prof. dr. Willem Waegeman
- ORCID iD
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0000-0002-5950-3003
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- Journal Article
- A1
- open access
DeepMTP : a Python-based deep learning framework for multi-target prediction
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- Conference Paper
- C1
- open access
On second-order scoring rules for epistemic uncertainty quantification
(2023) Proceedings of the 40th International Conference on Machine Learning. In PMLR 202. p.2078-2091 -
Out-of-sample R2 : estimation and inference
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- Conference Paper
- C1
- open access
On the calibration of probabilistic classifier sets
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- Journal Article
- A1
- open access
Valid prediction intervals for regression problems
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- Journal Article
- A2
- open access
Seasonal prediction of Horn of Africa long rains using machine learning : the pitfalls of preselecting correlated predictors
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Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
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Pitfalls of epistemic uncertainty quantification through loss minimisation
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- Conference Paper
- C1
- open access
Set-valued prediction in hierarchical classification with constrained representation complexity
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ProD : a tool for predictive design of tailored promoters in Escherichia coli
(2022) Prokaryotic gene regulation : methods and protocols. In Methods in Molecular Biology 2516. p.51-59