‪Markus Bauer‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	93	90
h-index	2	2
i10-index	2	2

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Co-authors

Clemens van DintherPrivatdozent, Karlsruhe Institut of TechnologyVerified email at kit.edu
Florian GrimmWissenschaftlicher Mitarbeiter, Hochschule ReutlingenVerified email at reutlingen-university.de
Daniel KieferResearch Associate, ESB Business School / PhD Candidate, Karlsruhe Institute of TechnologyVerified email at reutlingen-university.de

Markus Bauer

Markus Bauer

Karlsruhe Institute of Technology

Verified email at partner.kit.edu

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine Learning in SME: An Empirical Study on Enablers and Success Factors M Bauer, C van Dinther, D Kiefer AMCIS 2020 Proceedings, 2020	66	2020
Demand forecasting intermittent and lumpy time series: Comparing statistical, machine learning and deep learning methods D Kiefer, F Grimm, M Bauer, C Van Dinther	26	2021
Sales Forecasting Under Economic Crisis: A Case Study of the Impact of the COVID19 Crisis to the Predictability of Sales of a Medium-Sized Enterprise M Bauer, D Kiefer, F Grimm International Conference on Human-Centered Intelligent Systems, 163-172, 2021	1	2021
Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually F Grimm, D Kiefer, M Bauer International Conference on Human-Centered Intelligent Systems, 143-151, 2021		2021
Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics D Kiefer, M Bauer, F Grimm International Conference on Human-Centered Intelligent Systems, 152-162, 2021		2021

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