Distributed and parallel time series feature extraction for industrial big data applications. - Maximilian Christ; Andreas W. Kempa-Liehr; Michael Feindt (CoRR, 2016)

Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm. - Felix Wick; Ulrich Kerzel; Michael Feindt (ICMLA, 2019)

The Full Event Interpretation: An Exclusive Tagging Algorithm for the Belle II Experiment. - 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; et al. (Comput. Softw. Big Sci., 2019)

Demand Forecasting of individual Probability Density Functions with Machine Learning. - Felix Wick; Ulrich Kerzel; Martin Hahn 005; Moritz Wolf; Trapti Singhal; Michael Feindt (CoRR, 2020)

Demand Forecasting of Individual Probability Density Functions with Machine Learning. - Felix Wick; Ulrich Kerzel; Martin Hahn 005; Moritz Wolf; Trapti Singhal; Daniel Stemmer; Jakob Ernst; Michael Feindt (Oper. Res. Forum, 2021)