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Table of Contents
Preface and Book of Abstracts
Chapter. 1. Optimal Layered Defense for Site Protection
Chapter. 2. SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities
Chapter. 3. Dimensionality reduction using pseudo-Boolean polynomials for cluster analysis
Chapter. 4. Pseudo-Boolean polynomials approach to edge detection and image segmentation
Chapter. 5. Purifying Data by Machine Learning with Certainty Levels
Chapter. 6. On impact of data models on predictability assessment of time series
Chapter. 7. A three-step method for audience extension in Internet advertising using an industrial taxonomy
Chapter. 8. From Prebase in Automata Theory to Data Analysis: Boris Mirkin's Way
Chapter. 9. Manipulability of aggregation procedures for the case of large numbers of voters
Chapter. 10. Preferences over mixed manna
Chapter. 11. About Some Clustering Algorithms in Evidence Theory
Chapter. 12. Inferring Multiple Consensus Trees and Supertrees Using Clustering: A Review
Chapter. 13. Anomaly Detection With Neural Network Using a Generator
Chapter. 14. Controllability of triangular systems with phase space change
Chapter. 15. A Parallel Linear Active Set Method
Chapter. 16. Mean Values: A Multicriterial Analysis
Chapter. 17. Data and Text Interpretation in Social Media: Urban Planning Conflicts
Chapter. 18. Visual Explainable Machine Learning for High-Stake Decision-Making with Worst Case Estimates
Chapter. 19. Algorithm of trading on the stock market, providing satisfactory results
Chapter. 20. Classification using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference
Chapter. 21. Generating Genomic Maps of Z-DNA with the Transformer Algorithm
Chapter. 22. Manipulation by Coalitions in Voting with Incomplete Information
Chapter. 23. Rethinking Probabilistic Topic Modeling from the Point of View of Classical Non-Bayesian Regularization.
Chapter. 1. Optimal Layered Defense for Site Protection
Chapter. 2. SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities
Chapter. 3. Dimensionality reduction using pseudo-Boolean polynomials for cluster analysis
Chapter. 4. Pseudo-Boolean polynomials approach to edge detection and image segmentation
Chapter. 5. Purifying Data by Machine Learning with Certainty Levels
Chapter. 6. On impact of data models on predictability assessment of time series
Chapter. 7. A three-step method for audience extension in Internet advertising using an industrial taxonomy
Chapter. 8. From Prebase in Automata Theory to Data Analysis: Boris Mirkin's Way
Chapter. 9. Manipulability of aggregation procedures for the case of large numbers of voters
Chapter. 10. Preferences over mixed manna
Chapter. 11. About Some Clustering Algorithms in Evidence Theory
Chapter. 12. Inferring Multiple Consensus Trees and Supertrees Using Clustering: A Review
Chapter. 13. Anomaly Detection With Neural Network Using a Generator
Chapter. 14. Controllability of triangular systems with phase space change
Chapter. 15. A Parallel Linear Active Set Method
Chapter. 16. Mean Values: A Multicriterial Analysis
Chapter. 17. Data and Text Interpretation in Social Media: Urban Planning Conflicts
Chapter. 18. Visual Explainable Machine Learning for High-Stake Decision-Making with Worst Case Estimates
Chapter. 19. Algorithm of trading on the stock market, providing satisfactory results
Chapter. 20. Classification using Marginalized Maximum Likelihood Estimation and Black-Box Variational Inference
Chapter. 21. Generating Genomic Maps of Z-DNA with the Transformer Algorithm
Chapter. 22. Manipulation by Coalitions in Voting with Incomplete Information
Chapter. 23. Rethinking Probabilistic Topic Modeling from the Point of View of Classical Non-Bayesian Regularization.
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