| Comparison of temporal and non-temporal features effect on machine learning models quality and interpretability for chronic heart failure patients K Balabaeva, S Kovalchuk Procedia Computer Science 156, 87-96, 2019 | 35 | 2019 |
| Optimal-er auctions through attention D Ivanov, I Safiulin, I Filippov, K Balabaeva Advances in Neural Information Processing Systems 35, 34734-34747, 2022 | 33 | 2022 |
| Post-hoc interpretation of clinical pathways clustering using Bayesian inference K Balabaeva, S Kovalchuk Procedia Computer Science 178, 264-273, 2020 | 15 | 2020 |
| Automated spelling correction for clinical text mining in Russian K Balabaeva, A Funkner, S Kovalchuk Digital Personalized Health and Medicine, 43-47, 2020 | 15 | 2020 |
| Negation Detection for Clinical Text Mining in Russian. AA Funkner, K Balabaeva, SV Kovalchuk MIE, 342-346, 2020 | 12 | 2020 |
| An overview and comparison of XAI methods for object detection in computer tomography K Sahatova, K Balabaeva Procedia Computer Science 212, 209-219, 2022 | 8 | 2022 |
| Dynamic features impact on the quality of chronic heart failure predictive modelling K Balabaeva, S Kovalchuk, O Metsker pHealth 2019, 179-184, 2019 | 6 | 2019 |
| Neural Additive Models for Explainable Heart Attack Prediction K Balabaeva, S Kovalchuk International Conference on Computational Science, 113-121, 2022 | 4 | 2022 |
| Comparison of efficiency, stability and interpretability of feature selection methods for multiclassification task on medical tabular data K Balabaeva, S Kovalchuk International Conference on Computational Science, 623-633, 2021 | 4 | 2021 |
| Experiencer detection and automated extraction of a family disease tree from medical texts in russian language K Balabaeva, S Kovalchuk Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 4 | 2020 |
| Statistical inference for clustering results interpretation in clinical practice A Kanonirov, K Balabaeva, S Kovalchuk pHealth 2021, 100-105, 2021 | 3 | 2021 |
| Optimal Wells Placement to Maximize the Field Coverage Using Derivative-Free Optimization K Balabaeva, L Akmadieva, S Kovalchuk Procedia Computer Science 178, 65-74, 2020 | 3 | 2020 |
| Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations SV Kovalchuk, AA Funkner, KY Balabaeva, IV Derevitskii, VV Fonin, ... Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 3 | 2020 |
| Exploring the Relationship Between Error and Interpretation of the Segmentation Model's Prediction N Detkov, K Balabaeva, S Kovalchuk Procedia Computer Science 212, 122-131, 2022 | 1 | 2022 |
| Clustering Results Interpretation of Continuous Variables Using Bayesian Inference K Balabaeva, S Kovalchuk Public Health and Informatics, 477-481, 2021 | 1 | 2021 |
| Detection of Pharmaceutical Personal Protective Equipment in Video Stream M Leontiev, D Zhilikov, L Klimov, V Chertan, D Bobrov, D Lobanov, ... Studies in health technology and informatics 316, 968-972, 2024 | | 2024 |
| Computational approach for data-driven mining of upstream value-added structures N Bukhanov, P Trudkov, E Vinogradova, I Derevitskii, K Balabaeva, ... EAGE/AAPG Digital Subsurface for Asia Pacific Conference 2020 (1), 1-5, 2020 | | 2020 |
| EAGE/AAPG DIGITAL SUBSURFACE FOR ASIA PACIFIC CONFERENCE 2020 N Bukhanov, P Trudkov, E Vinogradova, I Derevitskii, K Balabaeva, ... | | 2020 |
| Experiencer detection and automated extraction of a family disease tree from medical texts in Russian K Balabaeva, S Kovalchuk | | |
Sergey KovalchukITMO UniversityVerified email at itmo.ru
