Construction of Hierarchical Neural Classifers by Self-Organizing Error Back-Propagation. - S. A. Dolenko; Yu. V. Orlov; I. G. Persiantsev; Ju. S. Shugai (NC, 1998)

Solution of Inverse Problems in Laser Spectroscopy of Water Media with the Help of Neural Networks. - S. A. Dolenko; I. V. Boychuk; I. V. Churina; Tatiana A. Dolenko; Victor V. Fadeev; I. G. Persiantsev; Brian Carse (FLAIRS, 2001)

Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers. - S. A. Dolenko; Yu. V. Orlov; I. G. Persiantsev; Ju. S. Shugai; Anthony G. Pipe (FLAIRS, 2001)

Solar Wind Data Analysis Using Self-Organizing Hierarchical Neural Network Classifiers. - S. A. Dolenko; Yu. V. Orlov; I. G. Persiantsev; Ju. S. Shugai; A. V. Dmitriev; A. V. Suvorova; I. S. Veselovsky (Multiple Classifier Systems, 2001)

Neural Network Algorithm for Events Forecasting and Its Application to Space Physics Data. - S. A. Dolenko; Yu. V. Orlov; I. G. Persiantsev; Ju. S. Shugai (ICANN (2), 2005)

Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting. - Sergey Dolenko; Alexander Guzhva; Eugeny Obornev; Igor Persiantsev; Mikhail Shimelevich (ICANN (2), 2009)

Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series. - Sergey Dolenko; Alexander Guzhva; Igor Persiantsev; Ju. S. Shugai (ICANN (2), 2009)

Multifold Acceleration of Neural Network Computations Using GPU. - Alexander Guzhva; Sergey Dolenko; Igor Persiantsev (ICANN (1), 2009)

Comparison of Input Data Compression Methods in Neural Network Solution of Inverse Problem in Laser Raman Spectroscopy of Natural Waters. - Sergey Dolenko; Tatiana A. Dolenko; Sergey Burikov; Victor V. Fadeev; Alexey Sabirov; Igor Persiantsev (ICANN (2), 2012)

Study of Influence of Parameter Grouping on the Error of Neural Network Solution of the Inverse Problem of Electrical Prospecting. - Sergey Dolenko; Igor Isaev; Eugeny Obornev; Igor Persiantsev; Mikhail Shimelevich (EANN (1), 2013)

Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of Partial Concentrations of Salts in Multi-сomponent Water Solutions. - Sergey Dolenko; Sergey Burikov; Tatiana A. Dolenko; Alexander Efitorov; Kirill Gushchin; Igor Persiantsev (ICANN, 2014)

Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of the Ionic Composition of Multi-component Water Solutions. - Sergey Dolenko; Alexander Efitorov; Sergey Burikov; Tatiana A. Dolenko; Kirill Laptinskiy; Igor Persiantsev (EANN, 2015)

Horizon of Neural Network Prediction of Relativistic Electrons Flux in the Outer Radiation Belt of the Earth. - Irina Myagkova; Sergey Dolenko; Vladimir Shiroky; Natalia Sentemova; Igor Persiantsev (EANN Workshops, 2015)

Solution of an Inverse Problem in Raman Spectroscopy of Multi-component Solutions of Inorganic Salts by Artificial Neural Networks. - Alexander Efitorov; Tatiana A. Dolenko; Sergey Burikov; Kirill Laptinskiy; Sergey Dolenko (ICANN (2), 2016)

Increase of the Resistance to Noise in Data for Neural Network Solution of the Inverse Problem of Magnetotellurics with Group Determination of Parameters. - Igor Isaev; Eugeny Obornev; Ivan Obornev; Mikhail Shimelevich; Sergey Dolenko (ICANN (1), 2016)

Effect of Simultaneous Time Series Prediction with Various Horizons on Prediction Quality at the Example of Electron Flux in the Outer Radiation Belt of the Earth. - Irina Myagkova; Vladimir Shiroky; Sergey Dolenko (ICANN (2), 2016)

Neural Network Prediction of Daily Relativistic Electrons Fluence in the Outer Radiation Belt of the Earth: Selection of Delay Embedding Method. - Roman Batusov; Sergey Dolenko; Irina Myagkova (BICA, 2017)

Study of Efficiency of Dividing the Problem Space as a Means to Improve Solution of Multi-parameter Inverse Problem by Adaptive Methods. - Alexander Efitorov; Tatiana A. Dolenko; Sergey Burikov; Kirill Laptinskiy; Sergey Dolenko (BICA, 2017)

Training with Noise Addition in Neural Network Solution of Inverse Problems: Procedures for Selection of the Optimal Network. - Igor Isaev; Sergey Dolenko (BICA, 2017)

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. - Igor Isaev; Ekaterina Vervald; Olga Sarmanova; Sergey Dolenko (BICA, 2017)

Application of Wavelet Neural Networks for Monitoring of Extraction of Carbon Multi-Functional Medical Nano-Agents from the Body. - Tatiana A. Dolenko; Alexander Efitorov; Olga Sarmanova; Olga Kotova; Igor Isaev; Kirill Laptinskiy; Sergey Dolenko; Sergey Burikov (BICA, 2018)

Comparison of nonlinear methods of motion correction in fMRI data. - Alexander Efitorov; Vyacheslav A. Orlov; Vadim L. Ushakov; Vladimir Shiroky; Sergey Dolenko (BICA, 2018)

Patterns of Cognitive Activity in a Human vs Collaborative Robot Interactive Game. - Vladimir Shirokii; Roman Batusov; Arthur A. Chubarov; Sergey Dolenko; Alexei V. Samsonovich (BICA, 2018)

A Neural Network of Multiresolution Wavelet Analysis. - Alexander Efitorov; Vladimir Shiroky; Sergey Dolenko (ICANN (2), 2018)

Joint Application of Group Determination of Parameters and of Training with Noise Addition to Improve the Resilience of the Neural Network Solution of the Inverse Problem in Spectroscopy to Noise in Data. - Igor Isaev; Sergey Burikov; Tatiana A. Dolenko; Kirill Laptinskiy; Alexey Vervald; Sergey Dolenko (ICANN (1), 2018)

Quality of Prediction of Daily Relativistic Electrons Flux at Geostationary Orbit by Machine Learning Methods. - Irina Myagkova; Alexander Efitorov; Vladimir Shiroky; Sergey Dolenko (ICANN (4), 2019)

Multitasking learning in missing data recovery for the integration of geophysical methods in solving an inverse problem of exploration geophysics. - Igor Isaev; Ivan Obornev; Eugeny Obornev; Eugeny Rodionov; Mikhail Shimelevich; Sergey Dolenko (BICA*AI, 2022)

Inherent dimension of the affective space: Analysis using electromyography and machine learning. - Ismail M. Gadzhiev; Mikhail P. Knyshenko; Sergey Dolenko; Alexei V. Samsonovich (Cogn. Syst. Res., 2023)

Creating A dynamic cognovisor - Brain activity recognition using principal Component analysis and Machine learning models. - Ismail M. Gadzhiev; Alexander S. Makarov; Vadim L. Ushakov; Vyacheslav A. Orlov; Georgy A. Ivanitsky; Sergey Dolenko (Cogn. Syst. Res., 2025)