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Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark
by
Lorenzen, Stephan Sloth
,
Nielsen, Mads
,
Jimenez-Solem, Espen
,
Petersen, Tonny Studsgaard
,
Perner, Anders
,
Thorsen-Meyer, Hans-Christian
,
Igel, Christian
,
Sillesen, Martin
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Scientific reports
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Online transfer learning with partial feedback
by
Kang, Zhongfeng
,
Nielsen, Mads
,
Yang, Bo
,
Deng, Lihui
,
Lorenzen, Stephan Sloth
Published in
Expert systems with applications
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Assessing the accuracy gap in early postoperative complication surveillance: ICD-10 codes versus manual curation—clinical and economic implications
by
Dencker, Emilie Even
,
Bonde, Alexander
,
Lorenzen, Stephan Sloth
,
Troelsen, Anders
,
Sillesen, Martin
Published in
Scandinavian journal of surgery
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Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
by
Lorenzen, Stephan Sloth
,
Igel, Christian
,
Nielsen, Mads
Published in
arXiv.org
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On PAC-Bayesian Bounds for Random Forests
by
Lorenzen, Stephan Sloth
,
Igel, Christian
,
Seldin, Yevgeny
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arXiv.org
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