Robotics & Machine Learning Daily News2024,Issue(Jan.26) :6-7.

New Artificial Intelligence Findings from Kafrelsheikh University Discussed (Toward Interpretable Credit Scoring: Integrating Explainable Artificial Intelligence With Deep Learning for Credit Card Default Prediction)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :6-7.

New Artificial Intelligence Findings from Kafrelsheikh University Discussed (Toward Interpretable Credit Scoring: Integrating Explainable Artificial Intelligence With Deep Learning for Credit Card Default Prediction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reportingoriginating from Kafr El-Shaikh, Egypt, by NewsRx correspondents, research stated, “In recent years, theincreasing prevalence of credit card usage has raised concerns about accurately predicting and managingcredit card defaults. While machine learning and deep learning methods have shown promising results indefault prediction, the black-box nature of these models often limits their interpretability and practicaladoption.”

Key words

Kafr El-Shaikh/Egypt/Africa/Artificial Intelligence/Emerging Technologies/Machine Learning/Kafrelsheikh University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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