Wrobel, Stefan

37 publications

TMLR 2025 Detecting Systematic Weaknesses in Vision Models Along Predefined Human-Understandable Dimensions Sujan Sai Gannamaneni, Rohil Prakash Rao, Michael Mock, Maram Akila, Stefan Wrobel

MLJ 2025 Improving Graph Neural Networks Through Feature Importance Learning Fouad Alkhoury, Tamás Horváth, Christian Bauckhage, Stefan Wrobel

TMLR 2025 Learning to Rank Features to Enhance Graph Neural Networks for Graph Classification Fouad Alkhoury, Tamas Horvath, Christian Bauckhage, Stefan Wrobel

ECML-PKDD 2025 The Local Convexification Method and Its Application to Learning Weakly Convex Boolean Functions Eike Stadtländer, Tamás Horváth, Stefan Wrobel

MLJ 2024 Wasserstein Dropout Joachim Sicking, Maram Akila, Maximilian Pintz, Tim Wirtz, Stefan Wrobel, Asja Fischer

MLJ 2022 A Generalized Weisfeiler-Lehman Graph Kernel Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel

AAAI 2022 Graph Filtration Kernels Till Hendrik Schulz, Pascal Welke, Stefan Wrobel

ICLRW 2022 Multi-Agent Neural Rewriter for Vehicle Routing with Limited Disclosure of Costs Nathalie Paul, Alexander Kiser, Tim Wirtz, Stefan Wrobel

ECML-PKDD 2021 Learning Weakly Convex Sets in Metric Spaces Eike Stadtländer, Tamás Horváth, Stefan Wrobel

MLJ 2020 Effective Approximation of Parametrized Closure Systems over Transactional Data Streams Daniel Trabold, Tamás Horváth, Stefan Wrobel

ECML-PKDD 2020 Maximum Margin Separations in Finite Closure Systems Florian Seiffarth, Tamás Horváth, Stefan Wrobel

ECML-PKDD 2019 Maximal Closed Set and Half-Space Separations in Finite Closure Systems Florian Seiffarth, Tamás Horváth, Stefan Wrobel

MLJ 2019 Probabilistic and Exact Frequent Subtree Mining in Graphs Beyond Forests Pascal Welke, Tamás Horváth, Stefan Wrobel

ECML-PKDD 2018 Efficient Decentralized Deep Learning by Dynamic Model Averaging Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

ECML-PKDD 2018 Mining Tree Patterns with Partially Injective Homomorphisms Till Hendrik Schulz, Tamás Horváth, Pascal Welke, Stefan Wrobel

MLJ 2018 Probabilistic Frequent Subtrees for Efficient Graph Classification and Retrieval Pascal Welke, Tamás Horváth, Stefan Wrobel

ECML-PKDD 2017 Co-Regularised Support Vector Regression Katrin Ullrich, Michael Kamp, Thomas Gärtner, Martin Vogt, Stefan Wrobel

ECML-PKDD 2012 Pedestrian Quantity Estimation with Trajectory Patterns Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel

MLJ 2011 Introduction to the Special Issue on Mining and Learning with Graphs S. V. N. Vishwanathan, Samuel Kaski, Jennifer Neville, Stefan Wrobel

ECML-PKDD 2008 Tight Optimistic Estimates for Fast Subgroup Discovery Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel

ICML 2006 Efficient Co-Regularised Least Squares Regression Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel

ECML-PKDD 2006 Multi-Class Ensemble-Based Active Learning Christine Körner, Stefan Wrobel

ICML 2005 Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005 Luc De Raedt, Stefan Wrobel

ICML 2004 A Comparative Study on Methods for Reducing Myopia of Hill-Climbing Search in Multirelational Learning Lourdes Peña Castillo, Stefan Wrobel

IJCAI 2003 Learning Minesweeper with Multirelational Learning Lourdes Peña Castillo, Stefan Wrobel

COLT 2003 On Graph Kernels: Hardness Results and Efficient Alternatives Thomas Gärtner, Peter A. Flach, Stefan Wrobel

JMLR 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling Tobias Scheffer, Stefan Wrobel

ECML-PKDD 2002 Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique Lourdes Peña Castillo, Stefan Wrobel

ECML-PKDD 2002 Scaling Boosting by Margin-Based Inclusionof Features and Relations Susanne Hoche, Stefan Wrobel

ICML 2001 Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems Tobias Scheffer, Stefan Wrobel

MLJ 2001 Relational Instance-Based Learning with Lists and Terms Tamás Horváth, Stefan Wrobel, Uta Bohnebeck

ECML-PKDD 2001 Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery Stefan Wrobel

ALT 1998 Scalability Issues in Inductive Logic Programming Stefan Wrobel

ECML-PKDD 1995 Machine Learning: ECML-95, 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25-27, 1995, Proceedings Nada Lavrac, Stefan Wrobel

MLJ 1994 Concept Formation During Interactive Theory Revision Stefan Wrobel

ECML-PKDD 1993 On the Proper Definition of Minimality in Specialization and Theory Revision Stefan Wrobel

IJCAI 1991 Towards a Model of Grounded Concept Formation Stefan Wrobel