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- 2023
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Mark
Using machine learning to select variables in data envelopment analysis : Simulations and application using electricity distribution data
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- Contribution to journal › Article
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Mark
European projections of West Nile virus transmission under climate change scenarios
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- Contribution to journal › Article
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Mark
Experimental approach to evaluate the effect of growing conditions on cereal grain size and its relevance for interpreting archaeological cereal grain assemblages
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- Contribution to journal › Article
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Mark
Predicting the dengue cluster outbreak dynamics in Yogyakarta, Indonesia: a modelling study
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- Contribution to journal › Article
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Mark
Local scale invariance and robustness of proper scoring rules
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- Contribution to journal › Article
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Mark
Coordinate Descent for SLOPE
2023) 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023 In Proceedings of Machine Learning Research 206. p.4802-4821(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Reducing the Uncertainty on the Hubble Constant up to 35% with an Improved Statistical Analysis : Different Best-fit Likelihoods for Type Ia Supernovae, Baryon Acoustic Oscillations, Quasars, and Gamma-Ray Bursts
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- Contribution to journal › Article
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Mark
A hypothesis - generating Swedish extended national cross-sectional family study of multimorbidity severity and venous thromboembolism
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- Contribution to journal › Article
- 2022
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Mark
Accuracy of a Bayesian technique to estimate position and activity of orphan gamma-ray sources by mobile gamma spectrometry : Influence of imprecisions in positioning systems and computational approximations
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- Contribution to journal › Article
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Mark
Selecting predictive biomarkers from genomic data
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- Contribution to journal › Article