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Overview of my research output (incl. pre-prints and conference papers).

2021

  • Liu, D., Oberman, H. I., Muñoz, J., Hoogland, J., & Debray, T. P. A. (2021). Quality control, data cleaning, imputation [pre-print]. To appear in Clinical applications of artificial intelligence in real-world data. DOI: arxiv.org/abs/2110.15877. Download here.

  • Oberman, H. I. (2021). Visualizing uncertainty due to missing data [conference paper]. IEEE VIS, VisComm workshop. DOI: doi.org/10.31219/osf.io/ahtfy. Download here.

2020

  • Oberman, H. I., Buuren, S. van, & Vink, G. (2020). Missing the Point: Non-Convergence in Iterative Imputation Algorithms [conference paper]. ICML, ARTEMISS workshop. DOI: arxiv.org/abs/2110.11951v1. Download here.

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