Andreas Hapfelmeier
Andreas Hapfelmeier
www.hapfelmeier.com
Verified email at in.tum.de
Title
Cited by
Cited by
Year
Interpreting PET scans by structured patient data: a data mining case study in dementia research
J Schmidt, A Hapfelmeier, M Mueller, R Perneczky, A Kurz, A Drzezga, ...
Knowledge and Information Systems 24 (1), 149-170, 2010
322010
Inductive databases in the relational model: The data as the bridge
S Kramer, V Aufschild, A Hapfelmeier, A Jarasch, K Kessler, S Reckow, ...
International Workshop on Knowledge Discovery in Inductive Databases, 124-138, 2005
282005
Learning probabilistic real-time automata from multi-attribute event logs
J Schmidt, A Ghorbani, A Hapfelmeier, S Kramer
Intelligent Data Analysis 17 (1), 93-123, 2013
62013
Towards real-time machine learning
A Hapfelmeier, C Mertes, J Schmidt, S Kramer
Proceedings of the ECML PKDD 2012 Workshop on Instant Interactive Data Mining, 2012
62012
A case study of stacked multi-view learning in dementia research
R Li, A Hapfelmeier, J Schmidt, R Perneczky, A Drzezga, A Kurz, ...
Conference on Artificial Intelligence in Medicine in Europe, 60-69, 2011
62011
Fast mutual information computation for dependency-monitoring on data streams
J Boidol, A Hapfelmeier
Proceedings of the Symposium on Applied Computing, 830-835, 2017
52017
Pruning incremental linear model trees with approximate lookahead
A Hapfelmeier, B Pfahringer, S Kramer
IEEE Transactions on Knowledge and Data Engineering 26 (8), 2072-2076, 2013
52013
Improving wound score classification with limited remission spectra
J Schmidt, A Hapfelmeier, WD Schmidt, U Wollina
International wound journal 9 (2), 189-198, 2012
42012
Detecting Data Stream Dependencies on High Dimensional Data.
J Boidol, A Hapfelmeier
IoTBD, 383-390, 2016
22016
Big Data K-Anonymizing by Parallel Semantic Micro-Aggregation
A Hapfelmeier, M Imig, M Mock
US Patent App. 16/323,865, 2019
12019
Incremental linear model trees on massive datasets: keep it simple, keep it fast
A Hapfelmeier, J Schmidt, S Kramer
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 129-135, 2013
12013
Method and system for anonymising data stocks
A Hapfelmeier, M Imig, M Mock
US Patent App. 16/461,607, 2020
2020
Entropy-based validation of sensor measurements
JC Boidol, A Hapfelmeier
US Patent App. 15/383,288, 2017
2017
Determining an Investment Solution for at Least One Investment Area of A Region
A Hapfelmeier, SH Weber
US Patent App. 14/584,707, 2016
2016
Incremental Linear Model Trees on Big Data
A Hapfelmeier
Technische Universität München, 2016
2016
Probabilistic Hoeffding Trees
J Boidol, A Hapfelmeier, V Tresp
Industrial Conference on Data Mining, 94-108, 2015
2015
[18F] FDG PET-based clustering of patients with cognitive deficits: A data-mining approach.
R Perneczky, A Hapfelmeier, J Schmidt, M Mueller, M Wermke, A Kurz, ...
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 35, S312-S312, 2008
2008
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