Technical Options for a European High-Speed Backbone. - Michael Behringer (Comput. Networks ISDN Syst., 1996)

The Global Internet: The Road to Ten-34. - Donal O'Mahony; Michael Behringer (IEEE Internet Comput., 1997)

An Interactive Curtain for Media Usage in the Shower. - Markus Funk; Stefan Schneegass; Michael Behringer; Niels Henze; Albrecht Schmidt 001 (PerDis, 2015)

FlexMash 2.0 - Flexible Modeling and Execution of Data Mashups. - Pascal Hirmer; Michael Behringer (RMC, 2016)

Towards Interactive Data Processing and Analytics - Putting the Human in the Center of the Loop. - Michael Behringer; Pascal Hirmer; Bernhard Mitschang (ICEIS (3), 2017)

A Human-Centered Approach for Interactive Data Processing and Analytics. - Michael Behringer; Pascal Hirmer; Bernhard Mitschang (ICEIS (Revised Selected Papers), 2017)

Partial execution of Mashup Plans during modeling time. - Pascal Hirmer; Michael Behringer; Bernhard Mitschang (Comput. Sci. Res. Dev., 2018)

Quality-driven early stopping for explorative cluster analysis for big data. - Manuel Fritz; Michael Behringer; Holger Schwarz (SICS Softw.-Intensive Cyber Phys. Syst., 2019)

Empowering Domain Experts to Preprocess Massive Distributed Datasets. - Michael Behringer; Pascal Hirmer; Manuel Fritz; Bernhard Mitschang (BIS, 2020)

ASAP-DM: a framework for automatic selection of analytic platforms for data mining. - Manuel Fritz; Osama Muazzen; Michael Behringer; Holger Schwarz (SICS Softw.-Intensive Cyber Phys. Syst., 2020)

LOG-Means: Efficiently Estimating the Number of Clusters in Large Datasets. - Manuel Fritz; Michael Behringer; Holger Schwarz (Proc. VLDB Endow., 2020)

DATA-IMP: An Interactive Approach to Specify Data Imputation Transformations on Large Datasets. - Michael Behringer; Manuel Fritz; Holger Schwarz; Bernhard Mitschang (CoopIS, 2022)

Increasing Explainability of Clustering Results for Domain Experts by Identifying Meaningful Features. - Michael Behringer; Pascal Hirmer; Dennis Tschechlov; Bernhard Mitschang (ICEIS (2), 2022)

Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects. - Christoph Stach; Clémentine Gritti; Julia Bräcker; Michael Behringer; Bernhard Mitschang (Future Internet, 2022)

Efficient exploratory clustering analyses in large-scale exploration processes. - Manuel Fritz; Michael Behringer; Dennis Tschechlov; Holger Schwarz (VLDB J., 2022)

SMARTEN - A Sample-Based Approach towards Privacy-Friendly Data Refinement. - Christoph Stach; Michael Behringer; Julia Bräcker; Clémentine Gritti; Bernhard Mitschang (J. Cybersecur. Priv., 2022)

Unobtrusive Integration of Data Quality in Interactive Explorative Data Analysis. - Michael Behringer; Pascal Hirmer; Alejandro Villanueva; Jannis Rapp; Bernhard Mitschang (ICEIS (2), 2023)

SDRank: A Deep Learning Approach for Similarity Ranking of Data Sources to Support User-Centric Data Analysis. - Michael Behringer; Dennis Treder-Tschechlov; Julius Voggesberger; Pascal Hirmer; Bernhard Mitschang (ICEIS (1), 2023)

Connecting Domain Experts and Data: Enriching User-Centric Data Analysis with Neural Network-Aided Data Source Suggestion. - Michael Behringer; Dennis Treder-Tschechlov; Julius Voggesberger; Pascal Hirmer; Bernhard Mitschang (ICEIS (Revised Selected Papers 1), 2023)

Interactive Data Mashups for User-Centric Data Analysis. - Michael Behringer; Pascal Hirmer (SSDBM, 2023)

Empowering Domain Experts to Enhance Clustering Results Through Interactive Refinement. - Michael Behringer; Dennis Treder-Tschechlov; Jannis Rapp (DASFAA (7), 2024)

Enhancing Data Trustworthiness in Explorative Analysis: An Interactive Approach for Data Quality Monitoring. - Michael Behringer; Pascal Hirmer; Alejandro Villanueva; Jannis Rapp; Bernhard Mitschang (SN Comput. Sci., 2024)