Karwath, A. ; Hubrich, M. ; Kramer, S. (2017): Convolutional Neural Networks for the Identification of Regions of Interests in PET Scans: A Study of Representation Learning for Diagnosing Alzheimer's Disease Conference. In: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria.
Geilke, M. ; Karwath, A. ; Kramer, S. (2016): Online density estimation of heterogeneous data streams in higher dimensions. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, Riva del Garda, Italy.
Geilke, Michael; Karwath, A.; Kramer, S. (2015): Modelling recurrent distributions in streams using possible worlds. In: IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, Paris, France.
Gütlein, M.; Karwath, A.; Kramer, S. (2014): CheS-Mapper 2.0 for visual validation of (Q)SAR models. In: Journal of Cheminformatics, 6 (1), pp. 41.
Seeland, M.; Karwath, A.; Kramer, S. (2014): Structural clustering of millions of molecular graphs. In: Symposium on Applied Computing, SAC 2014, ACM, Gyeongju, South Korea.
Gütlein, M.; Helma, C.; Karwath, A.; Kramer, S. (2013): A Large-Scale Empirical Evaluation of Cross-Validation and External Test Set Validation in (Q)SAR. In: Molecular Informatics, 32 (5-6), pp. 516-528.
Seeland, M.; Karwath, A.; Kramer, S. (2012): A structural cluster kernel for learning on graphs. In:
18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,
KDD 2012, Beijing, China.
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