| Advantages of hybrid deep learning frameworks in applications with limited data V Gavrishchaka, Z Yang, R Miao, O Senyukova International Journal of Machine Learning and Computing 8 (6), 549-558, 2018 | 49 | 2018 |
| Leveraging domain-expert knowledge, boosting and deep learning for identification of rare and complex states R Miao, Z Yang, V Gavrishchaka Journal of Physics: Conference Series 1207 (1), 012016, 2019 | 6 | 2019 |
| Discovery of Hybrid Ensemble Models Resilient to Input Resolution Deterioration Z Yang, R Miao, V Gavrishchaka, O Senyukova 2021 4th International Conference on Information and Computer Technologies …, 2021 | 2 | 2021 |
| Topological Representation of Rare States Using Combination of Persistent Homology and Complexity Measures R Miao, Z Yang, V Gavrishchaka 2020 3rd International Conference on Information and Computer Technologies …, 2020 | 2 | 2020 |
| Discovery of early-alert indicators using hybrid ensemble learning and generative physics-based models Z Yang, R Miao, M Orlova, I Nechepurenko, V Gavrishchaka 2022 5th International Conference on Information and Computer Technologies …, 2022 | 1 | 2022 |
| Leveraging Neural-Networks, Boosting and Domain-Knowledge to Discover Physiological Indicators with Minimal Sensitivity to Data Resolution D Vartanov, O Senyukova, R Miao, M Orlova, Z Yang, V Gavrishchaka 2022 5th International Conference on Pattern Recognition and Artificial …, 2022 | | 2022 |
