All Stories

  1. Open data, private learners: a de-identified student activity and performance dataset for learning analytics

    Article • Scientific Data, February 2026, Springer Science + Business Media

    Monique Snoeck, Bart Baesens

  2. Anticipating delays in recruitment: Explainable machine learning for the prediction of hard-to-fill online job vacancies

    Article • European Journal of Operational Research, January 2026, Elsevier

    Bart Baesens

  3. Collaborative governance of cyber violence: A two-phase, multi-scenario four-party evolutionary game and SB

    Article • Information Processing & Management, November 2025, Elsevier

    Bart Baesens

  4. Network Analytics for Anti-money Laundering—A Systematic Literature Review and Experimental Evaluation

    Article • INFORMS Journal on Data Science, October 2025, INFORMS

    Bart Baesens

  5. Advances in Continual Graph Learning for Anti‐Money Laundering Systems: A Comprehensive Review

    Article • Wiley Interdisciplinary Reviews Computational Statistics, August 2025, Wiley

    Bart Baesens

  6. Boosting credit risk models

    Article • The British Accounting Review, July 2025, Elsevier

    Bart Baesens

  7. Enhancing explainability in real-world scenarios: Towards a robust stability measure for local interpretability

    Article • Expert Systems with Applications, May 2025, Elsevier

    Bart Baesens

  8. Boosting Credit Risk Data Quality Using Machine Learning and eXplainable AI Techniques

    Article • January 2025, Springer Science + Business Media

    Monique Snoeck, Bart Baesens

  9. IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk

    Article • January 2025, Springer Science + Business Media

    Monique Snoeck, Bart Baesens

  10. Learning Analytics Dashboard with Peer Comparison for Student Feedback in Conceptual Modeling Education

    Article • January 2025, Springer Science + Business Media

    Monique Snoeck, Bart Baesens

  11. Code and Data for "Network Analytics for Anti-money Laundering—A Systematic Literature Review and Experimental Evaluation"

    Article • INFORMS Journal on Data Science, January 2025, INFORMS

    Bart Baesens

  12. Evaluating text classification: A benchmark study

    Article • Expert Systems with Applications, November 2024, Elsevier

    Bart Baesens

  13. Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

    Article • European Journal of Operational Research, September 2024, Elsevier

    Bart Baesens

  14. Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI

    Article • Decision Support Systems, July 2024, Elsevier

    Monique Snoeck, Bart Baesens

  15. Computational Efficient Approximations of the Concordance Probability in a Big Data Setting

    Article • Big Data, June 2024, SAGE Publications

    Bart Baesens

  16. Network analytics for insurance fraud detection: a critical case study

    Article • European Actuarial Journal, May 2024, Springer Science + Business Media

    Bart Baesens

  17. Interpretable and Accurate Identification of Job Seekers at Risk of Long-Term Unemployment: Explainable ML-Based Profiling

    Article • SN Computer Science, May 2024, Springer Science + Business Media

    Bart Baesens

  18. Harnessing the power of transformers and data fusion in smart irrigation

    Article • Applied Soft Computing, February 2024, Elsevier

    Bart Baesens

  19. INFLECT-DGNN: Influencer Prediction With Dynamic Graph Neural Networks

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Monique Snoeck, Bart Baesens

  20. Explainable Deep Learning to Classify Royal Navy Ships

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Bart Baesens

  21. How to improve prediction using behavior modification?

    Article • International Journal of Forecasting, April 2023, Elsevier

    Bart Baesens

  22. Topic modelling applied on innovation studies of Flemish companies

    Article • Journal of Business Analytics, March 2023, Taylor & Francis

    Bart Baesens

  23. Fraud analytics: a research

    Article • Journal of Chinese Economic and Business Studies, January 2023, Taylor & Francis

    Bart Baesens

  24. CATCHM: A novel network-based credit card fraud detection method using node representation learning

    Article • Decision Support Systems, January 2023, Elsevier

    Bart Baesens

  25. Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs

    Article • November 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Bart Baesens

  26. Comparison of Different Modeling Techniques for Flemish Twitter Sentiment Analysis

    Article • Analytics, October 2022, MDPI AG

    Bart Baesens

  27. Benchmarking Conventional Outlier Detection Methods

    Article • January 2022, Springer Science + Business Media

    Monique Snoeck, Bart Baesens

  28. tcc2vec: RFM-informed representation learning on call graphs for churn prediction

    Article • Information Sciences, May 2021, Elsevier

    Bart Baesens

  29. Predicting take-up of home loan offers using tree-based ensemble models: A South African case study

    Article • South African Journal of Science, January 2021, Academy of Science of South Africa

    Bart Baesens

  30. Profit driven decision trees for churn prediction

    Article • European Journal of Operational Research, August 2020, Elsevier

    Bart Baesens

  31. A multi-objective approach for profit-driven feature selection in credit scoring

    Article • Decision Support Systems, May 2019, Elsevier

    Bart Baesens

  32. Swipe and Tell

    Article • ACM Transactions on Information Systems, October 2018, ACM (Association for Computing Machinery)

    Bart Baesens, Monique Snoeck

  33. GOTCHA! Network-Based Fraud Detection for Social Security Fraud

    Article • Management Science, July 2016, INFORMS

    Bart Baesens, Monique Snoeck

  34. Beginning Java® Programming

    Article • January 2012, Wiley

    Bart Baesens

  35. Credit Risk Management

    Article • October 2008, Oxford University Press (OUP)

    Bart Baesens