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Akademický článek

Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer

Autor: Zhida Shang, Hefeng Meng, Yibowen Zhao, Ronghua Xu, Yonghui Xu, Lizhen Cui

Publikováno v: International Journal of Crowd Science, Vol 7, Iss 3, Pp 106-112 (2023)

The evaluation and prediction of credit risk have always been a research hotspot to ensure the healthy and orderly development of the credit market. Most researchers use deep learning to predict credit risk. However, when training data are too small,

Externí odkaz: https://doaj.org/article/fdab83ef52124d2eb19ac12a21c68a26

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Knowledge Distillation In Medical Data Mining: A Survey

Autor: Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui

Publikováno v: 5th International Conference on Crowd Science and Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ae34c66b8cb1f46afdbba54d10763570
https://doi.org/10.1145/3503181.3503211

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A Survey on Knowledge Enhanced EHR Data Mining

Autor: Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui

Publikováno v: 5th International Conference on Crowd Science and Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f238f0105bfcf679dbe82b9d2938aeb2
https://doi.org/10.1145/3503181.3503202

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Credit Default Prediction via Explainable Ensemble Learning

Autor: Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin

Publikováno v: 5th International Conference on Crowd Science and Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48a8261783a5dcadbc5e3dc43507a9ff
https://doi.org/10.1145/3503181.3503195

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