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Visual Knowledge Discovery and Machine Learning

Kovalerchuk, Boris

1st ed. 2018 edition., 2018

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Adjustable general line coordinates for visual knowledge discovery in n-D data

Information visualization, 2019-01, Vol.18 (1), p.3-32

2019

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Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

1, 2022

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Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data

Informatics (Basel), 2017-09, Vol.4 (3), p.23

2017

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Visual cognitive algorithms for high-dimensional data and super-intelligence challenges

Cognitive systems research, 2017-10, Vol.45, p.95-108

Kovalerchuk, Boris

2017

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Uncertainty Modeling: Dedicated to Professor Boris Kovalerchuk on his Anniversary

Kreinovich, Vladik

1st ed. 2017., 2017

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No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0

2023 27th International Conference Information Visualisation (IV), 2023, p.316-322

2023

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General Line Coordinates in 3D

2023 27th International Conference Information Visualisation (IV), 2023, p.308-315

2023

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Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data

2023 27th International Conference Information Visualisation (IV), 2023, p.292-299

2023

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Discovering Interpretable Machine Learning Models in Parallel Coordinates

2021 25th International Conference Information Visualisation (IV), 2021, p.181-188

2021

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Interpretable Machine Learning for Self-Service High-Risk Decision-Making

2022 26th International Conference Information Visualisation (IV), 2022, p.322-329

2022

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Enhancement of Cross Validation Using Hybrid Visual and Analytical Means with Shannon Function

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications, p.517-543

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Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery

2022 26th International Conference Information Visualisation (IV), 2022, p.314-321

2022

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Survey of Explainable Machine Learning with Visual and Granular Methods Beyond Quasi-Explanations

Interpretable Artificial Intelligence: A Perspective of Granular Computing, 2021, Vol.937, p.217-267

2021

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Full interpretable machine learning in 2D with inline coordinates

2021 25th International Conference Information Visualisation (IV), 2021, p.189-196

2021

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Visual knowledge discovery and machine learning for investment strategy

Cognitive systems research, 2017-08, Vol.44, p.100-114

2017

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Principal Components in General Line Coordinates for Visualization and Machine Learning

2023 27th International Conference Information Visualisation (IV), 2023, p.300-307

2023

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Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, p.141-172

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Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, p.101-139

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Reversible Data Visualization to Support Machine Learning

Human Interface and the Management of Information. Interaction, Visualization, and Analytics, p.45-59

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Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks

Granular computing (Internet), 2017-09, Vol.2 (3), p.121-130

2017

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Visual Explainable Machine Learning for High-Stakes Decision-Making with Worst Case Estimates

Data Analysis and Optimization, 2023, Vol.202, p.291-329

2023

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Interactive Visual Self-service Data Classification Approach to Democratize Machine Learning

2020 24th International Conference Information Visualisation (IV), 2020, p.280-285

2020

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Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models

2022 26th International Conference Information Visualisation (IV), 2022, p.351-358

2022

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Relationships Between Probability and Possibility Theories

Uncertainty Modeling, 2017, Vol.683, p.97-122

2017

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Visual Knowledge Discovery and Machine Learning

Adjustable general line coordinates for visual knowledge discovery in n-D data

Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery

Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data

Visual cognitive algorithms for high-dimensional data and super-intelligence challenges

Uncertainty Modeling: Dedicated to Professor Boris Kovalerchuk on his Anniversary

No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0

General Line Coordinates in 3D

Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data

Discovering Interpretable Machine Learning Models in Parallel Coordinates

Interpretable Machine Learning for Self-Service High-Risk Decision-Making

Enhancement of Cross Validation Using Hybrid Visual and Analytical Means with Shannon Function

Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery

Survey of Explainable Machine Learning with Visual and Granular Methods Beyond Quasi-Explanations

Full interpretable machine learning in 2D with inline coordinates

Visual knowledge discovery and machine learning for investment strategy

Principal Components in General Line Coordinates for Visualization and Machine Learning

Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates

Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning

Reversible Data Visualization to Support Machine Learning

Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks

Visual Explainable Machine Learning for High-Stakes Decision-Making with Worst Case Estimates

Interactive Visual Self-service Data Classification Approach to Democratize Machine Learning

Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models

Relationships Between Probability and Possibility Theories

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