487 citations
- Universidad Michoacana de San Nicolás de HidalgoMX9 papers
- Max Planck Institute for Gravitational PhysicsDE7 papers
- University of MississippiUS5 papers
- Utrecht UniversityNL5 papers
- Florida Atlantic UniversityUS3 papers
- Imperial College LondonGB3 papers
- Instituto Superior TécnicoPT3 papers
- Jet Propulsion LaboratoryUS3 papers
- Max Planck Institute for Extraterrestrial PhysicsDE3 papers
- Max Planck SocietyDE3 papers
- Schiller International UniversityFR3 papers
- University of ExeterGB3 papers
Showing cs.NEShow all
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cs.NE2005
The Combined Technique for Detection of Artifacts in Clinical Electroencephalograms of Sleeping Newborns
Vitaly Schetinin, Joachim Schult
In this paper we describe a new method combining the polynomial neural network and decision tree techniques in order to derive comprehensible classification rules from clinical ele…
cs.NE2005
A Neural-Network Technique to Learn Concepts from Electroencephalograms
Vitaly Schetinin, Joachim Schult
A new technique is presented developed to learn multi-class concepts from clinical electroencephalograms. A desired concept is represented as a neuronal computational model consist…
cs.NE2005★ 4 cited
A Learning Algorithm for Evolving Cascade Neural Networks
Vitaly Schetinin
A new learning algorithm for Evolving Cascade Neural Networks (ECNNs) is described. An ECNN starts to learn with one input node and then adding new inputs as well as new hidden neu…