Thomas Gärtner

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Stefan WrobelFraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Peter FlachProfessor of Artificial Intelligence, Department of Computer Science, University of BristolVerified email at bristol.ac.uk
Alex SmolaAmazon Web ServicesVerified email at smola.org
Olana MissuraAutonomous Intelligent Driving GmbHVerified email at aid-driving.eu
Dino OglicAstraZeneca CambridgeVerified email at astrazeneca.com
Mario BoleyMonash UniversityVerified email at monash.edu
Daniel PauratTelekom Deutschland TechnikVerified email at telekom.de
Shankar VembuVerified email at argmix.com
Jan RamonERC principal investigator, KU Leuven, BelgiumVerified email at cs.kuleuven.be
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
John LloydEmeritus Professor of Computer Science, The Australian National UniversityVerified email at cecs.anu.edu.au
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
Jürgen BajorathProfessor of Life Science Informatics, University of BonnVerified email at bit.uni-bonn.de
Adam KowalczykPrincipal Scientist, National ICT AustraliaVerified email at unimelb.edu.au
Jonathan HirstProfessor of Computational Chemistry, University of NottinghamVerified email at nottingham.ac.uk
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Michael KampInstitute for AI in Medicine (IKIM) at UK Essen and Ruhr-University BochumVerified email at uk-essen.de
Claudio LuccheseFull Professor, Ca' Foscari University of VeniceVerified email at unive.it
Tobias SchefferUniversity of Potsdam, GermanyVerified email at cs.uni-potsdam.de

Thomas Gärtner

TU Wien (Technical University of Vienna)

Verified email at tuwien.ac.at - Homepage

Machine Learning Data Mining


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On graph kernels: Hardness results and efficient alternatives T Gärtner, P Flach, S Wrobel Learning theory and kernel machines, 129-143, 2003	1103	2003
Multi-instance kernels T Gärtner, PA Flach, A Kowalczyk, AJ Smola ICML 2 (3), 7, 2002	654	2002
A survey of kernels for structured data T Gärtner ACM SIGKDD explorations newsletter 5 (1), 49-58, 2003	607	2003
Cyclic pattern kernels for predictive graph mining T Horváth, T Gärtner, S Wrobel Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	405	2004
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner Proceedings of the first international workshop on mining graphs, trees and …, 2003	316	2003
Kernels for structured data T Gärtner World Scientific Pub Co Inc, 2009	227*	2009
Efficient co-regularised least squares regression U Brefeld, T Gärtner, T Scheffer, S Wrobel Proceedings of the 23rd international conference on Machine learning, 137-144, 2006	217	2006
Kernels and distances for structured data T Gärtner, JW Lloyd, PA Flach Machine Learning 57 (3), 205-232, 2004	208	2004
Label ranking algorithms: A survey S Vembu, T Gärtner Preference learning, 45-64, 2010	152	2010
Player modeling for intelligent difficulty adjustment O Missura, T Gärtner International Conference on Discovery Science, 197-211, 2009	130	2009
Direct local pattern sampling by efficient two-step random procedures M Boley, C Lucchese, D Paurat, T Gärtner Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	100	2011
Exponential and geometric kernels for graphs T Gartner NIPS^* 02 Workshop on Unreal Data: Principles of Modeling Nonvectorial Data, 2002	95	2002
Kernels for structured data T Gaertner, J Lloyd, P Flach Inductive Logic Programming, 66-83, 2003	94	2003
Kernels for structured data T Gärtner, JW Lloyd, PA Flach International Conference on Inductive Logic Programming, 66-83, 2002	94	2002
Kernels for structured data T Gärtner, JW Lloyd, PA Flach International Conference on Inductive Logic Programming, 66-83, 2002	94	2002
Graph kernels and gaussian processes for relational reinforcement learning T Gärtner, K Driessens, J Ramon International Conference on Inductive Logic Programming, 146-163, 2003	85	2003
Support-vector-machine-based ranking significantly improves the effectiveness of similarity searching using 2D fingerprints and multiple reference compounds H Geppert, T Horváth, T Gärtner, S Wrobel, J Bajorath Journal of chemical information and modeling 48 (4), 742-746, 2008	79	2008
Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64 (1), 91-119, 2006	67	2006
Ligand prediction from protein sequence and small molecule information using support vector machines and fingerprint descriptors H Geppert, J Humrich, D Stumpfe, T Gärtner, J Bajorath Journal of Chemical Information and Modeling 49 (4), 767-779, 2009	65	2009
Formal concept sampling for counting and threshold-free local pattern mining M Boley, T Gärtner, H Grosskreutz Proceedings of the 2010 SIAM International Conference on Data Mining, 177-188, 2010	54	2010

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