| 2018 | ICANN | 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 |
| 2016 | ICANN | 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 |
| 2015 | EANN | 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 |
| 2014 | ICANN | 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 |
| 2012 | ICANN | 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 |
| 2001 | FlAIRS | 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 |