| 2012 | ||
|---|---|---|
| j8 | Martin Gütlein, Andreas Karwath, Stefan Kramer: CheS-Mapper - Chemical Space Mapping and Visualization in 3D. J. Cheminformatics 4: 7 (2012) | |
| j7 | Slawomir Grzonka, Andreas Karwath, Frederic Dijoux, Wolfram Burgard: Activity-Based Estimation of Human Trajectories. IEEE Transactions on Robotics 28(1): 234-245 (2012) | |
| c14 | Madeleine Seeland, Andreas Karwath, Stefan Kramer: A structural cluster kernel for learning on graphs. KDD 2012: 516-524 | |
| 2010 | ||
| j6 | 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) | |
| c13 | Slawomir Grzonka, Frederic Dijoux, Andreas Karwath, Wolfram Burgard: Learning Maps of Indoor Environments Based on Human Activity. AAAI Spring Symposium: Embedded Reasoning 2010 | |
| c12 | Slawomir Grzonka, Frederic Dijoux, Andreas Karwath, Wolfram Burgard: Mapping indoor environments based on human activity. ICRA 2010: 476-481 | |
| 2009 | ||
| c11 | Martin Gütlein, Eibe Frank, Mark Hall, Andreas Karwath: Large-scale attribute selection using wrappers. CIDM 2009: 332-339 | |
| c10 | Hannes Schulz, Kristian Kersting, Andreas Karwath: ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries. ILP 2009: 209-216 | |
| 2008 | ||
| c9 | Andreas Karwath, Kristian Kersting, Niels Landwehr: Boosting Relational Sequence Alignments. ICDM 2008: 857-862 | |
| c8 | Kristian Kersting, Luc De Raedt, Bernd Gutmann, Andreas Karwath, Niels Landwehr: Relational Sequence Learning. Probabilistic Inductive Logic Programming 2008: 28-55 | |
| 2007 | ||
| c7 | Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: Logic and the Automatic Acquisition of Scientific Knowledge: An Application to Functional Genomics. Computational Discovery of Scientific Knowledge 2007: 273-289 | |
| 2006 | ||
| j5 | Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King: Functional bioinformatics for Arabidopsis thaliana. Bioinformatics 22(9): 1130-1136 (2006) | |
| j4 | Amanda Clare, Andreas Karwath, Helen Ougham, Ross D. King: Functional bioinformatics for Arabidopsis thaliana. Bioinformatics 22(13): 1674 (2006) | |
| j3 | Rolf Backofen, Hans-Gunther Borrmann, Werner Deck, Andreas Dedner, Luc De Raedt, Klaus Desch, Markus Diesmann, Martin Geier, Andreas Greiner, Wolfgang R. Hess, Josef Honerkamp, Stefan Jankowski, Ingo Krossing, Andreas W. Liehr, Andreas Karwath, Robert Klöfkorn, Raphaël Pesché, Tobias C. Potjans, Michael C. Röttger, Lars Schmidt-Thieme, Gerhard Schneider, Björn Voß, Bernd Wiebelt, Peter Wienemann, Volker-Henning Winterer: A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. Praxis der Informationsverarbeitung und Kommunikation 29(2): 81-87 (2006) | |
| c6 | ||
| 2005 | ||
| c5 | Christian Stolle, Andreas Karwath, Luc De Raedt: CLASSIC'CL: An Integrated ILP System. Discovery Science 2005: 354-362 | |
| 2004 | ||
| c4 | ||
| c3 | ||
| 2002 | ||
| j2 | Andreas Karwath, Ross D. King: Homology Induction: the use of machine learning to improve sequence similarity searches. BMC Bioinformatics 3: 11 (2002) | |
| 2001 | ||
| j1 | Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: The utility of different representations of protein sequence for predicting functional class. Bioinformatics 17(5): 445-454 (2001) | |
| c2 | Andreas Karwath, Ross D. King: An Automated ILP Server in the Field of Bioinformatics. ILP 2001: 91-103 | |
| 2000 | ||
| c1 | Ross D. King, Andreas Karwath, Amanda Clare, Luc Dehaspe: Genome scale prediction of protein functional class from sequence using data mining. KDD 2000: 384-389 | |
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