The meaning of character combination for the separation of EEG-data. - Joachim Schult; Jürgen Querengässer; Olaf Breidbach; Burkhart Scheidt; Thomas Erler (Theory Biosci., 2001)

Learning Multi-class Neural-Network Models from Electroencephalograms. - Vitaly Schetinin; Joachim Schult; Burkhart Scheidt; Valery Kuriakin (KES, 2003)

The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns. - Vitaly Schetinin; Joachim Schult (IEEE Trans. Inf. Technol. Biomed., 2004)

Neural-Network Techniques for Visual Mining Clinical Electroencephalograms - Vitaly Schetinin; Joachim Schult; Anatoly Brazhnikov (CoRR, 2005)

A neural-network technique to learn concepts from electroencephalograms. - Vitaly Schetinin; Joachim Schult (Theory Biosci., 2005)

Learning polynomial networks for classification of clinical electroencephalograms. - Vitaly Schetinin; Joachim Schult (Soft Comput., 2006)

Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity. - Livia Jakaite; Vitaly Schetinin; Joachim Schult (CBMS, 2011)

Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation. - Vitaly Schetinin; Livia Jakaite; Joachim Schult (CBMS, 2011)

A biosemiotic interpretation of certain genital morphological structures in the spiders Dysdera erythrina and Dysdera crocata (Araneae: Dysderidae). - Joachim Schult; Onno Preik; Stefan Kirschner; Frank Friedrich (Theory Biosci., 2023)