Alexander Efitorov

Orcid: 0000-0003-2569-606X

According to our database1, Alexander Efitorov authored at least 10 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018
A Neural Network of Multiresolution Wavelet Analysis.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Comparison of nonlinear methods of motion correction in fMRI data.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body.
Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017
GPU-based high-performance computing of multichannel EEG phase wavelet synchronization.
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

Study of Efficiency of Dividing the Problem Space as a Means to Improve Solution of Multi-parameter Inverse Problem by Adaptive Methods.
Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

2016
Solution of an Inverse Problem in Raman Spectroscopy of Multi-component Solutions of Inorganic Salts by Artificial Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Analysis of Mercury's Magnetosphere States based on MESSENGER data by Kohonen Neural Network and other Clustering Algorithms<sup>1</sup>.
Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016

2015
Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of the Ionic Composition of Multi-component Water Solutions.
Proceedings of the Engineering Applications of Neural Networks, 2015

2014
Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of Partial Concentrations of Salts in Multi-сomponent Water Solutions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014


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