Thomas Gärtner

Orcid: 0000-0001-5985-9213

Affiliations:
  • TU Wien, Institute of Information Systems Engineering, Austria
  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Sankt Augustin, Germany
  • University of Bonn, Institute of Computer Science, Germany


According to our database1, Thomas Gärtner authored at least 69 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reaction rebalancing: a novel approach to curating reaction databases.
J. Cheminformatics, December, 2024

Logical Distillation of Graph Neural Networks.
CoRR, 2024

Scalable Interactive Data Visualization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

The Expressive Power of Path-Based Graph Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Improving Expert Specialization in Mixture of Experts.
CoRR, 2023

Expressivity-Preserving GNN Simulation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Expectation-Complete Graph Representations with Homomorphisms.
Proceedings of the International Conference on Machine Learning, 2023

2022
Kernel Methods for Predicting Yields of Chemical Reactions.
J. Chem. Inf. Model., 2022

Online Learning of Convex Sets on Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Active Learning of Convex Halfspaces on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Interactive Machine Learning with Structured Data.
Proceedings of the Conference "Lernen, 2020

2019
Scalable Learning in Reproducing Kernel Krein Spaces.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Corresponding Projections for Orphan Screening.
CoRR, 2018

Large Scale Learning with Kreĭn Kernels.
CoRR, 2018

Learning in Reproducing Kernel Krein Spaces.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Graph Kernels.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Co-Regularised Support Vector Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Effective Parallelisation for Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nyström Method with Kernel K-means++ Samples as Landmarks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Active Search in Intensionally Specified Structured Spaces.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning.
Mach. Learn., 2016

Greedy Feature Construction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Ligand-Based Virtual Screening with Co-regularised Support Vector Regression.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Introducing the 'active search' method for iterative virtual screening.
J. Comput. Aided Mol. Des., 2015

2014
Interactive Knowledge-Based Kernel PCA.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Predicting unexpected influxes of players in EVE online.
Proceedings of the 2014 IEEE Conference on Computational Intelligence and Games, 2014

2013
InVis: A Tool for Interactive Visual Data Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Linear space direct pattern sampling using coupling from the past.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Dynamic difficulty for checkers and Chinese chess.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011
Predicting Dynamic Difficulty.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Direct Pattern Sampling with Respect to Pattern Frequency.
Proceedings of the Report of the symposium "Lernen, 2011

Direct local pattern sampling by efficient two-step random procedures.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A Fixed Parameter Tractable Integer Program for Finding the Maximum Order Preserving Submatrix.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Graph Kernels.
Proceedings of the Encyclopedia of Machine Learning, 2010

Formal Concept Sampling for Counting and Threshold-Free Local Pattern Mining.
Proceedings of the SIAM International Conference on Data Mining, 2010

Counting-based Output Prediction for Orphan Screening.
Proceedings of the LWA 2010, 2010

On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms.
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Label Ranking Algorithms: A Survey.
Proceedings of the Preference Learning., 2010

2009
On structured output training: hard cases and an efficient alternative.
Mach. Learn., 2009

Guest editors' introduction: special issue on mining and learning with graphs.
Mach. Learn., 2009

Ligand Prediction from Protein Sequence and Small Molecule Information Using Support Vector Machines and Fingerprint Descriptors.
J. Chem. Inf. Model., 2009

Probabilistic Structured Predictors.
Proceedings of the UAI 2009, 2009

Player Modeling for Intelligent Difficulty Adjustment.
Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Context-Based Clustering of Image Search Results.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

On the Complexity of Constraint-Based Theory Extraction.
Proceedings of the Discovery Science, 12th International Conference, 2009

2008
Kernels for Structured Data
Series in Machine Perception and Artificial Intelligence 72, WorldScientific, ISBN: 978-981-4471-03-9, 2008

Support-Vector-Machine-Based Ranking Significantly Improves the Effectiveness of Similarity Searching Using 2D Fingerprints and Multiple Reference Compounds.
J. Chem. Inf. Model., 2008

Towards Engaging Games.
Proceedings of the LWA 2008, 2008

Regularization path for Ranking SVM.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Semidefinite Ranking on Graphs.
Proceedings of the Mining and Learning with Graphs, 2007

Efficient Kernel Methods for Graphs.
Proceedings of the Mining and Learning with Graphs, 2007

The Cost of Learning Directed Cuts.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Graph kernels and Gaussian processes for relational reinforcement learning.
Mach. Learn., 2006

Simpler knowledge-based support vector machines.
Proceedings of the Machine Learning, 2006

Efficient co-regularised least squares regression.
Proceedings of the Machine Learning, 2006

Transductive Gaussian Process Regression with Automatic Model Selection.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Large-Scale Multiclass Transduction.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Kernfunktionen für Strukturierte Daten.
Proceedings of the Ausgezeichnete Informatikdissertationen 2005, 2005

Kernels for Predictive Graph Mining.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Kernels for structured data.
PhD thesis, 2005

2004
Kernels and Distances for Structured Data.
Mach. Learn., 2004

Cyclic pattern kernels for predictive graph mining.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Fisher Kernels for Logical Sequences.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
A survey of kernels for structured data.
SIGKDD Explor., 2003

On Graph Kernels: Hardness Results and Efficient Alternatives.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002
Kernels for Structured Data.
Proceedings of the Inductive Logic Programming, 12th International Conference, 2002

Multi-Instance Kernels.
Proceedings of the Machine Learning, 2002

2001
WBCsvm: Weighted Bayesian Classification based on Support Vector Machines.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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