S. Lorenzen

发表

Steiner Tree Heuristics in Euclidean d-Space

P. Winter, R. Fonseca, A. Olsen, 2014 .

Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

C. Igel, Yevgeny Seldin, A. Masegosa, 2021, NeurIPS.

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Andreas D. Lauritzen, Abraham George Smith, Marleen de Bruijne, 2021, Scientific reports.

Second Order PAC-Bayesian Bounds for the Weighted Majority Vote pdf

Christian Igel, Yevgeny Seldin, Andr'es R. Masegosa, 2020, NeurIPS.

Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

C. Igel, M. Nielsen, S. Lorenzen, 2021, ICLR.

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Christina Lioma, Akshay Pai, Bulat Ibragimov, 2020, Scientific Reports.

Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search

Ninh D. Pham, S. Lorenzen, 2019, ECML/PKDD.

Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

C. Igel, A. Perner, H. Thorsen-Meyer, 2021, Scientific Reports.

Developing machine learning models for predicting intensive care unit resource use during the COVID-19 pandemic

C. Igel, M. Nielsen, A. Perner, 2021, medRxiv.

Tracking Behavioral Patterns among Students in an Online Educational System pdf

Stephen Alstrup, Niklas Hjuler, Stephan Lorenzen, 2018, EDM.