Expertises
Economics, Econometrics and Finance
- Finance
- Machine Learning
- Specific Industry
- Credit
Computer Science
- Artificial Intelligence
- Machine Learning Algorithm
- Machine Learning Model
- Models
Organisaties
Publicaties
2026
A hybrid machine learning approach for customer valuation and decision-making in peer-to-peer lending (2026)Decision Analytics Journal, 18. Article 100679 (E-pub ahead of print/First online). Machado, M. R. & Karray, S.https://doi.org/10.1016/j.dajour.2026.100679Financing circularity strategies in critical raw materials supply chains: Toward a novel blended framework (2026)Resources Policy, 112. Article 105811. Xie, K., Machado, M. R., Spierdijk, L. & Yazan, D. M.https://doi.org/10.1016/j.resourpol.2025.105811
2025
AIOps for log anomaly detection in the era of LLMs: A systematic literature review (2025)Intelligent Systems with Applications, 28. Article 200608. De la Cruz Cabello, M., Prince Sales, T. & Machado, M. R.https://doi.org/10.1016/j.iswa.2025.200608Explaining to defend: SHAP-based defense mechanism against adversarial attacks in P2P credit risk (2025)Expert systems with applications, 301. Article 130432 (E-pub ahead of print/First online). Straus, J. V. D., Andreev, V. K., Koeleman, T., Sepanosian, T. & Machado, M. R.https://doi.org/10.1016/j.eswa.2025.130432Multi-modal document classification in AEC asset management (2025)Intelligent Systems with Applications, 29. Article 200609 (E-pub ahead of print/First online). Rademaker, F., Ahmed, F. & Machado, M. R.https://doi.org/10.1016/j.iswa.2025.200609Advancing credit risk assessment in the retail banking industry: A hybrid approach using time series and supervised learning models (2025)Data & knowledge engineering, 160. Article 102490. Goldmann, S. H., Machado, M. R. & Osterrieder, J. R.https://doi.org/10.1016/j.datak.2025.102490An analytical approach to credit risk assessment using machine learning models (2025)Decision Analytics Journal, 16. Article 100605. Machado, M. R., Chen, D. T. & Osterrieder, J. R.https://doi.org/10.1016/j.dajour.2025.100605Forecasting customers' risk-adjusted revenue: An explainable machine learning approach for the telecommunication industry (2025)Data-Driven Modelling, 1, 13-65. Firmansyah, E. B., Rebelo Moreira, J. L. & Machado, M. R.https://doi.org/10.1142/S3029101125500036A Retail-Corpus for Aspect-Based Sentiment Analysis with Large Language Models (2025)[Contribution to conference › Paper] 8th International Conference on Natural Language and Speech Processing, ICNLSP 2025. Silcenco, O., Machado, M. R., Ugulino, W. C. & Braun, D.https://aclanthology.org/2025.icnlsp-1.19.pdfAdvanced analytics to improve energy efficiency of steel industry - A systematic review on ladle logistics (2025)Cleaner Engineering and Technology, 25. Article 100907. Keshetti, A. R., Ruela, V. S. P., Chen, H. & Machado, M. R.https://doi.org/10.1016/j.clet.2025.100907
Onderzoeksprofielen
Verbonden aan opleidingen
Vakken collegejaar 2025/2026
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.
- 192399979 - Final Project BIT
- 194100040 - Master Thesis BA
- 194100060 - Master Thesis IE&M
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201500101 - Master Thesis Research Proposal
- 201500102 - Master Thesis Research Project
- 201500371 - Capita Selecta BIT
- 202000434 - BSc Research Assignment
- 202001051 - Research Project Core BIT
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202300106 - M12 Research Project TCS
- 202300242 - Business Process Management
- 202400101 - Bachelor Thesis IBA
- 202400371 - M12 Research Project Core BIT
- 202400724 - Business and Process Analytics Project
Vakken collegejaar 2024/2025
- 192399979 - Final Project BIT
- 194100040 - Master Thesis BA
- 194100060 - Master Thesis IE&M
- 194105070 - Inform.Syst f/t Fin. Services Industry
- 201300058 - Research Topics BIT
- 201300059 - Internship BIT
- 201500101 - Master Thesis Research Proposal
- 201500102 - Master Thesis Research Project
- 201500371 - Capita Selecta BIT
- 202000403 - Business Process Management
- 202000434 - BSc Research Assignment
- 202000576 - Research Proposal Bachelor Thesis IBA
- 202000579 - Bachelor Thesis IBA
- 202001051 - Research Project Core BIT
- 202001486 - Capita Selecta EngD (tailored assignm.)
- 202001521 - Capita Selecta EngD (external course)
- 202001522 - Capita Selecta EngD (in-company tr.)
- 202001613 - MSc Final Project BIT + CS
- 202200345 - Applications of AI in Business
- 202300002 - Enterprise Software for the Integration
- 202300106 - M12 Research Project TCS
- 202300242 - Business Process Management
- 202300363 - Internship BIT - CS
- 202400101 - Bachelor Thesis IBA
- 202400106 - Bachelor Thesis IBA, DD with Múnster
- 202400371 - M12 Research Project Core BIT
- 202400724 - Business and Process Analytics Project
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)

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

BuddyGPT
Voltooide projecten

COST Action - Fintech and AI in Finance

Erasmus: Blended Intensive Program (BIP) - Methods for Fintech and Artificial Intelligence in Finance
Adres

Universiteit Twente
Ravelijn (gebouwnr. 10), kamer 3105
Hallenweg 17
7522 NH Enschede
Universiteit Twente
Ravelijn 3105
Postbus 217
7500 AE Enschede