2018.00043