Marcos Roberto Machado

According to our database, Marcos Roberto Machado authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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., March, 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

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

2022

Assessing credit risk of commercial customers using hybrid machine learning algorithms.

Marcos Roberto Machado, Salma Karray

Expert Syst. Appl., 2022

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

2019

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

Proceedings of the 14th International Conference on Computer Science & Education, 2019