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

Publications

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

    Book chapters

    2024

  1. Kovalerchuk B., Dunn A., Worland A., Wagle S., Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling in: Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery, Eds: Kovalerchuk B., Nazemi K., Andonie R., Datia N., Banissi E., Springer, 2024, pp. 3-40. arXiv preprint arXiv:2205.04035

  2. Kovalerchuk B., Phan H., Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space in: Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery, Eds: Kovalerchuk B., Nazemi K., Andonie R., Datia N., Banissi E., Springer, 2024, pp. 41-72. arXiv preprint arXiv:2305.19132

  3. Kovalerchuk B., McCoy E. Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization in: Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery, Eds: Kovalerchuk B., Nazemi K., Andonie R., Datia N., Banissi E., Springer, 2024, pp. 73-124. arXiv preprint arXiv:2305.18437

  4. Hayes D., Kovalerchuk B. Parallel Coordinates for Discovery of Interpretable Machine Learning Models in: Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery, Eds: Kovalerchuk B., Nazemi K., Andonie R., Datia N., Banissi E., Springer, 2024, pp. 125-158. arXiv preprint arXiv:2305.18434

  5. Huber L., Kovalerchuk B., Recaido C. Visual Knowledge Discovery with General Line Coordinates in: Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery, Eds: Kovalerchuk B., Nazemi K., Andonie R., Datia N., Banissi E., Springer, 2024, pp. 159-202. arXiv preprint arXiv:2305.18429

    6. 2023

  6. Recaido C., Kovalerchuk B. Visual Explainable Machine Learning for High-Stakes Decision-Making with Worst Case Estimates . In: Data Analysis and Optimization, in Honor of Boris Mirkin’s 80th Birthday, Eds. B. Goldengorin, S. Kuznetsov, pp. 293-331, Springer, 2023.

  7. Kovalerchuk, B. Explainable Machine Learning and Visual Knowledge Discovery . In: Rokach, L., Maimon, O., Shmueli, E. (eds) Machine Learning for Data Science Handbook. Springer, pp. 913-943, Cham, 2023, Explainable Machine Learning and Visual Knowledge Discovery

  8. Kovalerchuk, B., Vityaev, E., Demin, A., Wilinski, A. Interpretable Machine Learning for Financial Applications . In: Rokach, L., Maimon, O., Shmueli, E. (eds) Machine Learning for Data Science Handbook. Springer, Cham, pp. 721-749 2023, Interpretable Machine Learning for Financial Applications

    9. 2022

  9. Kovalerchuk B, Andonie R, Datia N, Nazemi K, Banissi E. Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions . In: Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery 2022 (pp. 1-27). Springer, Cham.

  10. Kovalerchuk B, Kalla DC, Agarwal B. Deep Learning Image Recognition for Non-images . In: Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery 2022 (pp. 63-100). Springer, Cham.

  11. Wagle SN, Kovalerchuk B. Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning . In: Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery 2022 (pp. 101-139). Springer, Cham.

  12. McDonald R, Kovalerchuk B. Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates . In: Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery 2022 (pp. 141-172). Springer, Cham.

    13. 2021

  13. Kovalerchuk, B., Ahmad, M.A., Teredesai A., Survey of Explainable Machine Learning with Visual and Granular Methods beyond Quasi-explanations , In: Interpretable Artificial Intelligence: A Perspective of Granular Computing, W. Pedrycz, S.M.Chen ((Eds.), Springer, 2021, 45 pp.

    14. 2020

  14. Kovalerchuk B. Enhancement of Cross Validation Using Hybrid Visual and Analytical Means with Shannon Function . In: Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications 2020 (pp. 517-543). Springer

    15. 2017

  15. Kovalerchuk, B., Relationships Between Probability and Possibility Theories In: Uncertainty Modeling, Studies in Computational Intelligence 683, Kreinovich, V.(Ed.), Springer, 2017, 97-122, DOI 10.1007/978-3-319-51052-1_7 Relationships Between Probability and Possibility Theories

  16. Resconi G., Kovalerchuk, B., Copula as a Bridge Between Probability Theory and Fuzzy Logic , In: Uncertainty Modeling, Kreinovich, V.(Ed.), Springer, 2017, 251-272.

  17. Vityaev E., Kovalerchuk, B. Ontological Data Mining, In: Uncertainty Modeling, In: Uncertainty Modeling, Kreinovich, V.(Ed.), Springer, 2017, 277-292.

    18. 2016

  18. Kovalerchuk B., Perlovsky L., Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models , In: R. Abielmona et al. (eds.), Recent Advances in Computational Intelligence in Defense and Security, Studies in Computational Intelligence 621, pp. 695-726, Springer, Switzerland, 2016, DOI 10.1007/978-3-319-26450-9_25 Kovalerchuk, Perlovsky. Sensor Resource Management. Optimization Methodology and Models

    19. 2014

  19. Galitsky B., Kovalerchuk B., Improving Web Search Relevance with Learning Structure of Domain Concepts , In: Clusters, Orders, and Trees: Methods and Applications , Aleskerov, F. Goldengorin, B. Pardalos, P.M. (Eds.), pp. 311-363, Springer, 2014.

    20. 2013

  20. Kovalerchuk B., Quest for Rigorous Combining Probabilistic and Fuzzy Logic Approaches for Computing with Words , In: R. Seising, E. Trillas, C.Moraga, S.Termini (eds.): On Fuzziness. A Homage to Lotfi A. Zadeh (Studies in Fuzziness and Soft Computing Vol. 216), Berlin, New York: Springer 2013. Vol. 1. pp. 333-344.

