Analysing Software Systems by Using Combinations of Metrics. - Markus Bauer 002 (ECOOP Workshops, 1999)

Support Reengineering by Type Reference - A Reengineering Pattern. - Markus Bauer 002 (EuroPLoP, 1999)

Composition Languages. - Markus Lumpe; Jean-Guy Schneider; Bastiaan Schönhage; Markus Bauer 002; Thomas Genssler (ECOOP Workshops, 2003)

Vom Web-Portal zum Web-Desktop. - Tim Romberg; Markus Bauer 002 (GI Jahrestagung (2), 2003)

Werkzeuggestützte Qualitätssicherung: Ein Erfahrungsbericht Programmanalyse. - Markus Bauer 002; Olaf Seng (Softwaretechnik-Trends, 2003)

Werkzeuggestützte Problemidentifikation und -behebung. - Volker Kuttruff; Thomas Genßler; Markus Bauer 002; Olaf Seng (Softwaretechnik-Trends, 2003)

Architecture-Aware Adaptive Clustering of OO Systems. - Markus Bauer 002; Mircea Trifu (CSMR, 2004)

Search-based improvement of subsystem decompositions. - Olaf Seng; Markus Bauer 002; Matthias Biehl; Gert Pache (GECCO, 2005)

Strukturuntersuchung großer Softwaresysteme. - Markus Bauer 002 (2006)

Application Of The Fusion Approach For Assisted Composition Of Web Services. - Spiros Alexakis; Markus Bauer 002; Albina Pace; Alexa Schumacher; Andreas Friesen; Athanasios Bouras; Dimitrios Kourtesis (Virtual Enterprises and Collaborative Networks, 2007)

A Cloud-Based Approach for Collaborative Networks Supporting Serviced-Enhanced Products. - Bholanathsingh Surajbali; Markus Bauer 002; Holger Bär; Spiros Alexakis (PRO-VE, 2013)

A cloud-based approach for collaboration of serviced-enhanced products. - Bholanathsingh Surajbali; Adrian Juan Verdejo; Holger Bär; Spiros Alexakis; Gerald Hübsch; Markus Bauer 002 (IEEM, 2014)

Machine Learning in SME: An Empirical Study on Enablers and Success Factors. - Markus Bauer 002; Clemens van Dinther; Daniel Kiefer (AMCIS, 2020)

Demand Forecasting Intermittent and Lumpy Time Series: Comparing Statistical, Machine Learning and Deep Learning Methods. - Daniel Kiefer; Florian Grimm; Markus Bauer 002; Clemens van Dinther (HICSS, 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. - Markus Bauer 002; Daniel Kiefer; Florian Grimm (KES-HCIS, 2021)

Univariate Time Series Forecasting by Investigating Intermittence and Demand Individually. - Florian Grimm; Daniel Kiefer; Markus Bauer 002 (KES-HCIS, 2021)

Univariate Time Series Forecasting: Machine Learning Prediction of the Best Suitable Forecast Model Based on Time Series Characteristics. - Daniel Kiefer; Markus Bauer 002; Florian Grimm (KES-HCIS, 2021)