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)

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)

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)

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)

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)