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Muhammad Aqeel

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Open access Aug 2026

Deep Learning for Corporate Governance: Predicting Financial Distress and Fraud Using Transformer-Based Models on Board Networks

A robust set of predictors of financial distress and fraud based on transformer-based designs of the board network data are provided and the application of algorithmic governance based on the use of deep learning can improve transparency, reduce agency risks, and give regulators decision-support systems to conduct acti...

Muhammad Usman Malik, Maarij Ahmed Siddiqui, Sohail Naseer et al. · 0 citations

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