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Marcos Machado · Study

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Marcos Machado

6 works· latest 2025· 2 institutionscluster: provisionalORCID 0000-0003-1056-2368

h-index6

i106

Citations449

Works here6

19

22

24

25

Most cited in this library

LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry2019 · 221 citations
Assessing credit risk of commercial customers using hybrid machine learning algorithms2022 · 130 citations
Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry2022 · 33 citations
An analytical approach to credit risk assessment using machine learning models2025 · 24 citations
How can Artificial Intelligence (AI) be used to manage Customer Lifetime Value (CLV)—A systematic literature review2024 · 21 citations

Works

6 shown

An analytical approach to credit risk assessment using machine learning models

Decision Analytics Journal·2025·3 authors·Open access

24citations

How can Artificial Intelligence (AI) be used to manage Customer Lifetime Value (CLV)—A systematic literature review

International Journal of Information Management Data Insights·2024·3 authors·review·Open access

21citations

How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review

International Journal of Information Management Data Insights·2024·2 authors·review·Open access

20citations

Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry

Electronic Commerce Research and Applications·2022·2 authors·Open access

33citations

Assessing credit risk of commercial customers using hybrid machine learning algorithms

Expert Systems with Applications·2022·2 authors

130citations

LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry

International Conference on Computer Science & Education (ICCSE)·2019·3 authors·other

221citations