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
Mario BoleyMonash UniversityVerified email at monash.edu
Dino OglicAstraZenecaVerified email at astrazeneca.com
Daniel PauratTelekom Deutschland TechnikVerified email at telekom.de
Jan RamonERC principal investigator, KU Leuven, BelgiumVerified email at cs.kuleuven.be
Shankar VembuVerified email at argmix.com
Roman GarnettWashington University in St. LouisVerified email at wustl.edu
Quoc V. LeResearch Scientist, Google BrainVerified email at stanford.edu
John LloydEmeritus Professor of Computer Science, The Australian National UniversityVerified email at cecs.anu.edu.au
Adam KowalczykPrincipal Scientist, National ICT AustraliaVerified email at unimelb.edu.au
Jürgen BajorathProfessor of Life Science Informatics, University of BonnVerified email at bit.uni-bonn.de
Ulf BrefeldLeuphana Universität LüneburgVerified email at leuphana.de
Kurt DriessensAssociate Professor, Maastricht UniversityVerified email at maastrichtuniversity.nl
Michael KampMonash UniversityVerified email at monash.edu
Tobias SchefferUniversity of Potsdam, GermanyVerified email at cs.uni-potsdam.de
Claudio LuccheseAssociate Professor, Ca' Foscari University of VeniceVerified email at isti.cnr.it
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU Darmstadt, GermanyVerified email at cs.tu-darmstadt.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	998	2003
Multi-instance kernels T Gärtner, PA Flach, A Kowalczyk, AJ Smola ICML 2 (3), 7, 2002	610	2002
A survey of kernels for structured data T Gärtner ACM SIGKDD Explorations Newsletter 5 (1), 49-58, 2003	586	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	387	2004
Expressivity versus efficiency of graph kernels J Ramon, T Gärtner Proceedings of the first international workshop on mining graphs, trees and …, 2003	293	2003
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	208	2006
Kernels and distances for structured data T Gärtner, JW Lloyd, PA Flach Machine Learning 57 (3), 205-232, 2004	206	2004
Kernels for structured data T Gärtner World Scientific Pub Co Inc, 2009	201*	2009
Label ranking algorithms: A survey S Vembu, T Gärtner Preference learning, 45-64, 2010	149	2010
Player modeling for intelligent difficulty adjustment O Missura, T Gärtner International Conference on Discovery Science, 197-211, 2009	116	2009
Exponential and geometric kernels for graphs T Gartner NIPS^* 02 Workshop on Unreal Data: Principles of Modeling Nonvectorial Data, 2002	94	2002
Kernels for structured data T Gaertner, J Lloyd, P Flach Inductive Logic Programming, 66-83, 2003	93	2003
Kernels for structured data T Gärtner, JW Lloyd, PA Flach International Conference on Inductive Logic Programming, 66-83, 2002	93	2002
Kernels for structured data T Gärtner, JW Lloyd, PA Flach International Conference on Inductive Logic Programming, 66-83, 2002	93	2002
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	85	2011
Graph kernels and gaussian processes for relational reinforcement learning T Gärtner, K Driessens, J Ramon International Conference on Inductive Logic Programming, 146-163, 2003	84	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	73	2008
Graph kernels and Gaussian processes for relational reinforcement learning K Driessens, J Ramon, T Gärtner Machine Learning 64 (1-3), 91-119, 2006	62	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	58	2009
Simpler knowledge-based support vector machines QV Le, AJ Smola, T Gärtner Proceedings of the 23rd international conference on machine learning, 521-528, 2006	49	2006

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