1. Financial Fraud Detection Based on Machine Learning;Abdulalem Ali;A Systematic Literature Review. Appl. Sci,2022
2. Niek Tax Kees Vries Jong Mathijs de. Jong Nikoleta Dosoula Bram D. Akker Jon Smith Olivier Thoung and Lucas Bernardi. 2021. Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. ArXiv abs/2107.01979. Niek Tax Kees Vries Jong Mathijs de. Jong Nikoleta Dosoula Bram D. Akker Jon Smith Olivier Thoung and Lucas Bernardi. 2021. Machine Learning for Fraud Detection in E-Commerce: A Research Agenda. ArXiv abs/2107.01979.
3. Optimizing Fraudulent Firm Prediction Using Ensemble Machine Learning: A Case Study of an External Audit
4. Yousef K. Qawqzeh , Abdullah S. Bajahzar , Mahdi Jemmali , Mohammad Otoom , and Adel Thaljaoui . 2020. Classification of diabetes using photoplethysmogram (PPG) waveform analysis: logistic regression modeling. BioMed Research International , vol. 2020 , Article ID 3764653, 6 pages, 2020 . Yousef K. Qawqzeh, Abdullah S. Bajahzar, Mahdi Jemmali, Mohammad Otoom, and Adel Thaljaoui. 2020. Classification of diabetes using photoplethysmogram (PPG) waveform analysis: logistic regression modeling. BioMed Research International, vol. 2020, Article ID 3764653, 6 pages, 2020.
5. Yousef K. Qawqzeh , Mohammad Otoom , and Fayez Al-Fayez . 2019. A proposed decision tree classifier for atherosclerosis prediction and classification. IJCSNS , vol. 19 , no. 12, p. 197, 2019. Yousef K. Qawqzeh, Mohammad Otoom, and Fayez Al-Fayez. 2019. A proposed decision tree classifier for atherosclerosis prediction and classification. IJCSNS, vol. 19, no. 12, p. 197, 2019.