82 citations
- Friedrich Schiller University JenaDE3 papers
- American Industrial Partners (United States)US1 paper
- Arcetri Astrophysical ObservatoryIT1 paper
- Astronomy and SpaceAU1 paper
- Institut de Planétologie et d'Astrophysique de GrenobleFR1 paper
- Institute of AstronomyRU1 paper
- Institute of MagnetismUA1 paper
- Novosibirsk State Technical UniversityRU1 paper
- Osservatorio Astronomico di PalermoIT1 paper
- Pennsylvania State UniversityUS1 paper
- University of BradfordGB1 paper
- University of CambridgeGB1 paper
12 papers
Spin Waves in a Periodically Layered Magnetic Nanowire
V. V. Kruglyak, R. J. Hicken, A. N. Kuchko +1
We report a simple theoretical derivation of the spectrum and damping of spin waves in a cylindrical periodically structured magnetic nanowire (cylindrical magnonic crystal) in the…
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…
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…
Comparison of the Bayesian and Randomised Decision Tree Ensembles within an Uncertainty Envelope Technique
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge +4
Multiple Classifier Systems (MCSs) allow evaluation of the uncertainty of classification outcomes that is of crucial importance for safety critical applications. The uncertainty of…
Estimating Classification Uncertainty of Bayesian Decision Tree Technique on Financial Data
Vitaly Schetinin, Jonathan E. Fieldsend, Derek Partridge +4
Bayesian averaging over classification models allows the uncertainty of classification outcomes to be evaluated, which is of crucial importance for making reliable decisions in app…
A Neural-Network Technique for Recognition of Filaments in Solar Images
V. V. Zharkova, V. Schetinin
We describe a new neural-network technique developed for an automated recognition of solar filaments visible in the hydrogen H-alpha line full disk spectroheliograms. This techniqu…