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Graph neural networks for house price prediction : do or don't?
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- Conference Paper
- C1
- open access
CaLenDiR : mitigating case-length distortion in deep-learning-based predictive process monitoring
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Predictive process monitoring for airport operational support
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Hellinger distance decision trees for PU learning in imbalanced data sets
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GeoRF : a geospatial random forest
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Validation set sampling strategies for predictive process monitoring
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- Journal Article
- A1
- open access
LS-ICE : a load state intercase encoding framework for improved predictive monitoring of business processes
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- Conference Paper
- C1
- open access
An evolutionary geospatial regression tree
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- Journal Article
- A1
- open access
A survey of methods and input data types for house price prediction
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Global conformance checking measures using shallow representation and deep learning