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2020 – today
- 2021
[j2]Felix Wick
, Ulrich Kerzel, Martin Hahn, Moritz Wolf, Trapti Singhal, Daniel Stemmer, Jakob Ernst, Michael Feindt:
Demand Forecasting of Individual Probability Density Functions with Machine Learning. Oper. Res. Forum 2(3) (2021)- 2020
- [i3]Felix Wick, Ulrich Kerzel, Michael Feindt:
Cyclic Boosting - an explainable supervised machine learning algorithm. CoRR abs/2002.03425 (2020) - [i2]Felix Wick, Ulrich Kerzel, Martin Hahn, Moritz Wolf, Trapti Singhal, Michael Feindt:
Demand Forecasting of individual Probability Density Functions with Machine Learning. CoRR abs/2009.07052 (2020)
2010 – 2019
- 2019
- [j1]Thomas Keck, Fernando Abudinén, Florian U. Bernlochner, R. Cheaib, Sam Cunliffe, Michael Feindt, Torben Ferber, Moritz Gelb, Jochen Gemmler, Pablo Goldenzweig, Martin Heck, Sophie Hollitt, James Kahn, Jo-Frederik Krohn, Thomas Kuhr, I. Komarov, L. Ligioi, Matic Lubej, Felix Metzner, Markus Prim, Christian Pulvermacher, Martin Ritter, J. Schwab, W. Sutcliffe, U. Tamponi, Francesco Tenchini, N. E. Toutounji, P. Urquijo, Dennis Weyland, Anze Zupanc:
The Full Event Interpretation: An Exclusive Tagging Algorithm for the Belle II Experiment. Comput. Softw. Big Sci. 3(1) (2019) - [c1]Felix Wick, Ulrich Kerzel, Michael Feindt:
Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm. ICMLA 2019: 358-363 - 2016
- [i1]Maximilian Christ, Andreas W. Kempa-Liehr, Michael Feindt:
Distributed and parallel time series feature extraction for industrial big data applications. CoRR abs/1610.07717 (2016)
Coauthor Index
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