Sergey Dolenko

发表

The Solution to the Problem of Classifying High-Dimension fMRI Data Based on the Spark Platform

Alexander Efitorov, Vladimir Shirokii, Vyacheslav Orlov, 2020 .

Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data

Sergey Dolenko, Igor Isaev, S. Dolenko, 2016, BICA 2016.

Use of Ensemble Approach and Stacked Generalization for Neural Network Prediction of Geomagnetic Dst Index

Sergey Dolenko, Vladimir Shiroky, Irina N. Myagkova, 2016 .

Methods of input data compression in neural network solution of inverse problems of spectroscopy of multi-component solutions

I. G. Persiantsev, Alexander Efitorov, Sergey Dolenko, 2013 .

Application of Adaptive Neural Network Algorithms for Determination of Salt Composition of Waters Using Laser Spectroscopy

Alexander Efitorov, Sergey Dolenko, Sergey Burikov, 2014 .

Using Domain Knowledge for Feature Selection in Neural Network Solution of the Inverse Problem of Magnetotelluric Sounding

Sergey Dolenko, Igor Isaev, E. A. Obornev, 2020 .

Use of Wavelet Neural Networks to Solve Inverse Problems in Spectroscopy of Multi-component Solutions

Alexander Efitorov, Sergey Dolenko, Sergey Burikov, 2019, Studies in Computational Intelligence.

Patterns of Cognitive Activity in a Human vs Collaborative Robot Interactive Game

Vladimir Shirokii, Sergey Dolenko, Alexei V. Samsonovich, 2018, BICA.

Adaptive Neuro-Fuzzy Inference System Used to Classify the Measurements of Chemical Sensors

Alexander Efitorov, Sergey Dolenko, S. Dolenko, 2018, Biologically Inspired Cognitive Architectures 2018.

The Prediction of the Dst-Index Based on Machine Learning Methods

Alexander Efitorov, Sergey Dolenko, Irina N. Myagkova, 2018, Cosmic Research.

Significant Feature Selection in Neural Network Solution of an Inverse Problem in Spectroscopy

Alexander Efitorov, Sergey Dolenko, Sergey Burikov, 2015 .

Feature Selection in Neural Network Solution of Inverse Problem Based on Integration of Optical Spectroscopic Methods

Sergey Dolenko, Olga Sarmanova, Igor Isaev, 2020 .

Neural Network Algorithm for Solving 3d Inverse Problem of Geoelectrics

Sergey Dolenko, E. A. Obornev, I. E. Obornev, 2019 .

Kohonen Self-Organizing Maps as a New Method for Determination of Salt Composition of Multi-Component Solutions

Sergey Dolenko, Sergey Burikov, Tatiana A. Dolenko, 2014 .

Group Determination of Parameters and Training with Noise Addition: Joint Application to Improve the Resilience of the Neural Network Solution of a Model Inverse Problem to Noise in Data

Sergey Dolenko, Igor Isaev, 2018, BICA 2018.

The use of artificial neural network segmentation of multivariate time series for the analysis of geomagnetic disturbances

I. G. Persiantsev, Sergey Dolenko, Irina N. Myagkova, 2016 .

Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts: Group Determination as a Method to Increase Noise Resilience of the Solution

Sergey Dolenko, Olga Sarmanova, Igor Isaev, 2018 .

Control and Prediction of Radiation Environment in the Frame of Space Monitoring Data Center at Moscow State University

Alexander Efitorov, Sergey Dolenko, Vladimir Kalegaev, 2017 .

Using Artificial Neural Networks for Optical Imaging of Fluorescent Biomarkers

Sergey Dolenko, Sergey Burikov, K. A. Laptinskiy, 2014 .

Radiation Environment at LEO in the frame of Space Monitoring Data Center at Moscow State University - recent, current and future missions

Sergey Dolenko, A. V. Bogomolov, Vladimir Kalegaev, 2016 .

Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body

Alexander Efitorov, Sergey Dolenko, Olga Sarmanova, 2018, BICA.

Study of Efficiency of Dividing the Problem Space as a Means to Improve Solution of Multi-parameter Inverse Problem by Adaptive Methods

Alexander Efitorov, Sergey Dolenko, Sergey Burikov, 2018 .