APA (7th ed.) Citation

Neupane, K., & Griva, I. (2025). An extreme Gradient Boosting (XGBoost) Trees approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions.

Chicago Style (17th ed.) Citation

Neupane, Krishna, and Igor Griva. An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions. 2025.

MLA (9th ed.) Citation

Neupane, Krishna, and Igor Griva. An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions. 2025.

Warning: These citations may not always be 100% accurate.