| Learning relational patterns M Geilke, S Zilles International Conference on Algorithmic Learning Theory, 84-98, 2011 | 21 | 2011 |
| Online estimation of discrete densities M Geilke, E Frank, A Karwath, S Kramer 2013 IEEE 13th International Conference on Data Mining, 191-200, 2013 | 9 | 2013 |
| Polynomial-time algorithms for learning typed pattern languages M Geilke, S Zilles International Conference on Language and Automata Theory and Applications …, 2012 | 7 | 2012 |
| 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 | 6 | 2014 |
| 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 | 5 | 2018 |
| 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 | 4 | 2015 |
| 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 | 1 | 2018 |
| 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 | 1 | 2016 |
| 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 |
