| 2022 | AAAI | Graph Filtration Kernels. | Till Hendrik Schulz, Pascal Welke, Stefan Wrobel |
| 2022 | DIS | A Fast Heuristic for Computing Geodesic Closures in Large Networks. | Florian Seiffarth, Tams Horvth, Stefan Wrobel |
| 2020 | ICPR | Decision Snippet Features. | Pascal Welke, Fouad Alkhoury, Christian Bauckhage, Stefan Wrobel |
| 2020 | KDD | HOPS: Probabilistic Subtree Mining for Small and Large Graphs. | Pascal Welke, Florian Seiffarth, Michael Kamp, Stefan Wrobel |
| 2020 | SDM | Adiabatic Quantum Computing for Max-Sum Diversification. | Christian Bauckhage, Rafet Sifa, Stefan Wrobel |
| 2019 | ICANN | Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures. | Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Jannis Schcker, Stefan Wrobel |
| 2019 | ICIS | Artificial Intelligence Meets IS Researchers: Can it Replace Us? | Claudia Loebbecke, Omar El Sawy, Atreyi Kankanhalli, M. Lynne Markus, Dov Te'eni, Stefan Wrobel |
| 2018 | ICANN | Policy Learning Using SPSA. | Rajkumar Ramamurthy, Christian Bauckhage, Rafet Sifa, Stefan Wrobel |
| 2017 | ICANN | Using Echo State Networks for Cryptography. | Rajkumar Ramamurthy, Christian Bauckhage, Krisztin Bza, Stefan Wrobel |
| 2016 | DIS | Min-Hashing for Probabilistic Frequent Subtree Feature Spaces. | Pascal Welke, Tams Horvth, Stefan Wrobel |
| 2016 | ICDM | Ligand-Based Virtual Screening with Co-regularised Support Vector Regression. | Katrin Ullrich, Michael Kamp, Thomas Grtner, Martin Vogt, Stefan Wrobel |
| 2015 | ICRA | Whole-body self-calibration via graph-optimization and automatic configuration selection. | Daniel Maier, Stefan Wrobel, Maren Bennewitz |
| 2014 | GI | Big Data Analytics - Vom Maschinellen Lernen zur DataScience. | Stefan Wrobel |
| 2014 | ILP | On the Complexity of Frequent Subtree Mining in Very Simple Structures. | Pascal Welke, Tams Horvth, Stefan Wrobel |
| 2013 | KDD | One click mining: interactive local pattern discovery through implicit preference and performance learning. | Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, Stefan Wrobel |
| 2010 | GI | eHumanities: Intelligent Analysis and Information System for Humanities and Culture. | Sven Becker, Marion Borowski, Melanie Gnasa, Kai Stalmann, Stefan Wrobel |
| 2010 | KI | On-Line Handwriting Recognition with Parallelized Machine Learning Algorithms. | Sebastian Bothe, Thomas Grtner, Stefan Wrobel |
| 2009 | ICDM | Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters. | Dennis Wegener, Michael Mock, Deyaa Adranale, Stefan Wrobel |
| 2009 | ILP | A Logic-Based Approach to Relation Extraction from Texts. | Tams Horvth, Gerhard Paass, Frank Reichartz, Stefan Wrobel |
| 2009 | KI | Context-Based Clustering of Image Search Results. | Hongqi Wang, Olana Missura, Thomas Grtner, Stefan Wrobel |
| 2009 | SDM | Efficient Discovery of Interesting Patterns Based on Strong Closedness. | Mario Boley, Tams Horvth, Stefan Wrobel |
| 2006 | ICML | Efficient co-regularised least squares regression. | Ulf Brefeld, Thomas Grtner, Tobias Scheffer, Stefan Wrobel |
| 2006 | KDD | Frequent subgraph mining in outerplanar graphs. | Tams Horvth, Jan Ramon, Stefan Wrobel |
| 2006 | PAKDD | Bias-Free Hypothesis Evaluation in Multirelational Domains. | Christine Krner, Stefan Wrobel |
| 2006 | SAC | Effective rule induction from labeled graphs. | Tams Horvth, Susanne Hoche, Stefan Wrobel |
| 2006 | SAC | Bias-free hypothesis evaluation in multirelational domains. | Christine Krner, Stefan Wrobel |
| 2004 | ICML | A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning. | Lourdes Pea Castillo, Stefan Wrobel |
| 2004 | KDD | Cyclic pattern kernels for predictive graph mining. | Tams Horvth, Thomas Grtner, Stefan Wrobel |
| 2003 | COLT | On Graph Kernels: Hardness Results and Efficient Alternatives. | Thomas Grtner, Peter A. Flach, Stefan Wrobel |
| 2003 | IJCAI | Learning Minesweeper with Multirelational Learning. | Lourdes Pea Castillo, Stefan Wrobel |
| 2003 | ILP | A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting. | Susanne Hoche, Stefan Wrobel |
| 2003 | ILP | Comparative Evaluation of Approaches to Propositionalization. | Mark-A. Krogel, Simon Alan Rawles, Filip Zelezn, Peter A. Flach, Nada Lavrac, Stefan Wrobel |
| 2002 | DIS | Feature Selection for Propositionalization. | Mark-A. Krogel, Stefan Wrobel |
| 2001 | DIS | Towards Discovery of Deep and Wide First-Order Structures: A Case Study in the Domain of Mutagenicity. | Tams Horvth, Stefan Wrobel |
| 2001 | ICDM | Mining the Web with Active Hidden Markov Models. | Tobias Scheffer, Christian Decomain, Stefan Wrobel |
| 2001 | ICML | Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. | Tobias Scheffer, Stefan Wrobel |
| 2001 | ILP | Relational Learning Using Constrained Confidence-Rated Boosting. | Susanne Hoche, Stefan Wrobel |
| 2001 | ILP | Transformation-Based Learning Using Multirelational Aggregation. | Mark-A. Krogel, Stefan Wrobel |
| 2001 | IDA | Active Hidden Markov Models for Information Extraction. | Tobias Scheffer, Christian Decomain, Stefan Wrobel |
| 2000 | ILP | Extending K-Means Clustering to First-Order Representations. | Mathias Kirsten, Stefan Wrobel |
| 2000 | KDD | A sequential sampling algorithm for a general class of utility criteria. | Tobias Scheffer, Stefan Wrobel |
| 1999 | ILP | Application of Different Learning Methods to Hungarian Part-of-Speech Tagging. | Tams Horvth, Zoltn Alexin, Tibor Gyimthy, Stefan Wrobel |
| 1998 | ALT | Scalability Issues in Inductive Logic Programming. | Stefan Wrobel |
| 1998 | ILP | Term Comparisons in First-Order Similarity Measures. | Uta Bohnebeck, Tams Horvth, Stefan Wrobel |
| 1998 | ILP | Relational Distance-Based Clustering. | Mathias Kirsten, Stefan Wrobel |
| 1996 | KDD | Extensibility in Data Mining Systems. | Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde |
| 1991 | IJCAI | Towards a Model of Grounded Concept Formation. | Stefan Wrobel |
| 1987 | KI | Higher-order Concepts in a Tractable Knowledge Representation. | Stefan Wrobel |