Michael Feindt

According to our database, Michael Feindt authored at least 4 papers between 2016 and 2021.

Collaborative distances:

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

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

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