Faculty

Institution

Unit

Venue

Boris Kovalerchuk

Professor

Central Washington University

Affiliations

College of the Sciences

Computer Science

Boris Kovalerchuk is currently serving as a College Of The Sciences Professor at Central Washington University.

Honors

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Experiences

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Education

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Boris Kovalerchuk

Central Washington University

Professor

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data science computer science visualization information visualization knowledge discovery data and information visualization image representation computational intelligence data mining knowledge representation and reasoning pattern recognition artificial intelligence intelligent systems visual data mining cognitive science intelligent computing visual analytics statistics machine vision knowledge-based systems machine learning research approximate reasoning machine intelligence automated reasoning computational imaging interactive visualization visual modeling fuzzy logic computer graphics medical image computing visual reasoning knowledge discovery process real-time visualization computational visualization geographical information science logic in computer science optimization-based data mining explainable ai image registration interactive data exploration evolutionary data mining spatial verification image formation financial data financial intelligence optical image recognition optical information processing visualization (graphics) interpretability general line coordinates uncertainty formalism model-based reasoning information discovery uncertainty modeling computational semantics explanation-based learning symbolic machine learning visual knowledge discovery data exploration computer-aided diagnosis knowledge engineering intelligent diagnostics n-d data applied tasks probabilistic dynamic logic super-intelligence challenges important criteria maintenance decision making monotone boolean functions consistent knowledge discovery problem solving complete data empirical theories reliability issue increasing explanation non-image learning problems

Notable Scholarly Works

Notable Federal Grants

Collaborators

Quantifying AI Model Trust as a Model Sureness Measure by Bidirectional Active Processing and Visual Knowledge Discovery. Electronics (2026)

trustmachine learningvisual knowledge discoverymodel sureness measuretrustworthy aiartificial intelligenceintelligent computinghumanartificial intelligence collaborationinferenceai model trustcomputational intelligencecomputational trustcognitive sciencecomputer scienceautomated reasoningknowledge representation and reasoning

Assessing Weak Form Information Efficiency in Cryptocurrency Market Using Polynomial Autoregression Tools. Quality & Quantity (2025)

financial analysiscomputational financefinancial cryptographycryptocurrencyfinancial economicsfinance researchfinancial econometricsmarket microstructuremarket (economics)economicsfinancequantitative analysis (finance)high-frequency financial econometricsfinancial engineeringquantitative managementmonetary economicsinternational financial marketsfinancial studieseconomic dynamicsstatisticsasset pricingtheoretical economics

Boosting of Classification Models With Human-In-The-Loop Computational Visual Knowledge Discovery. ArXiv.org (2025)

information visualizationvisual reasoningknowledge discoverydata sciencevisual perceptionvision recognitionimage analysisvisualizationimage representationclassification modelsmachine learningcomputer visionmachine visionpattern recognitionvisual modelingvisual sciencevisual question answeringcomputational intelligenceobject recognitioncomputer science

Boosting of Classification Models With Human-In-The-Loop Computational Visual Knowledge Discovery. Lecture notes in computer science (2025)

machine intelligenceinformation visualizationvisual reasoningmachine learning researchknowledge discoverydata sciencevisual perceptiondata miningvision recognitionimage analysisimage representationcognitive sciencemachine learningmultimedia retrievalcomputer visionmachine visionpattern recognitionvisual modelingobject recognitionvisual question answeringcomputational intelligencecomputer science

Fully Explainable Classification Models Using Hyperblocks. arXiv (Cornell University) (2025)

computational scienceclassification methoddescriptional complexitymachine learning researchpattern recognitioncomputational intelligencedata sciencemachine learningcomputer science

Fully Explainable Classification Models Using Hyperblocks. (2025)

explanation-based learningclassification methoddescriptional complexitypattern recognitionknowledge discoverycomputational intelligencecomputer science

High-Dimensional Data Classification in Concentric Coordinates. (2025)

computer visionmachine visionpattern recognitionimage analysisdata classificationdata scienceimage representationnonlinear dimensionality reductioncomputer science

Interactive Discovery of Concept Drift With Lossless Visualization in Machine Learning. (2025)

information visualizationgranular computingmachine learning researchknowledge discoverydata scienceinteractive data explorationdata miningvisualizationimage representationmachine learningpredictive analyticsconcept driftcomputational scienceinteractive visualizationpattern recognitionvisual data miningdata and information visualizationcomputational statisticsvisual analyticsstatisticscomputational intelligencecomputer science

Interactive Discovery of Concept Drift With Lossless Visualization in Machine Learning. Lecture notes in computer science (2025)

predictive analyticsvisual analyticsmachine learninginteractive discoveryinformation visualizationconcept driftvisual data miningdata mininginteractive visualizationlossless visualizationmachine learning researchknowledge discoverydata sciencevisualizationdata and information visualizationcomputer scienceinteractive data exploration

Interpretable Visual Representation Learning With Animated Glyphs in Shifted Paired Coordinates. (2025)

geometric representationsinformation visualizationvisual systemvisual reasoningvisual perceptiongraphicsvision recognitionimage analysisreal-time visualizationvisualizationimage representationcomputer graphicscomputer visionmachine visionvisual modelingdata and information visualizationmultimedia information processingvisual sciencemultimedia modeling

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Boris Kovalerchuk

Professor

Central Washington University

Affiliations

College of the Sciences

Computer Science

Boris Kovalerchuk is currently serving as a College Of The Sciences Professor at Central Washington University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Boris Kovalerchuk

Central Washington University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Quantifying AI Model Trust as a Model Sureness Measure by Bidirectional Active Processing and Visual Knowledge Discovery. Electronics (2026)

Assessing Weak Form Information Efficiency in Cryptocurrency Market Using Polynomial Autoregression Tools. Quality & Quantity (2025)

Boosting of Classification Models With Human-In-The-Loop Computational Visual Knowledge Discovery. ArXiv.org (2025)

Boosting of Classification Models With Human-In-The-Loop Computational Visual Knowledge Discovery. Lecture notes in computer science (2025)

Fully Explainable Classification Models Using Hyperblocks. arXiv (Cornell University) (2025)

computational scienceclassification methoddescriptional complexitymachine learning researchpattern recognitioncomputational intelligencedata sciencemachine learningcomputer science

Fully Explainable Classification Models Using Hyperblocks. (2025)

explanation-based learningclassification methoddescriptional complexitypattern recognitionknowledge discoverycomputational intelligencecomputer science

High-Dimensional Data Classification in Concentric Coordinates. (2025)

computer visionmachine visionpattern recognitionimage analysisdata classificationdata scienceimage representationnonlinear dimensionality reductioncomputer science

Interactive Discovery of Concept Drift With Lossless Visualization in Machine Learning. (2025)

Interactive Discovery of Concept Drift With Lossless Visualization in Machine Learning. Lecture notes in computer science (2025)

Interpretable Visual Representation Learning With Animated Glyphs in Shifted Paired Coordinates. (2025)

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