Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction. - John E. Moody; Joachim Utans (NIPS, 1991)

Improving Convergence in Hierarchical Matching Networks for Object Recognition. - Joachim Utans; Gene Gindi (NIPS, 1992)

Learning in Compositional Hierarchies: Inducing the Structure of Objects from Data. - Joachim Utans (NIPS, 1993)

Statistical Physics, Mixtures of Distributions, and the EM Algorithm. - Alan L. Yuille; Paul E. Stolorz; Joachim Utans (Neural Comput., 1994)

Input variable selection for neural networks: application to predicting the U.S. business cycle. - Joachim Utans; John E. Moody; Steven Rehfuss; Hava T. Siegelmann (CIFEr, 1995)

Stopped training via algebraic online estimation of the expected test-set error. - Joachim Utans (ICNN, 1997)

A Non-convergent On-Line Training Algorithm for Neural Networks. - Joachim Utans (IWANN, 1997)