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• "Der Lehrstuhl Data Engineering an der Universität Regensburg", Klettke, Auge, Hausler, Landes, Melzer, Möller, Plazotta, 2025

  Publikation

  Die Data Engineering Gruppe an der Universität Regensburg wird seit April 2022 von Prof. Meike Klettke geleitet. Sie und ihr Team bestehend aus Dr....

  Publikation auf epub.uni-regensburg.de: "Der Lehrstuhl Data Engineering an der Universität Regensburg" (externer Link, öffnet neues Fenster)

• "Provenance Question-based AI Transparency and Accountable AI Governance", Waltersdorfer, Hausler, Auge, 2025

  Publikation

  Ensuring transparency in Artificial Intelligence (AI) systems is critical for building trust and accountability. However, implementing technical...

  Publikation auf epub.uni-regensburg.de: "Provenance Question-based AI Transparency and Accountable AI Governance" (externer Link, öffnet neues Fenster)

• "Model-Driven Schema Transformation for Graph Databases", Hausler, Eckwert, Klettke, Guckert, Taentzer, 2025

  Publikation

  In modern, agile software development continuous software evolution is the standard. Software changes can also affect the underlying database and its...

  Publikation auf epub.uni-regensburg.de: "Model-Driven Schema Transformation for Graph Databases" (externer Link, öffnet neues Fenster)

• "Discovering Inclusion Dependencies in a Multi-Model Scenario", Hausler, Conrad, Sperling, Störl, Meike, 2025

  Publikation

  Multi-model data stores combine the benefits of different data stores to ensure optimal storage for various datasets. To adequately connect data in...

  Publikation auf epub.uni-regensburg.de: "Discovering Inclusion Dependencies in a Multi-Model Scenario" (externer Link, öffnet neues Fenster)

• "Influence Factors on Academic Integrity revealed by Machine Learning Methods", Landes, Köppl, Klettke, 2023

  Publikation

  Academic integrity in higher education can be influenced by individual or by institutional factors. Cheating behavior undermines the academic...

  Publikation auf epub.uni-regensburg.de: "Influence Factors on Academic Integrity revealed by Machine Learning Methods" (externer Link, öffnet neues Fenster)

• "Data Processing Pipeline for Eye-Tracking Analysis", Landes, Köppl, Klettke, 2024

  Publikation

  The overarching topic of this research project is academic misconduct in online assessments, aiming to understand students´ behavior and methods. To...

  Publikation auf epub.uni-regensburg.de: "Data Processing Pipeline for Eye-Tracking Analysis" (externer Link, öffnet neues Fenster)

• "Comparison of Classifiers for Eye-Tracking Data", Landes, Köppl, Klettke, 2024

  Publikation

  This paper delves into the initial stages of data analysis, focusing on the classification of eye-tracking data. Six machine learning algorithms,...

  Publikation auf epub.uni-regensburg.de: "Comparison of Classifiers for Eye-Tracking Data" (externer Link, öffnet neues Fenster)

• "SeeME: A General, Reusable Graph Schema for Data Preprocessing of Eye-Tracking Data", Hausler, Landes, Klettke, 2025

  Publikation

  To track eye movement over time and to gain information about points of interest through fixation data, eye-tracking is used in a wide range of...

  Publikation auf epub.uni-regensburg.de: "SeeME: A General, Reusable Graph Schema for Data Preprocessing of Eye-Tracking Data" (externer Link, öffnet neues Fenster)

• "Der Lehrstuhl Data Engineering an der Universität Regensburg", Klettke, Auge, Hausler, Landes, Melzer, Möller, Plazotta, 2025

  Publikation

  Die Data Engineering Gruppe an der Universität Regensburg wird seit April 2022 von Prof. Meike Klettke geleitet. Sie und ihr Team bestehend aus Dr....

  Publikation auf epub.uni-regensburg.de: "Der Lehrstuhl Data Engineering an der Universität Regensburg" (externer Link, öffnet neues Fenster)

• "Impact of Preprocessing on Classification Results of Eye-Tracking-Data", Landes, Klettke, Köppl, 2025

  Publikation

  Eye-tracking data provides valuable insights into human behavior, but its noisy and unstable nature necessitates robust preprocessing for accurate...

  Publikation auf epub.uni-regensburg.de: "Impact of Preprocessing on Classification Results of Eye-Tracking-Data" (externer Link, öffnet neues Fenster)