Michael Feindt

According to our database, Michael Feindt authored at least 5 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Demand Forecasting of Individual Probability Density Functions with Machine Learning.

Felix Wick, Ulrich Kerzel, Martin Hahn, Moritz Wolf, Trapti Singhal, Daniel Stemmer, Jakob Ernst, Michael Feindt

Oper. Res. Forum, 2021

2020

Demand Forecasting of individual Probability Density Functions with Machine Learning.

Felix Wick, Ulrich Kerzel, Martin Hahn, Moritz Wolf, Trapti Singhal, Michael Feindt

CoRR, 2020

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, 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

Comput. Softw. Big Sci., December, 2019

Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm.

Felix Wick, Ulrich Kerzel, Michael Feindt

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2016

Distributed and parallel time series feature extraction for industrial big data applications.

Maximilian Christ, Andreas W. Kempa-Liehr, Michael Feindt

CoRR, 2016