Inductive Databases in the Relational Model: The Data as the Bridge. - Stefan Kramer 001; Volker Aufschild; Andreas Hapfelmeier; Alexander Jarasch; Kristina Kessler; Stefan Reckow; Jörg Wicker; Lothar Richter (KDID, 2005)

Interpreting PET scans by structured patient data: a data mining case study in dementia research. - Jana Schmidt; Andreas Hapfelmeier; Marianne Mueller; Robert Perneczky; Alexander Kurz 002; Alexander Drzezga; Stefan Kramer 001 (Knowl. Inf. Syst., 2010)

A Case Study of Stacked Multi-view Learning in Dementia Research. - Rui Li; Andreas Hapfelmeier; Jana Schmidt; Robert Perneczky; Alexander Drzezga; Alexander Kurz 002; Stefan Kramer 001 (AIME, 2011)

Incremental linear model trees on massive datasets: keep it simple, keep it fast. - Andreas Hapfelmeier; Jana Schmidt; Stefan Kramer 001 (SAC, 2013)

Learning probabilistic real-time automata from multi-attribute event logs. - Jana Schmidt; Asghar Ghorbani 002; Andreas Hapfelmeier; Stefan Kramer 001 (Intell. Data Anal., 2013)

Pruning Incremental Linear Model Trees with Approximate Lookahead. - Andreas Hapfelmeier; Bernhard Pfahringer; Stefan Kramer 001 (IEEE Trans. Knowl. Data Eng., 2014)

Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. - Jonathan Boidol; Andreas Hapfelmeier; Volker Tresp (ICDM, 2015)

Detecting Data Stream Dependencies on High Dimensional Data. - Jonathan Boidol; Andreas Hapfelmeier (IoTBD, 2016)

Incremental Linear Model Trees on Big Data. - Andreas Hapfelmeier (2016)

Fast mutual information computation for dependency-monitoring on data streams. - Jonathan Boidol; Andreas Hapfelmeier (SAC, 2017)

Facilitating Change Implementation for Continuous ML-Safety Assurance. - Chih-Hong Cheng; Nguyen Anh Vu Doan; Balahari Balu; Franziska Schwaiger; Emmanouil Seferis; Simon Burton 001; Yassine Qamsane; Ankit Shukla 004; Yinchong Yang; Zhiliang Wu; Andreas Hapfelmeier; Ingo Thon (CoRR, 2022)

AI Hazard Management: A framework for the systematic management of root causes for AI risks. - Ronald Schnitzer; Andreas Hapfelmeier; Sven Gaube; Sonja Zillner (CoRR, 2023)

EAM Diagrams - A Framework to Systematically Describe AI Systems for Effective AI Risk Assessment (Academic Track). - Ronald Schnitzer; Andreas Hapfelmeier; Sonja Zillner (SAIA, 2024)