Fabian Buchwald

Madeleine Seeland, Fabian Buchwald, Stefan Kramer, Bernhard Pfahringer: Maximum Common Subgraph based locally weighted regression. SAC 2012: 165-172

Tobias Hamp, Fabian Birzele, Fabian Buchwald, Stefan Kramer: Improving structure alignment-based prediction of SCOP families using Vorolign Kernels. Bioinformatics 27(2): 204-210 (2011)

Fabian Buchwald, Lothar Richter, Stefan Kramer: Predicting a small molecule-kinase interaction map: A machine learning approach. J. Cheminformatics 3: 22 (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)

Arthur Zimek, Fabian Buchwald, Eibe Frank, Stefan Kramer: A Study of Hierarchical and Flat Classification of Proteins. IEEE/ACM Trans. Comput. Biology Bioinform. 7(3): 563-571 (2010)

Fabian Buchwald, Tobias Girschick, Eibe Frank, Stefan Kramer: Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships. AAAI 2010

Ulrich Rückert, Tobias Girschick, Fabian Buchwald, Stefan Kramer: Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships. Discovery Science 2010: 341-355

Érick Alphonse, Tobias Girschick, Fabian Buchwald, Stefan Kramer: A Numerical Refinement Operator Based on Multi-Instance Learning. ILP 2010: 14-21

Madeleine Seeland, Tobias Girschick, Fabian Buchwald, Stefan Kramer: Online Structural Graph Clustering Using Frequent Subgraph Mining. ECML/PKDD (3) 2010: 213-228