[HTML][HTML] Designing a feature selection method based on explainable artificial intelligence

J Zacharias, M von Zahn, J Chen, O Hinz - Electronic Markets, 2022 - Springer
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

Designing a feature selection method based on explainable artificial intelligence

J Zacharias, M Zahn, J Chen, O Hinz - Electronic Markets, 2022 - ideas.repec.org
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

[PDF][PDF] Designing a feature selection method based on explainable artificial intelligence

J Zacharias, M von Zahn, J Chen, O Hinz - Electronic Markets, 2022 - d-nb.info
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

Designing a feature selection method based on explainable artificial intelligence

J Zacharias, M Zahn, J Chen, O Hinz - Electronic Markets, 2022 - econpapers.repec.org
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

Designing a feature selection method based on explainable artificial intelligence

J Zacharias, M von Zahn, J Chen, O Hinz - Electronic Markets, 2022 - search.proquest.com
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …