Boris Kovalerchuk Computer Science Professor Central Washington University

BORIS KOVALERCHUK

Professor
Director of Visual Knowledge Discovery and Imaging Lab.
Department of Computer Science
Central Washington University,
Ellensburg, WA 98926-7520, USA
Phone: (509) 963-1438; Fax: (509) 963-1449;
E-mail: borisk <at> cwu <dot> edu

Information for Students

Courses (see Canvas)
Research for Students

Research and Publications

CWU Visual Knowledge Discovery and Imaging Lab
Publications
Google Scholar
Books
Tutorials, Panels and Round Tables
Visualization and geospatial data analysis
Data Mining in Finance
Scientific Discovery
McCracken Computational Sciences Seminar Series
Curriculum Vitae

Books

	Kovalerchuk B, Nazemi K, Andonie R, Datia N, Banissi E, (Eds). Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery Springer, April 2024
	Kovalerchuk B, Nazemi K, Andonie R, Datia N, Banissi E, (Eds). Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery Springer, 2022
	Kovalerchuk B. Visual Knowledge Discovery and Machine Learning Springer Nature, 2018 Book web page
	Uncertainty Modeling Dedicated to Professor Boris Kovalerchuk on his Anniversary Editor: Kreinovich, V. Springer, 2017
	Kovalerchuk B., Schwing J. (Eds) Visual and Spatial Analysis: Advances on Data Mining, Reasoning and Problem Solving Springer, 2005
	Kovalerchuk, B., Vityaev, E. Data Mining in Finance: Advances in Relational and Hybrid Methods Kluwer Acad. Publ/Springer, 2000 Used in CWU Data Mining Classes
	Computational Intelligence ~CI 2006~ Proc. the IASTED International Conference on Computational Intelligence ~CI 2006, San Francisco, USA Chair/Editor B. Kovalerchuk
	Computational Intelligence ~CI 2009~ Proc. the IASTED International Conference on Computational Intelligence ~CI 2009, Honolulu, USA Chair/Editor B. Kovalerchuk

Tutorials, Panels and Round Tables

	B. Kovalerchuk, R. Andonie (CWU) Tutorial Seeing Without Losing - Visual Knowledge Discovery through Lossless Visualization Panel: Visualisation, Visual Analytics, and Visual Knowledge Discovery in the Age of LLMs SOAS University of London 28-31 July, 2026
University of Washington	B. Kovalerchuk (CWU) Artificial Intelligence and Visualization: Moving to Visual Knowledge Discovery Data Science Seminar, May 6, 2026 eScience Institute, University of Washington, Seattle
	B. Kovalerchuk (CWU) Keynote lecture: AI and Visualization frontier: moving to Visual Knowledge Discovery 29th International Conference Information Visualisation 6th International Conference AI&Visualisation 5-8 August 2025 @ Darmstadt University of Applied Science, Germany.
University of Washington	B. Kovalerchuk (CWU). How to Identify and Avoid Quasi-Explanation in Al and Machine Learning? Data Science Seminar, May 21, 2025 eScience Institute, University of Washington, Seattle
	B. Kovalerchuk (CWU) Tutorial: What is Explainable AI for High-stake tasks with Human interaction? 28th International Conference Information Visualisation 23-26 July 2024 @ Coimbra University, Portugal.
	B. Kovalerchuk (CWU) Tutorial: Explainable AI for High-stake tasks with Human-in-the-loop. 26th International Conference on Human-Computer Interaction Washington DC., 29 June - 4 July 2024
	B. Kovalerchuk (CWU) Tutorial: Interpretable AI/ML Models for High-stake tasks with Human-in-the-loop 20th Pacific Rim International Conference on Artificial Intelligence (PRICAI) Jakarta, Indonesia. November 17-19, 2023. Flier
	Kovalerchuk B. (CWU) Keynote lecture: Future of visualization with AI/Machine Learning: Where must we go? 27 International Conference Information Visualisation Tampere University, Finland, July 24-28, 2023
	B. Kovalerchuk (CWU), M.A. Ahmad (UW, KenSci), A. Teredesai (UW, KenSci): Tutorial Towards Deep Explanation in Machine Learning Supported by Visual Methods. Video part1, Video Part2. 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence. Online Jan 7, 2021.
	Doctoral Research workshop Visual Methods for Deep Explanation in Machine Learning B.Kovalerchuk (CWU), M.A. Ahmad (UW, KenSci), A.Teredesai (UW,KenSci) 24 International Conference Information Visualisation -ONLINE- 7-11 September 2020 @ Victoria University, Australia & Technische Universitat, Wien, Austria
	B. Kovalerchuk (CWU), M.A. Ahmad (UW, KenSci), A. Teredesai (UW, KenSci): Tutorial Deep Explanations in Machine Learning via Interpretable Visual Methods. Slides 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining Singapore 11 - 14 May 2020.
	B. Kovalerchuk: Tutorial Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means The 13th ACM International Conference on Web Search and Data Mining Houston, Feb 3-7, 2020.
	B. Kovalerchuk: Tutorial Interpretable Knowledge Discovery Reinforced by Visual Methods Open Data Science Conference West 2019 San Francisco, CA, Oct. 28, 2019. Slides, Abstract pdf, ODSC Blog
	B. Kovalerchuk: Tutorial Interpretable Knowledge Discovery Reinforced by Visual Methods ACM KDD 2019, Anchorage, AK, Aug. 4, 2019. Slides
	B. Kovalerchuk: Tutorial Interactive Visual Data Mining and Knowledge Discovery 20th International Conference on Human-Computer Interaction Las Vegas, Sunday, 15 July 2018.
	B. Kovalerchuk: Tutorial Cutting Heuristics in Computational Intelligence with Visual Data Mining 30th International Joint Conference on Neural Networks (IJCNN) Anchorage, Alaska, May 14, 2017.
	14th International Conference on Information Processing and Management of Uncertainty ~IPMU 2012~, Catania, Italy. Round Table Uncertainty Management Moderator B. Kovalerchuk
	B. Kovalerchuk: Tutorial Fuzzy Logic, Probability, and Measurement: Similarities and Differences in Computing with Words 2012 IEEE World Congress on Computational Intelligence Brisbane, Australia. Panel: Computing with Words: Role of Fuzzy, Probability, and Measurement Concepts and Operations Chairs: B. Kovalerchuk, V.Kreinovich.
	B. Kovalerchuk: Tutorial Visual Data Mining and Reasoning ~CI 2005~ Calgary, Canada Slides.
	B. Kovalerchuk: Tutorial Advanced data mining, link discovery and visual correlation for data and image analysis Washington, DC, 2005
	B. Kovalerchuk: Tutorial Image Matching and Integration ~SIP 2004~ Honolulu, USA