Extended Bayesian learning. - Steffen Gutjahr; Christian Nautze (ESANN, 1997)

Automatic determination of optimal network topologies based on information theory and evolution. - Thomas Ragg; Steffen Gutjahr (EUROMICRO, 1997)

Elliptical Basis Function Networks for Classification Tasks. - Steffen Gutjahr; Joachim Feist (ICANN, 1997)

Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series Prediction. - Thomas Ragg; Steffen Gutjahr (ICANN, 1997)

Improving Generalization Performance of Neural Networks by Constructing Orthonormal Weight Vectors. - Steffen Gutjahr (IIA/SOCO, 1999)

Optimierung neuronaler Netze mit der Bayes'schen Methode. - Steffen Gutjahr (Shaker, 1999)