    21. 2012

  21. Kovalerchuk, B., Delizy, F., Riggs, L., Visual Data Mining and Discovery with Binarized Vectors , in: Data Mining: Foundations and Intelligent Paradigms (2012) 24: 135-156

    22. 2011

  22. Kovalerchuk, B., Balinsky, A., Visual Data Mining and Discovery in Multivariate Data using Monotone n-D Structure , In: Knowledge Processing and Data Analysis , Wolff, K.E.; Palchunov, D.E.; Zagoruiko, N.G.; Andelfinger, U. (Eds.), Springer, Lecture Notes in Computer Science, 2011, Volume 6581/2011, pp. 297-313, DOI: 10.1007/978-3-642-22140-8_20

    23. 2010

  23. Resconi, G., Kovalerchuk, B., Agents in Quantum and Neural Uncertainty In: Multi-Agent Applications for Evolutionary Computation and Biologically Inspired Technologies. Shu-Heng Chen, Yasushi Kambayashi (Eds), 2010, IGI Global, Hershey, New York, ISBN: 978-1-60566-898-7, pp 50-76.

  24. Kovalerchuk, B., Vityaev, E., Data Mining for Financial Applications . In: O. Maimon, L. Rokach (Eds.): The Data Mining and Knowledge Discovery Handbook. Springer 2005, pp. 1203-1224. Second edition 2010

    25. 2009

  25. Resconi, G., Kovalerchuk, B., Agent Uncertainty Model and Quantum Mechanics Representation: Non-locality Modeling , In: Jain L.C., Nguyen N.T. (Eds.): Knowledge Processing and Decision Making in Agent-Based Systems, Springer, 2009, pp 217-246.

    26. 2001

  26. Kovalerchuk, B., Vityaev E., Ruiz J.F., Consistent and Complete Data and Expert Mining in Medicine , In: Medical Data Mining and Knowledge Discovery, Springer, 2001, pp. 238-280.

    27. 1997

  27. Triantaphyllou, E., Kovalerchuk, B., Deshpande, A., Some recent developments of using logical analysis for inferring a Boolean function with few clauses . In: R. Barr, R. Helgason, L. Kennington (Eds.), Interfaces in Computer Science and Operations Research Series, Vol. 7, Kluwer, 1997, pp. 215-236

    28. 1996

  28. Kovalerchuk, B., Triantaphyllou, E., Ruiz, J.F. Monotonicity and logical analysis of data: a mechanism for evaluation of mammographic and clinical data . In: Computer applications to assist radiology, Symposia Foundation, Carlsbad, CA, 1996, pp. 191-196.

    29. 1994

  29. Kovalerchuk, B. Current situation in foundations of fuzzy optimization. In: M. Delgado, J. Kacprzyk, J. L. Verdegay and M.A. Vila (Eds.): Fuzzy Optimization: Recent Advances, Studies in Fuzziness, Springer, Heidelberg, NY, 1994, pp.45-60.

    30. 1980

  30. Kovalerchuk, B. Optimal distribution of n jobs to m partially changeable processors. In: Application of optimization methods in planning and control. (Ed. L.V. Kantorovich), Moscow, 1980, pp. 245-253 (in Russian).

    31. Web Publications

  31. Vityaev, E., Kovalerchuk, B., Website Scientific Discovery

  32. Kovalerchuk, B., Vityaev, E., Yusupov, H. Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications. arXiv.org: Computational Engineering, Finance, and Science, cs.CE/0208022, 20 p., 2002

  33. Kovalerchuk, B., Comments on proposed Microsoft OLE DB for Data Mining standard, KDNuggets, 2000

  34. Kovalerchuk, B.,Vityaev, E., Ruiz, J., Integrated consistent and complete expert and data mining , 2003

    35. Preprints

    2026

  35. Kovalerchuk, B, Artificial Intelligence and Visualization: Toward Visual Knowledge Discovery .

    36. 2025

  36. Kovalerchuk, B, Fegley, B., LLM Enhancement with Domain Expert Mental Model to Reduce LLM Hallucination with Causal Prompt Engineering , arXiv preprint arXiv:2509.10818

  37. Williams A, Kovalerchuk B. Quantifying AI Model Trust via Sureness Measure by Iterative Supervised Learning and Visual Knowledge Discovery.

    38. 2024

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

    39. Papers

    2026

  39. Williams, A., Kovalerchuk, B. Quantifying AI Model Trust as a Model Sureness Measure by Bidirectional Active Processing and Visual Knowledge Discovery . Electronics 2026, 15, 580. https://doi.org/10.3390/electronics1503058

  40. Kovalerchuk, B., Williams, A. Lossless Visual Analysis of Multidimensional Data in Collocated Paired Coordinates for Machine Learning , HCII Conference, Montreal, 2026, Springer (in print).

    41. 2025

  41. Kovalerchuk B., Huber L., Multilayer Machine Learning with Visual Knowledge Discovery , Information Visualization Journal, 2025, https://doi.org/10.1177/14738716251363233

  42. Williams A., Kovalerchuk B., High-Dimensional Data Classification in Concentric Coordinates. Information Visualization Conference, 2025, IEEE arXiv preprint arXiv:2507.18450

  43. Snider A., Gallagher R., Kovalerchuk B. Fully Explainable Classification Models Using Hyperblocks, Information Visualization Conference, 2025, IEEE. https://arxiv.org/html/2506.06986v1

  44. Cutlip N., Kovalerchuk B. Interpretable Visual Representation Learning with Animated Glyphs in Shifted Paired Coordinates, Information Visualization Conference, 2025, IEEE.

  45. Williams, A., Kovalerchuk, B. Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery. In: Degen, H., Ntoa, S. eds) Artificial Intelligence in HCI. HCII 2025. Lecture Notes in Computer Science, vol 15822. pp 391-412, Springer, Cham. https://doi.org/10.1007/978-3-031-93429-2_26 , https://arxiv.org/pdf/2502.07039v1

  46. Gâlmeanu, H., Kovalerchuk, B., Andonie, R. Interactive Discovery of Concept Drift with Lossless Visualization in Machine Learning. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2025. Lecture Notes in Computer Science, vol 15822. pp 310-324 Springer, Cham. https://doi.org/10.1007/978-3-031-93429-2_21

    47. 2024

  47. Boris Kovalerchuk. Interpretable AI/ML for High-stakes Tasks with Human-in-the-loop: Critical Review and Future Trends , 29 February 2024, PREPRINTs at Research Square: PREPRINT (Version 1), PREPRINT (Version 2).

  48. Williams A., Kovalerchuk B., Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates , 2024 28th International Conference Information Visualisation (IV), pp.272-279, 2024, IEEE.

