| Issue Date | Title | Author(s) |
| 2015 | Aggregate ranking of the world's leading universities | Moskovkin, V. M.; Golikov, N. A.; Peresypkin, A. P.; Serkina, O. V. |
| 2015 | Algorithm for individual learning content formation in automated machine learning system | Asadullaev, R. G.; Lomakin, V. V.; Zaharov, V. M.; Dakhova, M. N.; Bugaeva, E. S. |
| 2024 | Chemoproteomic analysis of the promising candidate molecule of the indole derivative with lab code SV-1010 and other non-steroidal antiinflammatory drugs | Galenko-Yaroshevsky, P. A.; Torshin, I. Yu.; Gromov, A. N.; Reyer, I. A.; Gromova, O. A. |
| 2020 | Intelligent assistance in online interviewing emotional routing method | Sorokina, S. A; Soma, G. M. |
| 2024 | Machine learning assisted design of new ductile high-entropy alloys: Application to Al-Cr-Nb-Ti-V-Zr system | Klimenko, D.; Stepanov, N.; Ryltsev, R.; Yurchenko, N.; Zherebtsov, S. |
| 2021 | Machine learning-based strength prediction for refractory high-entropy alloys of the Al-Cr-Nb-Ti-V-Zr system | Klimenko, D.; Stepanov, N.; Jia Li; Qihong Fang; Zherebtsov, S. V. |
| 2021 | Prediction of strength characteristics of high-entropy alloys Al-Cr-Nb-Ti-V-Zr systems | Klimenko, D. N.; Yurchenko, N. Yu.; Stepanov, N. D.; Zherebtsov, S. V. |
| 2020 | Review of machine learning technologies and neural networks in drug synergy combination pharmacological research | Ter-Levonian, A. S.; Koshechkin, K. A. |
| 2014 | The modular structure of the adaptive machine learning system | Lomakin, V. V.; Asadullaev, R. G.; Mamatov, A. V.; Pogorelyy, M. U.; Mishunin, V. V. |
