LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry. - Marcos Roberto Machado; Salma Karray; Ivaldo Tributino de Sousa (ICCSE, 2019)

Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry. - Marcos Roberto Machado; Salma Karray (Electron. Commer. Res. Appl., 2022)

Assessing credit risk of commercial customers using hybrid machine learning algorithms. - Marcos Roberto Machado; Salma Karray (Expert Syst. Appl., 2022)

Green AI in the finance industry: Exploring the impact of feature engineering on the accuracy and computational time of Machine Learning models. - Marcos Roberto Machado; Amin Asadi; Renato William R. de Souza; Wallace C. Ugulino (Appl. Soft Comput., 2024)

How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review. - Alessandra Amato; Jörg Osterrieder; Marcos Roberto Machado (Int. J. Inf. Manag. Data Insights, 2024)

Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information. - Elias P. Medeiros; Marcos Roberto Machado; Emannuel Diego G. de Freitas; Daniel Santos da Silva; Renato William R. de Souza (Expert Syst. Appl., 2024)

Advancing credit risk assessment in the retail banking industry: A hybrid approach using time series and supervised learning models. - Sebastian H. Goldmann; Marcos Roberto Machado; Jörg Osterrieder (Data Knowl. Eng., 2025)

How can consumers without credit history benefit from the use of information processing and machine learning tools by financial institutions? - Bjorn van Braak; Jörg Osterrieder; Marcos Roberto Machado (Inf. Process. Manag., 2025)