  49. Kovalerchuk B., Martinez J., Fleagle M., Visual Explanation of Machine Learning Models in Shifted Paired Coordinates in 3D , 2024 28th International Conference Information Visualisation (IV), pp.258-265, 2024, IEEE.

  50. Huber H, Kovalerchuk B. Monotone Functions and Models for Explanation of Machine Learning Models , 2024 28th International Conference Information Visualisation (IV), pp.227-235, 2024, IEEE.

  51. Huber L., Kovalerchuk B. Multilayer Development and Explanation of Machine Learning Models with Visual Knowledge Discovery , 2024 28th International Conference Information Visualisation (IV), pp.286-293 2024, IEEE.

  52. Luque L., Ganuza ML., Bjerg E., Kovalerchuk B. Visual Analysis of Spinels with General Line Coordinates , 2024 28th International Conference Information Visualisation (IV), pp.221-226 2024, IEEE.

    53. 2023

  53. Huber L., Kovalerchuk B. No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0 , in: 27th International Conference Information Visualisation, Tampere, Finland,  IEEE, 2023. pp. 316-322

  54. Martinez J., Kovalerchuk B. General Line Coordinates in 3D , In 27th International Conference Information Visualisation, Tampere, Finland, IEEE, 2023, pp 308-315, http://arxiv.org/abs/2403.13014

  55. Kovalerchuk, B., Fegley B. Principal Components in General Line Coordinates for Visualization and Machine Learning . 27th International Conference Information Visualisation, Tampere, Finland,  IEEE, 2023, pp. 300-307.

  56. Cutlip N., Kovalerchuk B. Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data , 27th International Conference Information Visualisation, Tampere, Finland, IEEE, 2023, pp. 292-299.

    57. 2022

  57. Kovalerchuk. B. Lossless High-Dimensional Visualization for Scientific Discovery , DoE ASCR Workshop on Visualization for Scientific Discovery, Decision-Making, & Communication. January 18-20, 2022

  58. Kovalerchuk B., McCoy E. Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery , in: 26th International Conference Information Visualisation, 2022, pp. 314-321, IEEE, arXiv:2206.06476.

  59. Worland A., Wagle S., Kovalerchuk B. Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models , in: 26th International Conference Information Visualisation, 2022, pp. 351-358, IEEE, arXiv:2205.04035.

  60. Recaido C., Kovalerchuk B. Interpretable Machine Learning for Self-Service High-Risk Decision-Making , in: 26th International Conference Information Visualisation, 2022, pp. 322-329, IEEE, arXiv:2205.04032.

    61. 2021

  61. Kovalerchuk B, Hayes D. Discovering Interpretable Machine Learning Models in Parallel Coordinates. In: 2021 25th International Conference Information Visualisation (IV) 2021 Jul 5 (pp. 181-188). IEEE, https://arxiv.org/pdf/2106.07474

  62. Kovalerchuk, B., Phan J., Full interpretable machine learning in 2D with inline coordinates. 25th International Conference Information Visualisation IV-2021, Australia, Jul 5-9 2021, Vol. 1, pp. 189-196, IEEE, DOI 10.1109/IV53921.2021.00038, https://arxiv.org/pdf/2106.07568

  63. Kovalerchuk B., Germano Resconi (1942-2020) and research on uncertainty modeling, Mathware & Soft Computing Magazine. Vol. 27 n. 1, pp. 10-14, 2021, https://www.eusflat.org/materials/mathware-vol27n1.pdf

  64. SN Wagle, B Kovalerchuk Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning , arXiv preprint https://arxiv.org/pdf/2107.04971

    65. 2020

  65. Kovalerchuk B. Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means , WSDM '20: Proceedings of the 13th International Conference on Web Search and Data Mining, January 2020, pp. 881-883

  66. Kovalerchuk, B, Agarwal B., Kalla, D. Solving Non-image Learning Problems by Mapping to Images , 24th International Conference Information Visualisation IV-2020, Melbourne, Victoria, Australia, 7-11 Sept.2020, IEEE, DOI 10.1109/IV51561.2020.00050

  67. Wagle, S., Kovalerchuk, B. Interactive Visual Self-Service Data Classification Approach to Democratize Machine Learning , 24th International Conference Information Visualisation IV-2020, Melbourne, Victoria, Australia, 7-11 Sept.2020, IEEE, DOI 10.1109/IV51561.2020.00052

  68. McDonald, R., Kovalerchuk, B. Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates , 24th International Conference Information Visualisation IV-2020, Melbourne, Victoria, Australia, 7-11 Sept.2020, IEEE, DOI 10.1109/IV51561.2020.00053

    69. 2019

  69. N. Neuhaus, B. Kovalerchuk Interpretable Machine Learning with Boosting by Boolean Algorithm Joint 2019 8th Intern. Conf. on Informatics, Electronics & Vision (ICIEV) & 3rd Intern. Conf. on Imaging, Vision & Pattern Recognition (IVPR), Spokane, WA, 2019, 307-311.

  70. Kovalerchuk B. Tutorial: Visual Knowledge Discovery and Machine Learning. In: 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR) 2019 May 30 (pp. 1-2). IEEE.

  71. Kovalerchuk B. Interpretable Knowledge Discovery Reinforced by Visual Methods. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 Jul 25 (pp. 3219-3220). ACM.

    72. 2018

  72. Kovalerchuk B., Neuhaus, N. Toward Efficient Automation of Interpretable Machine Learning . In: 2018 IEEE International Conference on Big Data, pp. 4933-4940, 978-1-5386-5035-6/18, Seattle, Dec. 10-13, 2018 IEEE.

  73. Kovalerchuk, B., Grishin, V. Reversible Data Visualization to Support Machine Learning , In: Human Interface and the Management of Information. Interaction, Visualization, and Analytics, Lecture Notes in Computer Science series, Vol. 10904, 2018, pp. 45-59, Springer.

  74. Kovalerchuk B., Gharawi A. Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery , In: Human Interface and the Management of Information. Interaction, Visualization, and Analytics, Lecture Notes in Computer Science series, Vol. 10904, 2018, pp. 505-526. Springer.

