基本信息
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个人简介
Sunghyon Kyeong received the M.S. degrees in physics and the Ph.D. degree in medical science from Yonsei University, Seoul, Republic of Korea, in February 2009 and February 2016, respectively. He has published more than 50 peer-reviewed international journals in the fields of artificial intelligence and machine learning. With a strong background in both physics and medical science, his research interests include the development of explainable machine learning models and fraud detection models. He has contributed to several healthcare and finance-related projects throughout his career. One of his notable contributions to the field is the development of an explainable credit scoring model, which has been successfully applied in the finance industry. He continues to conduct cutting-edge research and development in the financial and healthcare domains, seeking new, and innovative ways to apply artificial intelligence and data analytics to benefit our society.
研究兴趣
论文共 215 篇作者统计合作学者相似作者
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期刊级别
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IEEE ACCESS (2023): 88278-88294
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2022)
Journal of Big Datano. 1 (2022): 1-20
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作者统计
#Papers: 215
#Citation: 7292
H-Index: 40
G-Index: 79
Sociability: 8
Diversity: 2
Activity: 6
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