| An approach to incremental learning good classification tests X Naidenova, V Parkhomenko Contributions to the 11th International Conference on Formal Concept …, 2013 | 9 | 2013 |
| Two prediction models for some economic indicators of the russian arctic zone S Chernogorskiy, K Shvetsov, V Parkhomenko Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume …, 2018 | 5 | 2018 |
| Modification of Good Tests in Dynamic Contexts: Application to Modeling Intellectual Development of Cadets. XA Naidenova, V Parkhomenko, K Shvetsov, V Yusupov, R Kuzina SCAKD@ CLA, 51-62, 2016 | 5 | 2016 |
| Attributive and Object Subcontexts in Inferring Good Maximally Redundant Tests X Naidenova, V Parkhomenko Proceedings of the 11th International Conference International Conference on …, 2014 | 5 | 2014 |
| New approaches to incremental learning good classification tests X Naidenova, V Parkhomenko, K Shvetsov 2016 International Conference on Information Technology for Organizations …, 2016 | 4 | 2016 |
| Context-dependent incremental learning of good maximally redundant tests X Naidenova, V Parkhomenko, K Shvetsov 2015 SAI Intelligent Systems Conference (IntelliSys), 957-962, 2015 | 2 | 2015 |
| A neural-network like logical-combinatorial structure of data and constructing concept lattices X Naidenova, V Parkhomenko, S Curbatov CEUR workshop proceedings, 62-76, 1921 | 2 | 1921 |
| How can Moodle Quiz help teachers and researchers with complex questionnaires? V Parkhomenko, E Reut, A Zyamzina, E Komarova, A Schukin 2023 3rd International Conference on Technology Enhanced Learning in Higher …, 2023 | 1 | 2023 |
| Open moodle tools for a psychological assessment A Zyamzina, V Parkhomenko, A Schukin, I Bondarchuk 2021 1st International Conference on Technology Enhanced Learning in Higher …, 2021 | 1 | 2021 |
| Contribution to attributive and object subcontexts in inferring good maximally redundant tests X Naidenova, V Parkhomenko Discrete Applied Mathematics 273, 217-231, 2020 | 1 | 2020 |
| Notes on relation between symbolic classifiers X Naidenova, A Buzmakov, V Parkhomenko, A Schukin CEUR Workshop Proceedings, CEUR-WS 1921, 88-103, 2017 | 1 | 2017 |
| A Fast Heuristics for Inferring Approximately Minimal Diagnostic Tests X Naidenova, V Parkhomenko, A Rudenko Recent advances in mathematical methods in applied sciences: Proc. of the …, 2014 | 1 | 2014 |
| Methods to choosing subcontexts in good maximally redundant tests inferring X Naidenova, V Parkhomenko Recent advances in mathematical methods in applied sciences: Proc. of the …, 2014 | 1 | 2014 |
| A neural network-like combinatorial data structure for symbolic machine learning algorithms X Naidenova, V Parkhomenko Proceedings of Conference on Open Semantic Technologies for Intelligent …, 2013 | 1 | 2013 |
| A Cоncept of Self-Supervised Logical Rule Inference in Symbolic Classifications X Naidenova, V Parkhomenko 9th International Workshop” What can FCA do for Artificial Intelligence …, 2021 | | 2021 |
| Granular Computing and Incremental Classification. XA Naidenova, V Parkhomenko FCA4AI@ ECAI, 113-120, 2020 | | 2020 |
| English preface XA Naidenova, KV Shvetsov, AV Yakovlev, VA Parkhomenko | | 2020 |
| Context-Dependent Deductive and Inductive Reasoning Based on Good Diagnostic Tests. XA Naidenova, V Parkhomenko FCA&A@ ICFCA, 65-79, 2015 | | 2015 |
| Computing Approximately Minimal Diagnostic Tests X Naidenova, V Parkhomenko, A Rudenko International Journal of Mathematics and Computers in Simulation 9, 29-34, 2015 | | 2015 |
| Modeling Processes of Inferring Good Maximally Redundant Tests X Naidenova, V Parkhomenko International Journal of Mathematical Models and Methods in Applied Sciences …, 2015 | | 2015 |
Кonstantin ShvetsovPeter the Great Saint-Petersburg Polytechnic UniversityVerified email at spbstu.ru