  75. Dovhalets, D., Kovalerchuk, B., Vajda, S. Andonie, R. Deep Learning of 2-D Images Representing n-D Data in General Line Coordinates , ISASE-MAICS 2018, Spokane, WA, 2018. Deep Learning of 2-D Images Representing n-D Data in General Line Coordinates .

    76. 2017

  76. Kovalerchuk, B. & Dovhalets, D., 2017. Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data . Informatics, 4(3), p.23. Available at: http://dx.doi.org/10.3390/informatics4030023 .

  77. Wilinski, A., & Kovalerchuk, B. Visual knowledge discovery and machine learning for investment strategy . Cognitive Systems Research, 44, pp.100-114. Available at: http://dx.doi.org/10.1016/j.cogsys.2017.04.004

  78. Kovalerchuk, B., Kovalerchuk, M. Toward Virtual Data Scientist, In: Proc. of IJCNN 2017, Anchorage, Alaska, May 14-19, 2017, IEEE, pp. 3073-3080.

  79. Smigaj, A, Kovalerchuk, B. Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation . Lecture Notes in Computer Science, pp.660-674. 2017. Available at: http://dx.doi.org/10.1007/978-3-319-58697-7_49 .

  80. Kovalerchuk B., Grishin V. Adjustable General Line Coordinates for Visual Knowledge Discovery in n-D data , Information Visualization, First published date: July-09-2017, doi: 10.1177/1473871617715860, Information Visualization, Vol. 8 Issue 1, January 2019, pp. 3-32.

  81. Kovalerchuk, B. Visual cognitive algorithms for high-dimensional data and super-intelligence challenges . Cognitive Systems Research, 45, pp.95-108. 2017.

  82. Kovalerchuk B., Kreinovich V. Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks , Concepts of solutions of uncertain equations with intervals, probabilities and fuzzy sets for applied tasks , Granular Computing, (2017) 2:121-130. Published online Oct 18, 2016, DOI 10.1007/s41066-016-0031-4

    83. 2016

  83. Kovalerchuk B., Grishin V. Visual Data Mining in Closed Contour Coordinates IS&T International Symposium on Electronic Imaging 2016, San Francisco, CA, Visualization and Data Analysis 2016, VDA-503.1- VDA-503.10.

  84. Kovalerchuk, B., Kreinovich V. Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches 2016 IEEE International Conference on Fuzzy Systems (FUZZ), 1478-1483, IEEE 2016,

  85. Kovalerchuk B. Super-intelligence Challenges and Lossless Visual Representation of High-Dimensional Data 2016 International Joint Conference on Neural Networks (IJCNN), 1803-1810, IEEE 2016

    86. 2015

  86. Kovalerchuk, B., Perlovsky L. Rigorous Sensor Resource Management: Methodology and Evolutionary Optimization, In: Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2015, 05-26-28, 2015, Verona, NY), IEEE, pp.1-8, DOI: 10.1109/CISDA.2015.7208621

  87. Kovalerchuk, B. Summation of Linguistic Numbers, Proc. of North American Fuzzy Information Processing Society (NAFIPS) and World Congress on Soft Computing, 08-17-19, 2015, Redmond, WA pp.1-6. DOI: 10.1109/NAFIPS-WConSC.2015.7284161

  88. Kovalerchuk, B., Smigaj A. Computing with words beyond quantitative words: incongruity modeling, Proc. of North American Fuzzy Information Processing Society (NAFIPS) and World Congress on Soft Computing, 08-17-19, 2015, Redmond, WA, IEEE, pp. 226-233. DOI: 10.1109/NAFIPS-WConSC.2015.7284193

    89. 2014

  89. Kovalerchuk, B. Visualization of multidimensional data with collocated paired coordinates and general line coordinates , In: SPIE Visualization and Data Analysis 2014, Proc. SPIE 9017, Paper 90170I, doi: 10.1117/12.2042427 , 15 p.

  90. Kovalerchuk B., Grishin V. Collaborative lossless visualization of n-D data by collocated paired coordinates, CDVE 2014, Seattle, UW, Sept 2014, Y. Luo(Ed.): CDVE 2014, LNCS 8683, pp. 19-26, Springer Switzerland, 2014.

  91. Grishin V., Kovalerchuk, B. Multidimensional collaborative lossless visualization: experimental study, CDVE 2014, Seattle, UW, Sept 2014. Luo (Ed.): CDVE 2014, LNCS 8683, pp. 27-35, Springer Switzerland, 2014.

  92. Kovalerchuk, B. Probabilistic Solution of Zadeh’s test problems, In: A. Laurent et al. (Eds.): IPMU 2014, Part II, CCIS 443, pp. 536-545, Springer, 2014

    93. 2013

  93. Vityaev, E.E.,Perlovsky,L.I., Kovalerchuk B,Ya., Speransky S.O. Probabilistic dynamic logic of cognition , Biologically Inspired Cognitive Architectures Journal,  Vol. 6, 2013, pp. 159-168, Elsevier, 2013, Invited Article

  94. Kovalerchuk, B. Quest for rigorous intelligent tutoring systems under uncertainty: Computing with Words and Images, In: Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013. pp. 685 - 690, DOI: 10.1109/IFSA-NAFIPS.2013.6608483

  95. Kovalerchuk, B. Correlation of partial frames in video matching, SPIE Proceedings Vol. 8747, Geospatial InfoFusion III, Matthew F. Pellechia; Richard J. Sorensen; Kannappan Palaniappan, Editors, 87470l, pp. 1-12, 2013, Doi: 10.1117/12.2016645

  96. Kovalerchuk B., Streltsov S., Best M. Guidance in feature extraction to resolve uncertainty, SPIE Proceedings Vol. 8747, Geospatial InfoFusion III, Matthew F. Pellechia; Richard J. Sorensen; Kannappan Palaniappan, Editors, 12 pages; 874707, 2013, DOI: 10.1117/12.2016509

    97. 2012

  97. B.Kovalerchuk Overview of the Panel at WCCI-2012 , Mathware & Soft Computing Magazine, Vol. 19 n. 2, pp. 28-30, 2012.

