| 2004 | ESANN | SVM learning with the SH inner product. | Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki |
| 2004 | ESANN | The maximum weighted clique problem and Hopfield networks. | Brijnesh J. Jain, Fritz Wysotzki |
| 2004 | IJCNN | Multi-layer perceptron learning in the domain of attributed graphs. | Brijnesh J. Jain, Fritz Wysotzki |
| 2004 | KI | Combining Recurrent Neural Networks and Support Vector Machines for Structural Pattern Recognition. | Brijnesh J. Jain, Peter Geibel, Fritz Wysotzki |
| 2004 | SSPR | Structural Perceptrons for Attributed Graphs. | Brijnesh J. Jain, Fritz Wysotzki |
| 2003 | ESANN | A Neural Graph Isomorphism Algorithm based on local Invariants. | Brijnesh J. Jain, Fritz Wysotzki |
| 2003 | ESANN | An Associative Memory for the Automorphism Group of Structures. | Brijnesh J. Jain, Fritz Wysotzki |
| 2003 | ICANN | A Novel Neural Network Approach to Solve Exact and Inexact Graph Isomorphism Problems. | Brijnesh J. Jain, Fritz Wysotzki |
| 2003 | ICML | Perceptron Based Learning with Example Dependent and Noisy Costs. | Peter Geibel, Fritz Wysotzki |
| 2003 | IJCNN | Perceptron learning in the domain of graphs. | Brijnesh J. Jain, Fritz Wysotzki |
| 2003 | IDA | Learning Linear Classifiers Sensitive to Example Dependent and Noisy Costs. | Peter Geibel, Ulf Brefeld, Fritz Wysotzki |
| 2003 | KI | Applied Connectionistic Methods in Computer Vision to Compare Segmented Images. | Stefan Bischoff, D. Reuss, Fritz Wysotzki |
| 2003 | KI | Spatial Inference - Combining Learning and Constraint Solving. | Carsten Gips, Fritz Wysotzki |
| 2003 | KI | A k-Winner-Takes-All Classifier for Structured Data. | Brijnesh J. Jain, Fritz Wysotzki |
| 2002 | AISC | Inductive Synthesis of Functional Programs. | Emanuel Kitzelmann, Ute Schmid, Martin Mhlpfordt, Fritz Wysotzki |
| 2002 | KI | Learning of Class Descriptions from Class Discriminations: A Hybrid Approach for Relational Objects. | Peter Geibel, Kristina Schdler, Fritz Wysotzki |
| 2002 | KI | Spatial Inference - Learning vs. Constraint Solving. | Carsten Gips, Petra Hofstedt, Fritz Wysotzki |
| 2002 | KI | Fast Winner-Takes-All Networks for the Maximum Clique Problem. | Brijnesh J. Jain, Fritz Wysotzki |
| 2002 | KI | Integrating Function Application in State-Based Planning. | Ute Schmid, Marina Mller, Fritz Wysotzki |
| 2001 | ESANN | On the short-term-memory of WTA nets. | Brijnesh J. Jain, Fritz Wysotzki |
| 2001 | ICANN | Efficient Pattern Discrimination with Inhibitory WTA Nets. | Brijnesh J. Jain, Fritz Wysotzki |
| 1998 | ESANN | Application of a neural net in classification and knowledge discovery. | Kristina Schdler, Fritz Wysotzki |
| 1997 | ILP | A Logical Framework for Graph Theoretical Decision Tree Learning. | Peter Geibel, Fritz Wysotzki |
| 1997 | IDA | A Connectionist Approach to the Distance-Based Analysis of Relational Data. | Kristina Schdler, Fritz Wysotzki |
| 1996 | ECAI | Relational Learning with Decision Trees. | Peter Geibel, Fritz Wysotzki |
| 1996 | ICML | Learning Relational Concepts with Decision Trees. | Peter Geibel, Fritz Wysotzki |
| 1996 | ILP | Efficient Theta-Subsumption Based on Graph Algorithms. | Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki |
| 1986 | AIMSA | Program Synthesis by Hierarchical Planning. | Fritz Wysotzki |
| 1983 | IJCAI | Representation and Induction of Infinite Concepts and Recursive Action Sequences. | Fritz Wysotzki |
| 1981 | IJCAI | Concept Learning by Structured Examples - An Algebraic Approach. | Fritz Wysotzki, Werner Kolbe, Joachim Selbig |