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Markus Michael Rau

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2020 – today

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2021
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  - journals/corr/abs-2110-15209
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Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee, David Zhao, Markus Michael Rau, Alex I. Malz:
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression. CoRR abs/2110.15209 (2021)

2010 – 2019

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2017
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  - conf/dsaa/BrancoTRFPR17
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Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau:
Learning Through Utility Optimization in Regression Tasks. DSAA 2017: 30-39
2016
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Roman Zitlau, Ben Hoyle, Kerstin Paech, Jochen Weller, Markus Michael Rau, Stella Seitz:
Stacking for machine learning redshifts applied to SDSS galaxies. CoRR abs/1602.06294 (2016)

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