| LightGBM: An effective decision tree gradient boosting method to predict customer loyalty in the finance industry MR Machado, S Karray, IT De Sousa 2019 14th International Conference on Computer Science & Education (ICCSE …, 2019 | 121 | 2019 |
| Assessing credit risk of commercial customers using hybrid machine learning algorithms MR Machado, S Karray Expert Systems with Applications 200, 116889, 2022 | 51 | 2022 |
| Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry MR Machado, S Karray Electronic Commerce Research and Applications 56, 101202, 2022 | 8 | 2022 |
| An agent-based model applied to Brazilian wind energy auctions MR Machado, MK Fujii, C de Oliveira Ribeiro, EE Rego IEEE Latin America Transactions 17 (05), 865-874, 2019 | 5 | 2019 |
| Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information EP Medeiros, MR Machado, EDG de Freitas, DS da Silva, RWR de Souza Expert Systems with Applications 238, 122029, 2024 | 4 | 2024 |
| An Overview-Stress Test Designs for the Evaluation of AI and ML Models Under Shifting Financial Conditions to Improve the Robustness of Models J Osterrieder, V Arakelian, IF Coita, B Hadji-Misheva, A Kabasinskas, ... Available at SSRN 4634266, 2023 | 2 | 2023 |
| Integrating Customer Portfolio Theory and the Multiple Sources of Risk Approaches to Model Risk-Adjusted Revenue MR Machado, S Karray IFAC-PapersOnLine 55, 356-363, 2022 | 1 | 2022 |
| How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review A Amato, JR Osterrieder, MR Machado International Journal of Information Management Data Insights 4 (2), 100234, 2024 | | 2024 |
| Integrating Early Warning Systems with Customer Segmentation: An Information Management Approach to Identifying Business Opportunities for Commercial Customers in the Financial … M Machado, J Osterrieder, A Amato Available at SSRN 4779632, 2024 | | 2024 |
| Forecasting Commercial Customers Credit Risk Through Early Warning Signals Data: A Machine Learning based Approach M Machado, J Osterrieder, D Chen Available at SSRN 4754568, 2024 | | 2024 |
| How can Consumers Without Credit History Benefit from the Use of Information Processing and Machine Learning Tools by Financial Institutions? M Machado, J Osterrieder, B van Braak Available at SSRN 4730445, 2024 | | 2024 |
| Predicting Retail Customers' Distress: Early Warning Systems and Machine Learning Applications J Beltman, J Osterrieder, M Machado Available at SSRN 4730470, 2024 | | 2024 |
| Modeling Commodity Price Co-Movement: Building on Traditional Methods & Exploring Applications of Machine Learning Models L Kozian, J Osterrieder, M Machado Available at SSRN 4730474, 2024 | | 2024 |
| Integration of Early Warning Systems and Customer Segmentation Methods in the Financial Industry-A Systematic Literature Review A Amato, J Osterrieder, M Machado Available at SSRN 4730479, 2023 | | 2023 |
| Challenge-Based Learning And Constructive Alignment: A Challenge For Information Systems’ Educators J Moreira, W Ugulino, MR Machado, PL Ferreira European Society for Engineering Education (SEFI), 2023 | | 2023 |
| Digital Finance: Reaching New Frontiers J Osterrieder, BH Misheva, M Machado Open Research Europe 3, 2023 | | 2023 |
| Process optimization during contracting in Real Estate - A case study JC Olimpio, MR Machado LARES 18 (1), 1-17, 2018 | | 2018 |
| Análise da qualidade de investimento em um FII: um estudo de caso MR Machado, MR Crespo, AC da Rocha, C de Oliveira Ribeiro I Prêmio Lares Abecip Secovi-SP : soluções para o mercado e crédito …, 2016 | | 2016 |
Salma KarrayUniversity of Ontario Institute of TechnologyVerified email at ontariotechu.ca
