1.8k citations
- University of California, BerkeleyUS9 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- University of Wisconsin–MadisonUS6 papers
- Arizona State UniversityUS5 papers
- California Institute of TechnologyUS5 papers
- Drexel UniversityUS5 papers
- Pennsylvania State UniversityUS5 papers
- University of ArizonaUS5 papers
- University of MichiganUS5 papers
- Fermi National Accelerator LaboratoryUS4 papers
- Institute of AstronomyRU4 papers
- Max Planck Institute for AstronomyDE4 papers
11 papers · 1 filter
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…