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Fabian Buchwald
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2010 – 2019
- 2012
- [c5]Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer:
Maximum Common Subgraph based locally weighted regression. SAC 2012: 165-172 - 2011
- [j4]Tobias Hamp, Fabian Birzele, Fabian Buchwald, Stefan Kramer:
Improving structure alignment-based prediction of SCOP families using Vorolign Kernels. Bioinform. 27(2): 204-210 (2011) - [j3]Fabian Buchwald, Lothar Richter, Stefan Kramer:
Predicting a small molecule-kinase interaction map: A machine learning approach. J. Cheminformatics 3: 22 (2011) - 2010
- [j2]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 V. Zakharov, Alexey Lagunin, Tatyana Gloriozova, Sergey Novikov, Natalia Skvortsova, Dmitry S. Druzhilovskiy, Sunil Chawla, Indira Ghosh, Surajit Ray, Hitesh Patel, Sylvia Escher:
Collaborative development of predictive toxicology applications. J. Cheminformatics 2: 7 (2010) - [j1]Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer:
A Study of Hierarchical and Flat Classification of Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 7(3): 563-571 (2010) - [c4]Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer:
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. AAAI 2010: 1268-1273 - [c3]Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer:
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships. Discovery Science 2010: 341-355 - [c2]Érick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer:
A Numerical Refinement Operator Based on Multi-Instance Learning. ILP 2010: 14-21 - [c1]Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer:
Online Structural Graph Clustering Using Frequent Subgraph Mining. ECML/PKDD (3) 2010: 213-228
Coauthor Index
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