  98. B. Kovalerchuk On Rigorous Computing with Words , Mathware & Soft Computing Magazine, Vol. 19 n. 2, pp. 38-40, 2012.

  99. B. Kovalerchuk, L. Perlovsky, G.Wheeler Modeling of Phenomena and Dynamic Logic of Phenomena , Journal of Applied Non-classical Logics, 22(1): 51-82 (2012). http://www.tandfonline.com/doi/abs/10.1080/11663081.2012.682439

  100. B.Kovalerchuk, L.Perlovsky, M.Kovalerchuk Modeling spatial uncertainties in geospatial data fusion and mining , SPIE Proc., 8396-24, pp1-10 (2012).

  101. B.Kovalerchuk Fuzzy Logic, Probability, and Measurement: Similarities and Differences in Computing with Words , 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia. IEEE digital media 2012.

    102. 2011

  102. Kovalerchuk B. Perlovsky L. Uncertainty Modeling for Spatial Data Fusion and Mining, In: Proc. of 2011 IEEE Symposium Series on Computational Intelligence (SSCI), Paris, France, 11 Apr - 15 Apr 2011

  103. B. Galitsky, J. Lluis de la Rosa, B. Kovalerchuk Discovering common outcomes of agent's communicative actions in various domains . Knowl.-Based Syst. 24 (2): 210-229 (2011)

  104. B.Galitsky, B.Kovalerchuk, J. Lluis de la Rosa Assessing plausibility of explanation and meta-explanation in inter-human conflicts Eng. Appl. of AI 24 (8): 1472-1486 (2011)

  105. Витяев Е.Е., Перловский Л.И., Ковалерчук Б.Я., Сперанский С.О. Вероятностная динамическая логика мышления , Нейроинформатика, 2011, том 5, № 1 (in Russian)

    106. 2010

  106. Kovalerchuk, B., Delizy F., Riggs L., Vityaev E. Visual Discovery in Multivariate Binary Data, SPIE Vol. 7530: SPIE Visualization and Data Analysis 2010, Jinah Park; Ming C. Hao; Pak C. Wong; Chaomei Chen, Editors, 75300B

  107. Kovalerchuk B., Resconi., G. Agent-based Uncertainty Logic Network , 2010 IEEE World Congress on Computational Intelligence, Barcelona, Jul 18-23, 2010.

  108. Kovalerchuk B. Interpretable Fuzzy Systems: Analysis of T-norm interpretability, 2010 IEEE World Congress on Computational Intelligence, Barcelona, Jul 18-23, 2010.

  109. Vityaev, E., Kovalerchuk B., Perlovsky L., Smerdov S. Probabilistic Dynamic Logic of Phenomena and Cognition, 2010 IEEE World Congress on Computational Intelligence, Barcelona, Jul 18-23, 2010.

    110. 2009

  110. Resconi, G., Kovalerchuk, B. Agent`s model of uncertainty , Knowledge and Information Systems Journal, Springer London, vol. 18, no. 2, pp. 213-229, Feb 2009, DOI 10.1007/s10115-008-0164-0.

  111. Galitsky B, Kovalerchuk B. Characterizing dialogue plausibility by explanation phase space, In Computational Intelligence (CI 2009), IASTED Int. Conf. Editor: B. Kovalerchuk, August 17-19, 2009, Honolulu, Hawaii, USA, Acta Press.

  112. Kovalerchuk, B. Modeling ATR processes prior to experimentation to predict ATR system performance, The 12th International Conference on Information Fusion, Seattle, USA, 6-9 July 2009

  113. Kovalerchuk B., Perlovsky L. Fusion and Mining Spatial Data in Cyber-physical space with Phenomena Dynamic Logic, In: Proceedings of the 2009 International Joint Conference on Neural Networks Atlanta, Georgia, USA, pp: 2440-2447

  114. Resconi G., Kovalerchuk, B. Agents in Neural Uncertainty , In: Proc. IEEE 2009 International Joint Conference on Neural Networks, Atlanta, GA, June 2009, pp: 2448-2455, Agents in Neural Uncertainty

  115. Vityaev E., Kovalerchuk, B. Method for extracting knowledge from experts, In: Information Technology in Social Sciences, Vol. 13, IAET SO RAN, Novosibirsk, Russia, 2009, pp. 75-81 (in Russian)

    116. 2008

  116. Kovalerchuk, B., Vityaev E. Symbolic Methodology for numeric data mining, Intelligent Data Analysis, vol. 12, N 2, 2008, pp. 165-188.

  117. Vityaev E., Kovalerchuk, B. Relational methodology for data mining and knowledge discovery, Intelligent Data Analysis, vol. 12, N 2, 2008, pp. 189-210.

  118. Kovalerchuk B. Combining Invariance, Robustness, and Stability in Computer Vision, In: Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging, Feb.13-15, 2008, Innsbruck, Austria, 2008 ACTA Press, Anaheim, CA, 600-803, pp. 267-272.

  119. Kovalerchuk B., Perlovsky, L. Dynamic Logic of Phenomena and Cognition, In: The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), Hong Kong, IEEE 2008, 3529-3536.

  120. Resconi, G., Kovalerchuk B. Fusion in Agent-Based Uncertainty Theory and Neural Image of Uncertainty , In: The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), Hong Kong, IEEE 2008, 3537-3543.

  121. Galitsky, B., Kuznetsov, S., Kovalerchuk, B. Argumentation vs Meta-argumentation for the Assessment of Multi-agent Conflict, The Twenty-Third AAAI Conference On Artificial Intelligence (AAAI-08), July 13-17, 2008, Chicago

  122. Galitsky B., Kuznetsov S.O., Kovalerchuk B. Argumentation Phase Space of a Multi-agent System . XIth Russian Artificial Intelligence Conference, Dubna, Russia, Sept 29-Oct 3, 2008.

  123. Vityaev E., Kovalerchuk B., Fedotov, A., Barakhnin B., Below S., Durdin D., Demin A. Discovery regularities and recognition of anomalous events in the computer network traffic data. Vestnik Novosibisk State University, Information Technology, V. 6 (2), Novosibisk, Russia, 2008, pp. 57-68 (in Russian).

