Marcos Roberto Machado

According to our database, Marcos Roberto Machado authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multi-modal document classification in AEC asset management.

Floor Rademaker, Faizan Ahmed, Marcos Roberto Machado

Intell. Syst. Appl., 2026

Anatomy of peer-to-peer (P2P) lending fraud: A review with managerial implications.

Marcos Roberto Machado, Ioana Florina Coita, Lucia Gomez, Karsten Wenzlaff, Wouter van Heeswijk, Frédérik Sinan Bernard, Marius Vlad Pop, Jörg Osterrieder

Int. J. Inf. Manag. Data Insights, 2026

Leveraging early warning systems and customer segmentation to identify business opportunities in the financial industry.

Alessandra Amato, Marcos Roberto Machado, João Luiz Rebelo Moreira

Int. J. Inf. Manag. Data Insights, 2026

How can the integration of AI large language models and knowledge graph enhance fault diagnosis? A systematic literature review.

Wan Barmawi Muhammad Razaq, Hao Chen, Marcos Roberto Machado, João Luiz Rebelo Moreira

Appl. Soft Comput., 2026

Curriculum Cartographer: LLM-Assisted Curriculum Alignment from Raw Teaching Artifacts.

Nacir Bouali, Faizan Ahmed, Marcos Roberto Machado

Proceedings of the 18th International Conference on Computer Supported Education, 2026

2025

AIOps for log anomaly detection in the era of LLMs: A systematic literature review.

Miguel De la Cruz Cabello, Tiago Prince Sales, Marcos Roberto Machado

Intell. Syst. Appl., 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

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

A Retail-Corpus for Aspect-Based Sentiment Analysis with Large Language Models.

Oleg Silcenco, Marcos Roberto Machado, Wallace C. Ugulino, Daniel Braun

Proceedings of the 8th International Conference on Natural Language and Speech Processing, 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 (AI) be used to manage Customer Lifetime Value (CLV) - A systematic literature review.

Edo Belva Firmansyah, Marcos Roberto Machado, João Luiz Rebelo Moreira

Int. J. Inf. Manag. Data Insights, 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

Knowledge Representation of Time Series Data: A Comparison Analysis of Standardized Ontologies.

João Moreira, Cornelis Bouter, Laura Daniele, Mateus Rocha, Marcos Roberto Machado

Proceedings of the Joint Proceedings of Posters, 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