Michael Geilke
Title
Cited by
Cited by
Year
Learning relational patterns
M Geilke, S Zilles
International Conference on Algorithmic Learning Theory, 84-98, 2011
132011
Online estimation of discrete densities
M Geilke, E Frank, A Karwath, S Kramer
2013 IEEE 13th International Conference on Data Mining, 191-200, 2013
82013
Online estimation of discrete, continuous, and conditional joint densities using classifier chains
M Geilke, A Karwath, E Frank, S Kramer
Data Mining and Knowledge Discovery 32 (3), 561-603, 2018
52018
A probabilistic condensed representation of data for stream mining
M Geilke, A Karwath, S Kramer
2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014
52014
Good vibrations: artificial ambience-based relay attack detection
I Gurulian, K Markantonakis, E Frank, RN Akram
2018 17th IEEE International Conference On Trust, Security And Privacy In …, 2018
3*2018
Polynomial-time algorithms for learning typed pattern languages
M Geilke, S Zilles
International Conference on Language and Automata Theory and Applications …, 2012
32012
Modeling recurrent distributions in streams using possible worlds
M Geilke, A Karwath, S Kramer
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
22015
Online density estimation of heterogeneous data streams in higher dimensions
M Geilke, A Karwath, S Kramer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
12016
Privacy-Preserving Pattern Mining on Online Density Estimates
M Geilke, S Kramer
2017 IEEE International Conference on Big Knowledge (ICBK), 25-32, 2017
2017
Online density estimates: a probabilistic condensed representation of data for knowledge discovery
M Geilke
Johannes Gutenberg-Universität Mainz, 2017
2017
Online estimation of discrete densities using classifier chains
M Geilke, E Frank, S Kramer
ADReM, 2012
2012
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Articles 1–11