prof. dr. Seppe vanden Broucke
- ORCID iD
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0000-0002-8781-3906
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Factors related to GDPR compliance promises in privacy policies : a machine learning and NLP approach
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Understanding organizational transitions : interpretable top manager turnover prediction using a heterogeneous graph neural network
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Leveraging ChatGPT for GDPR compliance in requirements engineering : a pilot study
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Graph neural networks for house price prediction : do or don't?
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LS-ICE : a load state intercase encoding framework for improved predictive monitoring of business processes
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GeoRF : a geospatial random forest
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Evaluating text classification : a benchmark study
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- Journal Article
- A1
- open access
Enhancing geospatial prediction models with feature engineering from road networks : a graph-driven approach
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Validation set sampling strategies for predictive process monitoring
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Hellinger distance decision trees for PU learning in imbalanced data sets