Training neural networks require sizeable datasets for meaningful output. It is difficult to acquire large datasets for many types of data. This is especially challenging for individuals and small organizations. We have ...

Organizational ambidexterity is a corporate strategy where a firm simultaneously seeks to pursue exploration and exploitation (March, 1991). Despite being described as one of the most interesting subjects in strategy ...

Many domain specific machine learning tasks require more fine tuning with respect to nondecomposable metrics to be effective. In many applications such as medical diagnosis and fraud detection, traditional loss measures ...

Accounting conservatism reflects the judgment and potential bias allowed per accrual-based accounting by choosing to disclose bad news ahead of holding a higher bar for reporting good news. Financial reporting aggressiveness ...