Boris Kovalerchuk

Central Washington University

H-index: 23

North America-United States

About Boris Kovalerchuk

Boris Kovalerchuk, With an exceptional h-index of 23 and a recent h-index of 13 (since 2020), a distinguished researcher at Central Washington University, specializes in the field of Machine Learning, Visual Knowledge Discovery, Explainable AI, Visual Analytics, Knowledge Discovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

Interpretable AI/ML for High-stakes Tasks with Human-in-the-loop: Critical Review and Future Trends

Visual knowledge discovery with general line coordinates

Parallel Coordinates for Discovery of Interpretable Machine Learning Models

Full High-Dimensional Intelligible Learning in 2-D Lossless Visualization Space

Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization

Interpretable Machine Learning for Financial Applications

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

General Line Coordinates in 3D

Boris Kovalerchuk Information

University	Central Washington University
Position	Professor of Computer Sceince
Citations(all)	2603
Citations(since 2020)	672
Cited By	2168
hIndex(all)	23
hIndex(since 2020)	13
i10Index(all)	53
i10Index(since 2020)	19
Email	Access Email
University Profile Page	Central Washington University
Google Scholar	View Google Scholar Profile

Boris Kovalerchuk Skills & Research Interests

Machine Learning

Visual Knowledge Discovery

Explainable AI

Visual Analytics

Knowledge Discovery

Top articles of Boris Kovalerchuk

Title	Journal	Author(s)	Publication Date
Interpretable AI/ML for High-stakes Tasks with Human-in-the-loop: Critical Review and Future Trends		Boris Kovalerchuk	2024/2/29
Visual knowledge discovery with general line coordinates	arXiv preprint arXiv:2305.18429	Lincoln Huber Boris Kovalerchuk Charles Recaido	2023/5/28
Parallel Coordinates for Discovery of Interpretable Machine Learning Models	arXiv preprint arXiv:2305.18434	Dustin Hayes Boris Kovalerchuk	2023/5/28
Full High-Dimensional Intelligible Learning in 2-D Lossless Visualization Space	arXiv preprint arXiv:2305.19132	Boris Kovalerchuk Hoang Phan	2023/5/29
Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization	arXiv preprint arXiv:2305.18437	Boris Kovalerchuk Elijah McCoy	2023/5/29
Interpretable Machine Learning for Financial Applications	Machine Learning for Data Science Handbook	Boris Kovalerchuk Evgenii Vityaev Alexander Demin Antoni Wilinski	2023
No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0		Lincoln Huber Boris Kovalerchuk	2023/7/25
General Line Coordinates in 3D		Joshua Martinez Boris Kovalerchuk	2023/7/25
Visual Explainable Machine Learning for High-Stakes Decision-Making with Worst Case Estimates		Charles Recaido Boris Kovalerchuk	2023/9/24
Principal Components in General Line Coordinates for Visualization and Machine Learning		Boris Kovalerchuk Brent D Fegley	2023/7/25
Interpretable Machine Learning forFinancial Applications		Boris Kovalerchuk Evgenii Vityaev Alexander Demin Antoni Wilinski	2023/8/18
Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling		Boris Kovalerchuk Andrew Dunn Alex Worland Sridevi Wagle	2023/5/28
Explainable machine learning and visual knowledge discovery		Boris Kovalerchuk	2023/8/18
Proceedings of the 27th International Conference on Information Visualisation (IV 2023), Tampere, Finland, 25-28 July 2023		Henry Selvaraj Grzegorz Chmaj Dawid Zydek	2021/1/6
Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data		Nicholas Cutlip Boris Kovalerchuk	2023/7/25
Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions		Boris Kovalerchuk Răzvan Andonie Nuno Datia Kawa Nazemi Ebad Banissi	2022
Lossless High-Dimensional Visualization for Scientific Discovery	Position Papers for the ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, and Communication	Boris Kovalerchuk	2022/1
Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery		Boris Kovalerchuk Elijah McCoy	2022/7/19
Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning		Sridevi Narayana Wagle Boris Kovalerchuk	2022
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models		Alex Worland Sridevi Wagle Boris Kovalerchuk	2022/7/19