    124. 2007

  124. Zagoruiko, N. G., Gulyaevskii, S. E., Kovalerchuk, B.Ya. Ontology of the Data Mining Subject Domain, Pattern Recognition and Image Analysis Journal, 2007, Vol. 17, No. 3, pp. 349-356. Pleiades Publishing, Ltd.

  125. Kovalerchuk B. Visual Knowledge Discovery: from Euclid and Diophantus to Visual Data Mining, In; Proc. Knowledge-Ontologies-Theory Int. Conference, Russian Academy of Sciences, Novosibirsk, Russia, v. pp. 71-72 (in Russian).

  126. Doucette, P., Kovalerchuk, B., Brigantic, R., Seedahmed, G., Graff, B. Methodology for automated image-to-vector registration, Proc. IEEE Applied Imagery Pattern Recognition (AIPR) workshop 2007, Washington, DC, Oct 10-12, 2007

  127. Kovalerchuk, B., Vityaev E., and Holtfreter, R. Correlation of Complex Evidence in Forensic Accounting Using Data Mining, Journal of Forensic Accounting, 1524-5586 / Vol.VIII (2007), pp. 53-88, 2007, R.T. Edwards, Inc.

  128. Resconi G., Kovalerchuk, B. Hierarchy of logics of irrational and conflicting agents , In Nguyen N.T. et al. (2007, Eds): Agent and Multi-agent Systems: Technologies and Applications. Proceedings of KES-AMSTA 2007, Wroclaw, Poland, May 1-6, 2007, Lecture Notes in Artificial Intelligence 4496. Springer, pp. 179-189.

  129. Kovalerchuk, B., Perlovsky, L. Modeling Field Theory and Dynamic Logic, In: Proc of IEEE International Conference Integration of Knowledge Intensive Multi-Agent Systems, KIMAS '07, April 29-May 3, 2007, Waltham, Massachusetts

  130. Kovalerchuk, B., Resconi G., Break of Logic Symmetry by Self-conflicting Agents: Descriptive vs. Prescriptive Rules , In: proc of IEEE International Conference Integration of Knowledge Intensive Multi-Agent Systems, KIMAS '07, April 29-May 3, 2007, Waltham, Massachusetts

  131. Kovalerchuk, B. Structural and metric correlation of electro-optical and radar generated tracks, SPIE Proc. Vol. 6565-8, April 9-12, 2007.

  132. Kovalerchuk, B. Affine invariant and robust image registration/conflation algorithm, SPIE Defense and Security Symposium, Orlando, FL, Proc, Vol., 6568, 6568-05,2007, April 9-12.

  133. Galitsky B., Kovalerchuk, B. Learning interaction between conflicting human agents and their assistants, AAAI 2007 Spring Symposium Interaction Challenges for Intelligent Assistants, 26-28 March 2007, Stanford University, CA, USA, AAAI Press, TR SS-07-04,

  134. Kovalerchuk, B., Lemley, J., Gorbach, A. An algorithm to stabilize a sequence of thermal brain images, SPIE Medical Imaging Conference, San Diego, Feb, 17-22, 2007, Proc. SPIE Vol. 6512, 6512-10, 2007.

  135. Resconi, G., Kovalerchuk, B. Explanatory model for the break of logic equivalence by irrational agents in Elkan’s Paradox , Eleventh International Conference on Computer Aided Systems Theory, EUROCAST, Feb 12-16, 2007, Las Palmas, Spain.

    136. 2006

  136. Kovalerchuk B. (Editor), Proc. of the Second IASTED International Conference on Computational Intelligence, CI 2006, November 20-22, 2006, San Francisco, California, USA.

  137. Galitsky B., Kovalerchuk, B. Mining the attitudes of conflicting human agents. In: Proc. of the Second IASTED International Conference on Computational Intelligence, CI 2006, November 20-22, 2006, San Francisco, California, USA.

  138. Resconi, G., Kovalerchuk, B. The Logic of Uncertainty with Irrational Agents , Joint International Information Science Conference, Taiwan, Oct. 2006.Atlantis Press, ISBN: 978-90-78677-01-7

  139. Galitsky B., Kovalerchuk, B. Analyzing attitude in customer emails: a tool for complaint assessment, Proceedings of the SIGIR 2006 Workshop on Directions in Computational Analysis of Stylistics in Text Retrieval, Part of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, WA.,, USA, August 10, 2006, pp. 17-36.

  140. Kovalerchuk, B., Kamatkova, Yu., and Doucette, P. Overcoming the combined effect of geometric distortion and object change in image registration and conflation, Proc. SPIE Vol. 6233-Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, 62331S (May. 4, 2006)

  141. Kovalerchuk. B., Kovalerchuk, M., Sumner W. Robust and affine Invariant Image Fusion: Algorithm and ARCGIS Plug-In, In Proc. of ASPRS annual conference, 2006, Reno, NE, May 2006.

  142. Galitsky B., Kovalerchuk, B. Mining the blogosphere for contributor`s sentiments, In Proc. of AAAI 2006 Spring Symposium on Computational Approaches to Analyzing Weblogs, March 27-29, 2006, Stanford University, CA, USA.

    143. 2005

  143. B. Kovalerchuk, M. Kovalerchuk, W. Sumner, A. Haase Image Conflation and Change Detection Using Area Ratios, SPIE Defense and Security Symposium, Orlando, FL, 28 March - 1 April 2005

  144. B. Kovalerchuk and R. Chase Image Analysis Method for Overcoming Source Distortion Using Algebraic Invariant Methods, In: SPIE Proceedings Vol. 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, Sylvia S. Shen; Paul E. Lewis, Editors, 2005, pp. 371-381.

