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Florian Dumpert
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2020 – today
- 2024
- [j7]Jan Pablo Burgard, Markus Zwick, Florian Dumpert, Sebastian Wichert, Thomas Augustin, Nina Storfinger:
Vorwort der Herausgeber. AStA Wirtschafts und Sozialstatistisches Arch. 18(2): 127-130 (2024) - 2023
- [j6]Florian Dumpert, Martin Beck:
Verbesserung der Datengrundlage der Mindestlohnforschung mittels maschineller Lernverfahren. AStA Wirtschafts und Sozialstatistisches Arch. 17(1): 5-34 (2023) - [j5]Florian Dumpert, Sebastian Wichert
, Thomas Augustin, Nina Storfinger:
Editorial issue 3 + 4, 2023. AStA Wirtschafts und Sozialstatistisches Arch. 17(3): 191-194 (2023) - [j4]Younes Saidani
Qualitätsdimensionen maschinellen Lernens in der amtlichen Statistik. AStA Wirtschafts und Sozialstatistisches Arch. 17(3): 253-303 (2023) - [p1]Florian Dumpert, Elena Schmidt:
Hyperparameter Tuning in German Official Statistics. Hyperparameter Tuning for Machine and Deep Learning with R 2023: 177-185 - 2022
- [j3]Sarah Friedrich
Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 16(4): 823-846 (2022) - 2020
- [i4]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? CoRR abs/2009.09070 (2020)
2010 – 2019
- 2019
- [i3]Florian Dumpert:
Quantitative Robustness of Localized Support Vector Machines. CoRR abs/1903.01334 (2019) - 2018
- [j2]Florian Dumpert, Andreas Christmann
Universal consistency and robustness of localized support vector machines. Neurocomputing 315: 96-106 (2018) - [i2]Martin Beck, Florian Dumpert, Jörg Feuerhake:
Machine Learning in Official Statistics. CoRR abs/1812.10422 (2018) - 2017
- [j1]Florian Dumpert, Martin Beck:
Einsatz von Machine-Learning-Verfahren in amtlichen Unternehmensstatistiken. AStA Wirtschafts und Sozialstatistisches Arch. 11(2): 83-106 (2017) - 2016
- [i1]Andreas Christmann, Florian Dumpert, Dao-Hong Xiang:
A short note on extension theorems and their connection to universal consistency in machine learning. CoRR abs/1604.04505 (2016)
Coauthor Index
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