Follow
Michael Geilke
Title
Cited by
Cited by
Year
Learning relational patterns
M Geilke, S Zilles
Algorithmic Learning Theory, 84-98, 2011
162011
Online estimation of discrete densities
M Geilke, E Frank, A Karwath, S Kramer
2013 IEEE 13th International Conference on Data Mining, 191-200, 2013
92013
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
62014
Polynomial-time algorithms for learning typed pattern languages
M Geilke, S Zilles
Language and Automata Theory and Applications: 6th International Conference …, 2012
62012
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, 561-603, 2018
52018
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
32015
Difference in details: transfer learning case study of" cryptic" plants and moths
V Vetrova, S Coup, E Frank, MJ Cree
The Fifth Workshop on Fine-Grained Visual Categorization held in conjunction …, 2018
12018
Online density estimation of heterogeneous data streams in higher dimensions
M Geilke, A Karwath, S Kramer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 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
Dissertation, Mainz, Johannes Gutenberg-Universität, 2017, 2017
2017
Online estimation of discrete densities using classifier chains
M Geilke, E Frank, S Kramer
ADReM, 2012
2012
The system can't perform the operation now. Try again later.
Articles 1–11