Michael Feindt

According to our database1, Michael Feindt authored at least 5 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Demand Forecasting of Individual Probability Density Functions with Machine Learning.
Oper. Res. Forum, 2021

2020
Demand Forecasting of individual Probability Density Functions with Machine Learning.
CoRR, 2020

2019
The Full Event Interpretation: An Exclusive Tagging Algorithm for the Belle II Experiment.
Comput. Softw. Big Sci., December, 2019

Cyclic Boosting - An Explainable Supervised Machine Learning Algorithm.
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.
CoRR, 2016


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