Andreas Hapfelmeier

According to our database, Andreas Hapfelmeier authored at least 13 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EAM Diagrams - A Framework to Systematically Describe AI Systems for Effective AI Risk Assessment (Academic Track).

Ronald Schnitzer, Andreas Hapfelmeier, Sonja Zillner

Proceedings of the Symposium on Scaling AI Assessments, 2024

2023

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

2022

Facilitating Change Implementation for Continuous ML-Safety Assurance.

Chih-Hong Cheng, Nguyen Anh Vu Doan, Balahari Balu, Franziska Schwaiger, Emmanouil Seferis, Simon Burton, Yassine Qamsane, Ankit Shukla, Yinchong Yang, Zhiliang Wu, Andreas Hapfelmeier, Ingo Thon

CoRR, 2022

2017

Fast mutual information computation for dependency-monitoring on data streams.

Jonathan Boidol, Andreas Hapfelmeier

Proceedings of the Symposium on Applied Computing, 2017

2016

Incremental Linear Model Trees on Big Data.

Andreas Hapfelmeier

PhD thesis, 2016

Detecting Data Stream Dependencies on High Dimensional Data.

Jonathan Boidol, Andreas Hapfelmeier

Proceedings of the International Conference on Internet of Things and Big Data, 2016

2015

Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams.

Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp

Proceedings of the Advances in Data Mining: Applications and Theoretical Aspects, 2015

2014

Pruning Incremental Linear Model Trees with Approximate Lookahead.

Andreas Hapfelmeier, Bernhard Pfahringer, Stefan Kramer

IEEE Trans. Knowl. Data Eng., 2014

2013

Learning probabilistic real-time automata from multi-attribute event logs.

Jana Schmidt, Asghar Ghorbani, Andreas Hapfelmeier, Stefan Kramer

Intell. Data Anal., 2013

Incremental linear model trees on massive datasets: keep it simple, keep it fast.

Andreas Hapfelmeier, Jana Schmidt, Stefan Kramer

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2011

A Case Study of Stacked Multi-view Learning in Dementia Research.

Rui Li, Andreas Hapfelmeier, Jana Schmidt, Robert Perneczky, Alexander Drzezga, Alexander Kurz, Stefan Kramer

Proceedings of the Artificial Intelligence in Medicine, 2011

2008

Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research.

Andreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Stefan Kramer, Robert Perneczky, Alexander Kurz, Alexander Drzezga

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005

Inductive Databases in the Relational Model: The Data as the Bridge.

Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter

Proceedings of the Knowledge Discovery in Inductive Databases, 4th International Workshop, 2005