  145. B. Kovalerchuk, M. Kovalerchuk, W. Sumner, A. Haase Image Conflation and Change Detection Using Area Ratios, In: SPIE Defense and Security Symposium, Orlando, FL, 28 March- 1April 2005,

  146. M. Kovalerchuk and B. Kovalerchuk ASPRS 2005, Algorithm for Image Integration Invariant to Disproportional Scaling, In: ASPRS Annual Conference, Baltimore, Maryland March 7-11, 2005

  147. B. Kovalerchuk, W. Sumner, and R. Chase Analysis of Vector and Raster Image Integration with Disproportional Scaling, ASPRS 2005 Annual Conference Baltimore, Maryland March 7-11, 2005

  148. B. Kovalerchuk, A. Harper, and M. Kovalerchuk Design of Virtual Experts for Imagery Registration and Conflation, ASPRS 2005 Annual Conference Baltimore, Maryland March 7-11, 2005

  149. G. He, B. Kovalerchuk, and T. Mroz Multilevel Analytical and Visual Decision Framework for Imagery Registration and Conflation, ASPRS 2005 Annual Conference Baltimore, Maryland March 7-11, 2005

  150. Vityaev, E., Kovalerchuk, B. Relational Methodology for Data Mining and Knowledge Discovery. DEXA Workshops 2005, Copenhagen, pp. 725-729.

    151. 2004

  151. B. Kovalerchuk , W. Sumner, M. Curtiss, M. Kovalerchuk, R. Chase Matching Image Feature Structures Using Shoulder Analysis Method, In: Algorithms and technologies for multispectral, hyperspectral and ultraspectral imagery IX. Vol. 5425, International SPIE Military and Aerospace Symposium, AEROSENSE, Orlando, FL, April 12-15, 2004, pp. 508-519

  152. E. Vityaev, B. Kovalerchuk Empirical Theories Discovery based on the Measurement Theory. Mind and Machine, v.14, #4, 551-573, 2004

  153. Kovalerchuk, B., Vityaev E. Data mining in finance: from extremes to realism, Journal of Financial Transformation, 2004

  154. Andonie, R. Kovalerchuk, B. Neural Networks for Data Mining: Constrains and Open Problems, Proceedings of the 12th European Symposium on Artificial Neural Networks (ESANN 2004), M. Verleysen (ed.), Bruges, Belgium, April 28-30, 2004, 449-458.

    155. 2003

  155. Kovalerchuk, B. Context Space as a link between probability and non-classic uncertainty reasoning. In: Probabilistic ideas in science and philosophy, Conf. proc., Russian Academy of Sciences, Novosibirsk, Russia, Sept. 2003, pp. 95-99.

  156. Kovalerchuk B., Sumner W. Algebraic relational approach to conflating images, In: Algorithms and technologies for multispectral, hyperspectral and ultraspectral imagery IX. Vol. 5093, International SPIE military and aerospace symposium, AEROSENSE, Orlando, FL., April 21-25, 2003, pp. 621-630.

  157. Chase R., Kovalerchuk B. Computational Efficiency of Structural Image Matching In: Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2003, June 23-26, Las Vegas, pp. 253-259, 2003.

  158. Kovalerchuk B., Harper, A., Kovalerchuk, M. Virtual Experts for Imagery Registration and Conflation. In: Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2003, June 23-26, Las Vegas, pp. 260-266, 2003.

  159. Delizy F., Kovalerchuk B. Visual data Mining using monotone Boolean functions. In: Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2003, June 23-26, Las Vegas, pp. 267-273, 2003.

  160. Kovalerchuk B., Sumner W., Schwing J. Image registration and conflation based on structural characteristics, In Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2003, June 23-26, 2002, Las Vegas, pp. 239-245, 2003.

  161. Kovalerchuk, B., Vityaev, E. Detecting patterns of fraudulent behavior in forensic accounting, In Proc. of the Seventh International Conference Knowledge-based Intelligent Information and Engineering on Systems, Oxford, UK, Sept, 2003, part 1, pp. 502-509.

    162. 2002

  162. Kovalerchuk, B. Relational Text Mining and Visualization, In: Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies, KES 2002. Eds. E. Damiani, R. Howlett, L. Jain, N. Ichalkaranje, IOS Press, Amsterdam, 2002, part 2, pp. 1549-1554.

  163. Kovalerchuk, B., Schwing J. Algebraic relational approach for geospatial feature correlation, In: Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2002, June 24-27, 2002, Las Vegas, pp. 115-121, 2002.

  164. Vityaev, E., Kovalerchuk, B. Inverse Visualization in Data Mining In: Proceedings of the International Conference on Imaging Science, Systems, and Technology, Eds.: H. R. Arabnia, Youngsong Mun, Las Vegas, Nevada, USA, June 24-27, 2002, CSREA Press, v.1, 133-138

  165. Vityaev E.E., OrlovYu.L., Vishnevsky O.V., Kovalerchuk B.Ya., Belenok A.S., Podkolodnii N.L., Kolchanov N.A. Knowledge Discovery for Gene Regulatory Regions Analysis, In: Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies, KES 2002. Eds. E.Damiani, R. Howlett, L.Jain, N. Ichalkaranje, IOS Press, Amsterdam, 2002, part 1, pp. 487-491.

    166. 2001

  166. Kovalerchuk, B. Visualization and Decision-Making using Structural Information, In: Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2001, June 25-28, 2001, Las Vegas, pp. 478-484.

  167. Kovalerchuk, B., Schwing J. Mathematical support for combining geospatial data, In: Proceedings of International Conference on Imaging Science, Systems, and Technology CISST'2001, June 25-28, 2001, Las Vegas, pp. 485-491.

  168. Vityaev E.E., Orlov Yu.L., Vishnevsky O.V., Kovalerchuk B.Ya., Belenok A.S., Podkolodnii N.L., Kolchanov N.A. Computer system "Gene Discovery" for functional annotation of DNA sequences. In: ECML'2001 Workshop Machine Learning as Philosophy of Science, Eds. K.B. Korb, H. Bensusan, Freiburg, Sept., 2001. p. 2-11.

  169. Bichindaritz I., Kovalerchuk B. An Image Analysis Memory for Imagery Decision Support, CISST , Las Vegas, NV, 2001, pp. 473-477.

    170. 2000

  170. Kovalerchuk, B. Book review: Safe and Sound, AI in hazardous applications by John Fox and Subrata Das, MIT Press, 2000 MIT Press. IEEE Engineering in Medicine and Biology, v. 20. n. 1, 2001, pp. 136-137.

