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Ksenia Balabaeva
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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
92019
Automated Spelling Correction for Clinical Text Mining in Russian.
K Balabaeva, AA Funkner, SV Kovalchuk
MIE, 43-47, 2020
72020
Post-hoc interpretation of clinical pathways clustering using Bayesian inference
K Balabaeva, S Kovalchuk
Procedia Computer Science 178, 264-273, 2020
72020
Negation Detection for Clinical Text Mining in Russian.
AA Funkner, K Balabaeva, SV Kovalchuk
MIE, 342-346, 2020
42020
Experiencer detection and automated extraction of a family disease tree from medical texts in russian language
K Balabaeva, S Kovalchuk
International Conference on Computational Science, 603-612, 2020
32020
Towards Modeling of Information Processing within Business-Processes of Service-Providing Organizations
SV Kovalchuk, AA Funkner, KY Balabaeva, IV Derevitskii, VV Fonin, ...
International Conference on Computational Science, 667-675, 2020
32020
Dynamic Features Impact on the Quality of Chronic Heart Failure Predictive Modelling.
K Balabaeva, SV Kovalchuk, OG Metsker
pHealth, 179-184, 2019
32019
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
12021
Clustering Results Interpretation of Continuous Variables Using Bayesian Inference
K Balabaeva, S Kovalchuk
Public Health and Informatics, 477-481, 2021
12021
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
12020
Optimal-er Auctions through Attention
D Ivanov, I Safiulin, K Balabaeva, I Filippov
arXiv preprint arXiv:2202.13110, 2022
2022
Neural Additive Models for Explainable Heart Attack Prediction
K Balabaeva, S Kovalchuk
International Conference on Computational Science, 113-121, 2022
2022
Statistical Inference for Clustering Results Interpretation in Clinical Practice.
A Kanonirov, K Balabaeva, SV Kovalchuk
pHealth, 100-105, 2021
2021
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
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Articles 1–16