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An innovative machine learning workflow to research China’s systemic fnancial crisis with SHAP value and Shapley regression

Wang, Da; Zhou, YingXue - In: Financial innovation : FIN 10 (2024), pp. 1-40

This study proposed a cutting-edge, multistep workfow and upgraded it by addressing its faw of not considering how to determine the index system objectively. It then used the updated workfow to identify the probability of China's systemic fnancial crisis and analyzed the impact of macroeconomic...

Persistent link: https://www.econbiz.de/10014540605

Supply chain diffusion mechanisms for AI applications : a perspective on audit pricing

Wang, Jiaxin; Zhao, Mu; Huang, Xiang; Song, Zilong; Sun, Di - In: International review of financial analysis 93 (2024), pp. 1-14

Persistent link: https://www.econbiz.de/10014543391

Prediction of realized volatility and implied volatility indices using AI and machine learning : a review

Gunnarsson, Elias Søvik; Isern, Håkon Ramon; … - In: International review of financial analysis 93 (2024), pp. 1-20

Persistent link: https://www.econbiz.de/10014543698

Product knowledge graphs : creating a knowledge system for customer support

Przysucha, Bartosz; Kaleta, Paweł; Dmowski, Artur; … - In: European research studies 27 (2024), pp. 150-159

Persistent link: https://www.econbiz.de/10014543778

Analyzing credit spread changes using explainable artificial intelligence

Heger, Julia; Min, Aleksey; Zagst, Rudi - In: International review of financial analysis 94 (2024), pp. 1-17

Persistent link: https://www.econbiz.de/10014543984

Machine learning approach to identify performance audit topics for different government sectors

Aljanaby, Alaa; Abdel-Hafez, Ahmad; Xu, Yue; Rose, Tim - In: International journal of accounting, auditing and … 20 (2024) 3/4, pp. 437-451

Persistent link: https://www.econbiz.de/10014545210

An integrated machine learning and DEA-predefined performance outcome prediction framework with high-dimensional imbalanced data

Shi, Yu; Zhao, Wei - In: INFOR : information systems and operational research 62 (2024) 1, pp. 100-129

Persistent link: https://www.econbiz.de/10014545372

Determinants and performance outcomes of artificial intelligence adoption : evidence from U.S. Hospitals

Pham, Phuoc; Zhang, Huilan; Gao, Wenlian; Zhu, Xiaowei - In: Journal of business research : JBR 172 (2024), pp. 1-18

Persistent link: https://www.econbiz.de/10014546080

Quantifying the impact of energy consumption sources on GHG emissions in major economies : a machine learning approach

AlShafeey, Mutaz; Rashdan, Omar - In: Energy strategy reviews 49 (2023), pp. 1-11

This article aims to quantify the impact of different energy consumption sources on greenhouse gas (GHG) emissions for three major economies: the United States of America (USA), China, and the European Union (EU). To achieve this, energy consumption and GHG emissions data were obtained from "Our...

Persistent link: https://www.econbiz.de/10014546125

Machine learning based prediction of melt pool morphology in a laser-based powder bed fusion additive manufacturing process

Zhang, Zhibo; Sahu, Chandan Kumar; Singh, Shubhendu Kumar; … - In: International journal of production research 62 (2024) 5, pp. 1803-1817

Persistent link: https://www.econbiz.de/10014546305