dr. M.R. Machado (Marcos)

Universitair docent
BMS-HBE-IEBIS
Ravelijn 3105
m.r.machado@utwente.nl
+31534899045
Visitekaartje

Expertises

  • Computer Science

    • Machine Learning Algorithm
    • Models
    • Financial Industry

  • Economics, Econometrics and Finance

    • Finance
    • Specific Industry

  • Social Sciences

    • Approach
    • Customer
    • Revenue

Organisaties

Publicaties

2024
Applications of machine learning algorithms to support COVID-19 diagnosis using X-rays data information, Article 122029. Medeiros, E. P., Machado, M. R., de Freitas, E. D. G., da Silva, D. S. & de Souza, R. W. R.https://doi.org/10.1016/j.eswa.2023.122029
2023
Digital Finance: Reaching New Frontiers, Article 38. Osterrieder, J., Hadji Misheva, B. & Machado, M.https://doi.org/10.12688/openreseurope.15386.1Challenge-Based Learning and Constructive Alignment: A Challenge for Information Systems' EducatorsIn SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (pp. 2517-2526). Societe Europeenne pour la Formation des Ingenieurs (SEFI). Moreira, J., Ugulino, W., Machado, M. R. & Pires, L. F.https://doi.org/10.21427/V8GC-C794
2022
Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry, Article 101202. Machado, M. R. & Karray, S.https://doi.org/10.1016/j.elerap.2022.101202Integrating Customer Portfolio Theory and the Multiple Sources of Risk Approaches to Model Risk-Adjusted Revenue, 356-363. Machado, M. R. & Karray, S.https://doi.org/10.1016/j.ifacol.2022.09.050Assessing credit risk of commercial customers using hybrid machine learning algorithms, Article 116889. Machado, M. R. & Karray, S.https://doi.org/10.1016/j.eswa.2022.116889
2019
LightGBM: An effective decision tree gradient boosting method to predict customer loyalty in the finance industryIn 14th International Conference on Computer Science and Education, ICCSE 2019, Article 8845529 (pp. 1111-1116). IEEE. Machado, M. R., Karray, S. & De Sousa, I. T.https://doi.org/10.1109/ICCSE.2019.8845529

Onderzoeksprofielen

Verbonden aan opleidingen

Vakken collegejaar 2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2022/2023

Lopende projecten

Kickstart AI: Artificial Intelligence (AI) in Finance

Sustainable Circular Economy Transition: from Industrial Symbiosis to Hubs for Circularity (IS2H4C)

Circular Economy Platform Twente (CEP Twente)

COST Action - Fintech and AI in Finance

Marie Sklodowska-Curie Action Industrial Doctoral Network on Digital Finance (MSCA Digital Finance)

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