In credit scoring, data often has class-imbalanced problems. However, traditional cost-sensitive learning methods rarely consider the varying costs among samples. Moreover, previous studies have ...
High-performance optimization algorithms are essential in deep learning. However, understanding the behavior of optimization (i.e., learning process) remains challenging due to the instability and ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
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