| Supermoduli spaces SN Dolgikh, AA Rosly, AS Schwarz Communications in Mathematical Physics 135 (1), 91-100, 1990 | 50 | 1990 |
| Spontaneous concept learning with deep autoencoder S Dolgikh International Journal of Computational Intelligence Systems 12 (1), 1-12, 2018 | 32 | 2018 |
| Further evidence of a possible correlation between the severity of Covid-19 and BCG immunization S Dolgikh https://www.medrxiv.org/content/10.1101/2020.04.07.20056994v1, 2020 | 28 | 2020 |
| Categorized representations and General Learning S Dolgikh 10th International Conference on Theory and Application of Soft Computing …, 2019 | 24 | 2019 |
| Topology of conceptual representations in unsupervised generative models S Dolgikh 26th International Conference on Information Society and University Studies …, 2021 | 16 | 2021 |
| Automated object recognition system based on convolutional autoencoder P Prystavka, O Cholyshkina, S Dolgikh, D Karpenko 2020 10th International Conference on Advanced Computer Information …, 2020 | 16 | 2020 |
| Artificial Intelligence in Aviation Industries: Methodologies, Education, Applications, and Opportunities T Shmelova, A Sterenharz, S Dolgikh Handbook of Research on Artificial Intelligence Applications in the Aviation …, 2020 | 16 | 2020 |
| Epidemiological factor analysis: identifying principal factors with Machine Learning S Dolgikh https://www.medrxiv.org/content/10.1101/2020.06.01.20119560v1, 2020 | 14* | 2020 |
| A framework & system for classification of encrypted network traffic using Machine Learning N Seddigh, B Nandy, D Bennett, Y Ren, S Dolgikh, C Zeidler, J Knoetze, ... 15th International Conference on Network and Service Management (CNSM-2019), 2019 | 13 | 2019 |
| Smart-Covid: intelligent solutions for higher risk environments S Dolgikh https://hal.archives-ouvertes.fr/hal-02915459, 2020 | 10 | 2020 |
| Geometry-modeling based flight optimization for autonomous groups of UAVs T Shmelova, YN Kovalyov, S Dolgikh, O Burlaka 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial …, 2019 | 8 | 2019 |
| Low-dimensional representations in generative self-learning models S Dolgikh 20th International Conference Information Technologies – Applications and …, 2020 | 7 | 2020 |
| Supergrassmannians, super τ-functions and strings SN Dolgikh, AS Schwarz Physics and Mathematics of Strings: Memorial Volume for Vadim Knizhnik, 231-244, 1990 | 7 | 1990 |
| Generative conceptual representations and semantic communications S Dolgikh International Journal of Computer Information Systems and Industrial …, 2022 | 6 | 2022 |
| Categorization in unsupervised generative self-learning systems S Dolgikh International Journal of Modern Education & Computer Science 13 (3), 2021 | 6 | 2021 |
| Synchronized conceptual representations in unsupervised generative learning S Dolgikh International Conference on Soft Computing and Pattern Recognition, 23-32, 2021 | 5 | 2021 |
| Sparsity constraint in unsupervised concept learning S Dolgikh 21st Conference Information technologies -- Applications and Theory (ITAT …, 2021 | 5 | 2021 |
| Collaborative Human-AI decision-making systems S Dolgikh, O Mulesa 2nd International Scientific Symposium «Intelligent Solutions» IntSol-2021 …, 2021 | 5 | 2021 |
| Covid-19 vs BCG: statistical significance analysis S Dolgikh medRxiv, 2020.06. 08.20125542, 2020 | 5 | 2020 |
| Why good generative models categorize S Dolgikh ResearchGate, 2020 | 4 | 2020 |
Пилип Приставка, Pylyp PrystavkaНаціональний авіаційний університетVerified email at nau.edu.ua
