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ORCIDAndreas Hapfelmeier
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2020 – today
- 2024
[c8]Ronald Schnitzer, Andreas Hapfelmeier, Sonja Zillner:
EAM Diagrams - A Framework to Systematically Describe AI Systems for Effective AI Risk Assessment (Academic Track). SAIA 2024: 3:1-3:16- 2023
- [i2]Ronald Schnitzer, Andreas Hapfelmeier, Sven Gaube, Sonja Zillner:
AI Hazard Management: A framework for the systematic management of root causes for AI risks. CoRR abs/2310.16727 (2023) - 2022
- [i1]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:
Facilitating Change Implementation for Continuous ML-Safety Assurance. CoRR abs/2209.11632 (2022)
2010 – 2019
- 2017
- [c7]Jonathan Boidol, Andreas Hapfelmeier:
Fast mutual information computation for dependency-monitoring on data streams. SAC 2017: 830-835 - 2016
- [b1]Andreas Hapfelmeier:
Incremental Linear Model Trees on Big Data. Technical University Munich, Germany, 2016 - [c6]Jonathan Boidol, Andreas Hapfelmeier:
Detecting Data Stream Dependencies on High Dimensional Data. IoTBD 2016: 383-390 - 2015
- [c5]Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp:
Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. ICDM 2015: 94-108 - 2014
- [j3]Andreas Hapfelmeier, Bernhard Pfahringer, Stefan Kramer:
Pruning Incremental Linear Model Trees with Approximate Lookahead. IEEE Trans. Knowl. Data Eng. 26(8): 2072-2076 (2014) - 2013
- [j2]Jana Schmidt, Asghar Ghorbani, Andreas Hapfelmeier, Stefan Kramer:
Learning probabilistic real-time automata from multi-attribute event logs. Intell. Data Anal. 17(1): 93-123 (2013) - [c4]Andreas Hapfelmeier, Jana Schmidt, Stefan Kramer:
Incremental linear model trees on massive datasets: keep it simple, keep it fast. SAC 2013: 129-135 - 2011
- [c3]Rui Li, Andreas Hapfelmeier, Jana Schmidt, Robert Perneczky, Alexander Drzezga, Alexander Kurz, Stefan Kramer:
A Case Study of Stacked Multi-view Learning in Dementia Research. AIME 2011: 60-69 - 2010
- [j1]Jana Schmidt, Andreas Hapfelmeier, Marianne Mueller, Robert Perneczky, Alexander Kurz, Alexander Drzezga, Stefan Kramer:
Interpreting PET scans by structured patient data: a data mining case study in dementia research. Knowl. Inf. Syst. 24(1): 149-170 (2010)
2000 – 2009
- 2008
- [c2]Andreas Hapfelmeier, Jana Schmidt, Marianne Mueller, Stefan Kramer, Robert Perneczky, Alexander Kurz, Alexander Drzezga:
Interpreting PET Scans by Structured Patient Data: A Data Mining Case Study in Dementia Research. ICDM 2008: 213-222 - 2005
- [c1]Stefan Kramer, Volker Aufschild, Andreas Hapfelmeier, Alexander Jarasch, Kristina Kessler, Stefan Reckow, Jörg Wicker, Lothar Richter:
Inductive Databases in the Relational Model: The Data as the Bridge. KDID 2005: 124-138
Coauthor Index
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