Learning Relational Patterns. - Michael Geilke; Sandra Zilles (ALT, 2011)

Polynomial-Time Algorithms for Learning Typed Pattern Languages. - Michael Geilke; Sandra Zilles (LATA, 2012)

Online Estimation of Discrete Densities. - Michael Geilke; Eibe Frank; Andreas Karwath; Stefan Kramer 001 (ICDM, 2013)

A probabilistic condensed representation of data for stream mining. - Michael Geilke; Andreas Karwath; Stefan Kramer 001 (DSAA, 2014)

Modeling recurrent distributions in streams using possible worlds. - Michael Geilke; Andreas Karwath; Stefan Kramer 001 (DSAA, 2015)

Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions. - Michael Geilke; Andreas Karwath; Stefan Kramer 001 (ECML/PKDD (1), 2016)

Privacy-Preserving Pattern Mining on Online Density Estimates. - Michael Geilke; Stefan Kramer 001 (ICBK, 2017)

Online density estimates: a probabilistic condensed representation of data for knowledge discovery. - Michael Geilke (2017)

Online estimation of discrete, continuous, and conditional joint densities using classifier chains. - Michael Geilke; Andreas Karwath; Eibe Frank; Stefan Kramer 001 (Data Min. Knowl. Discov., 2018)