Christoph Helma

Andreas Maunz, David Vorgrimmler, Christoph Helma: Out-of-bag discriminative graph mining. SAC 2013: 109-114

Andreas Maunz, Christoph Helma, Stefan Kramer: Efficient mining for structurally diverse subgraph patterns in large molecular databases. Machine Learning 83(2): 193-218 (2011)

Barry J. Hardy, Nicki Douglas, Christoph Helma, Micha Rautenberg, Nina Jeliazkova, Vedrin Jeliazkov, Ivelina Nikolova, Romualdo Benigni, Olga Tcheremenskaia, Stefan Kramer, Tobias Girschick, Fabian Buchwald, Jörg Wicker, Andreas Karwath, Martin Gütlein, Andreas Maunz, Haralambos Sarimveis, Georgia Melagraki, Antreas Afantitis, Pantelis Sopasakis, David Gallagher, Vladimir Poroikov, Dmitry Filimonov, Alexey Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry Druzhilovsky, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher: Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010)

Andreas Maunz, Christoph Helma, Tobias Cramer, Stefan Kramer: Latent Structure Pattern Mining. ECML/PKDD (2) 2010: 353-368

Andreas Maunz, Christoph Helma, Stefan Kramer: Large-scale graph mining using backbone refinement classes. KDD 2009: 617-626

Christoph Helma, Tobias Cramer, Stefan Kramer, Luc De Raedt: Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds. Journal of Chemical Information and Modeling 44(4): 1402-1411 (2004)

Christoph Helma, Stefan Kramer: A Survey of the Predictive Toxicology Challenge 2000-2001. Bioinformatics 19(10): 1179-1182 (2003)

Hannu Toivonen, Ashwin Srinivasan, Ross D. King, Stefan Kramer, Christoph Helma: Statistical Evaluation of the Predictive Toxicology Challenge 2000-2001. Bioinformatics 19(10): 1183-1193 (2003)

Christoph Helma, Ross D. King, Stefan Kramer, Ashwin Srinivasan: The Predictive Toxicology Challenge 2000-2001. Bioinformatics 17(1): 107-108 (2001)

Stefan Kramer, Luc De Raedt, Christoph Helma: Molecular feature mining in HIV data. KDD 2001: 136-143

Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Stochastic Propositionalization of Non-determinate Background Knowledge. ILP 1998: 80-94

Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD 1997: 223-226