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ORCIDJoachim Schult
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2020 – today
- 2023
[j5]Joachim Schult, Onno Preik, Stefan Kirschner
, Frank Friedrich:
A biosemiotic interpretation of certain genital morphological structures in the spiders Dysdera erythrina and Dysdera crocata (Araneae: Dysderidae). Theory Biosci. 142(4): 371-382 (2023)
2010 – 2019
- 2011
- [c3]Livia Jakaite, Vitaly Schetinin, Joachim Schult:
Feature extraction from electroencephalograms for Bayesian assessment of newborn brain maturity. CBMS 2011: 1-6 - [c2]Vitaly Schetinin, Livia Jakaite, Joachim Schult:
Informativeness of sleep cycle features in Bayesian assessment of newborn electroencephalographic maturation. CBMS 2011: 1-6
2000 – 2009
- 2006
- [j4]Vitaly Schetinin, Joachim Schult:
Learning polynomial networks for classification of clinical electroencephalograms. Soft Comput. 10(4): 397-403 (2006) - 2005
- [j3]Vitaly Schetinin, Joachim Schult:
A neural-network technique to learn concepts from electroencephalograms. Theory Biosci. 124(1): 41-53 (2005) - [i5]Vitaly Schetinin, Joachim Schult:
Learning Polynomial Networks for Classification of Clinical Electroencephalograms. CoRR abs/cs/0504041 (2005) - [i4]Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin:
Learning Multi-Class Neural-Network Models from Electroencephalograms. CoRR abs/cs/0504052 (2005) - [i3]Vitaly Schetinin, Joachim Schult, Anatoly Brazhnikov:
Neural-Network Techniques for Visual Mining Clinical Electroencephalograms. CoRR abs/cs/0504064 (2005) - [i2]Vitaly Schetinin, Joachim Schult:
A Neural-Network Technique to Learn Concepts from Electroencephalograms. CoRR abs/cs/0504069 (2005) - [i1]Vitaly Schetinin, Joachim Schult:
The Combined Technique for Detection of Artifacts in Clinical Electroencephalograms of Sleeping Newborns. CoRR abs/cs/0504070 (2005) - 2004
- [j2]Vitaly Schetinin, Joachim Schult:
The combined technique for detection of artifacts in clinical electroencephalograms of sleeping newborns. IEEE Trans. Inf. Technol. Biomed. 8(1): 28-35 (2004) - 2003
- [c1]Vitaly Schetinin, Joachim Schult, Burkhart Scheidt, Valery Kuriakin:
Learning Multi-class Neural-Network Models from Electroencephalograms. KES 2003: 155-162 - 2001
- [j1]Joachim Schult, Jürgen Querengässer, Olaf Breidbach, Burkhart Scheidt, Thomas Erler:
The meaning of character combination for the separation of EEG-data. Theory Biosci. 120(2): 107-114 (2001)
Coauthor Index
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