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Hybrid Methods of GMDH-Neural Networks Synthesis and Training for Solving Problems of Time Series Forecasting., , , , , , , и . ISDMCI, том 1020 из Advances in Intelligent Systems and Computing, стр. 513-531. Springer, (2019)Assessing Risk of Enterprise Bankruptcy by Indicators of Financial and Economic Activity Using Bayesian Networks., , , , и . CITRisk, том 3101 из CEUR Workshop Proceedings, стр. 39-50. CEUR-WS.org, (2021)Dynamic Bayesian Network Model of a Country's Economic Extension., , , , , , и . CSIT, том 1293 из Advances in Intelligent Systems and Computing, стр. 145-159. Springer, (2020)Streaming Algorithm to the Decomposition of a Polyatomic Molecules Mass Spectra on the Polychlorinated Biphenyls Molecule Example., , , , , , и . ISDMCI, том 77 из Lecture Notes on Data Engineering and Communications Technologies, стр. 39-53. Springer, (2021)Objective Clustering Inductive Technology of Gene Expression Sequences Features., , , и . BDAS, том 716 из Communications in Computer and Information Science, стр. 359-372. (2017)Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decomposition of the Signal with the Mutual Superposition of Mass Spectra., , , , , , , и . DSMP (Selected Papers), стр. 218-237. (2020)Application of a Combined Approach for Predicting a Peptide-Protein Binding Affinity Using Regulatory Regression Methods with Advance Reduction of Features., , , , , , и . IDAACS, стр. 431-435. IEEE, (2019)Credibility of System Self-Checking When Tests are Performed Randomly., , , и . CSIT (1), том 871 из Advances in Intelligent Systems and Computing, стр. 396-399. Springer, (2018)Dynamic Bayesian Networks Application for Economy Competitiveness Situational Modelling., , , , , , , , и . CSIT, том 1293 из Advances in Intelligent Systems and Computing, стр. 210-224. Springer, (2020)Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks., , , , , и . ACIT, стр. 408-411. IEEE, (2020)