  171. Kovalerchuk B., Vityaev E., Ruiz J. Consistent knowledge discovery in medical diagnosis, IEEE Engineering in Medicine and Biology, Special issue on Data Mining and Knowledge Discovery, v. 19, n. 4, pp. 26-37, 2000.

  172. Kovalerchuk B., Triantaphyllou E., Ruiz J., Torvik, V., Vityaev, E. The reliability issue of Computer-Aided Breast cancer Diagnosis, Computers and Biomedical Research, v. 33, pp. 296-313, 2000. Abstract

  173. Kovalerchuk, B., Todd C., Henderson D. Testing Neural Networks Using the Complete Round Robin Method, Proc. 5th Joint Conference on Information Sciences, February 27-March 3, 2000, Atlantic City, NJ, Association of Intelligent Machinery, vol. 1, pp.823-827, 2000. Short version. Abstract. Presentation ppt file.

    174. 1999

  174. Kovalerchuk, B., Vityaev E. Comparison of relational methods and attribute-based methods for data mining in intelligent systems, 1999 IEEE Int. Symposium on Intelligent Control/Intelligent Systems, Cambridge, Mass, 1999. pp. 162-166. Working version: Comparison of relational methods, attribute-based methods and hybrid methods in Data Mining

    175. 1998

  175. Kovalerchuk, B., Vityaev E. Discovering Law-like Regularities in Financial Time Series, Journal of Computational Intelligence in Finance, Vol.6, No.3, pp.12-26, 1998.

  176. Kovalerchuk B., Vityaev E. Inductive Logic Programming for Discovering Financial Regularities, Workshop Data Mining in Finance, KDD 98, NY, 1998.

  177. Kovalerchuk B., Conner N., Ruiz J., Clayton J. Fuzzy logic for formalization of breast imaging lexicon and feature extraction. 4th Workshop on Digital Mammography, Nijmegen, Netherlands, 1998.

  178. Kovalerchuk, B., Ruiz J.F., Vityaev E., Fisher S. Prototype Internet consultation system for radiologists Journal of Digital Imaging, vol. 11, n 3, Suppl., 1998, pp.22-26. Abstract.

  179. Kovalerchuk B., Kovalerchuk N. Object-Oriented Design and Multiresolution in Intelligent Control. Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC), IEEE, 1998, pp. 120-125

    180. 1997

  180. Kovalerchuk, B., Triantaphyllou, E., Ruiz J., Clayton J. Fuzzy Logic in Computer-Aided Breast Cancer Diagnosis: Analysis of Lobulation, Artificial Intelligence in Medicine, No. 11, pp. 75-85, 1997.

  181. Kovalerchuk, B., Vityaev, E., Ruiz J. Design of Consistent System for Radiologists to Support Breast Cancer Diagnosis. Proc. of Joint International Conf. of Information Sciences, March 1-5, 1997, Research Triangle Park, NC, Duke University, 1997, Vol. 2, pp. 118-121. Presentation ppt. Presentation html.

  182. Triantaphyllou, E., Kovalerchuk, B., Mann, L., Knapp G. Determining the most important criteria in maintenance decision making, Journal of quality in maintenance engineering, v. 3, n.1, 1997, pp. 16-28.

    183. 1996

  183. Kovalerchuk, B. Context spaces as necessary frames for correct approximate reasoning. International Journal of General Systems, v.25, n 1, 1996, pp. 61-80.

  184. Kovalerchuk, B., Vityaev, E., Triantaphyllou, E. How can AI procedures become more effective for Manufacturing? In: Proc. of Workshop "Artificial Intelligence and Manufacturing", Sandia National Laboratories, AAAI Press, 1996, pp. 103-111.

  185. Vityaev, E., Kovalerchuk, B. Logical data analysis of structural objects. The Fourth International Conference on Computational Biology: Intelligent Systems for Molecular Biology '96, June 12-15, 1996, St. Louis, Missouri.

  186. Kovalerchuk, B., Triantaphyllou, E., Despande, A.S., Vityaev, E. Interactive Learning of Monotone Boolean Functions , Information Sciences, Vol. 94, issue 1 4, 1996, pp. 87 118.

  187. Kovalerchuk, B., Triantaphyllou, E., Ruiz J.F., Clayton, J. Fuzzy logic in digital mammography: analysis of lobulation, Fifth IEEE International Conference on Fuzzy Systems, New Orleans, September 1996, pp. 1726-1731. Abstract.

  188. Kovalerchuk, B. Second interpolation for fuzzy control, Fifth IEEE International Conference on Fuzzy Systems, New Orleans, September 1996, pp. 150-155.

    189. 1995 and before

  189. Kovalerchuk, B., Triantaphyllou, E., Vityaev, E. Monotone Boolean Function Learning Technique Integrated with user interaction. In: Proc. of 12th International conf. on Machine Learning, Workshop "Learning from Examples", Tahoe City, USA, 1995, pp. 41 48. Postscript, Abstract. Short version

  190. Kovalerchuk, B., Klir, G. Linguistic context spaces and modal logic for approximate reasoning and fuzzy probability comparison. In: Proc. of Third International Symposium on Uncertainty Modeling and Analysis and NAFIPS' 95, College Park, Maryland, 1995, IEEE Computer Society Press, 1995, pp.A23 A28. Abstract

  191. Kovalerchuk, B. Advantages of Exact Complete Context for Fuzzy Control. International Joint Conference on Information Science, Duke University (USA), November 13-16, 1994, pp. 448-449.

  192. Kovalerchuk, B. Spaces of Linguistic Contexts: Concepts and Examples. Second European Congress on Intelligent Techniques and Soft Computing, Aachen, Germany, September 20-23, 1994, pp. 345-349.

  193. Kovalerchuk, B., et al. Comparison of interpolations in fuzzy control. 2nd IFAC Workshop on Computer Software Structures Integrating AI/KBS Systems in Process Control, Lund, Sweden, 1994, pp. 76-81.

  194. Kovalerchuk, B. Interpretation for Fuzzy Rules in Expert Systems and Control Systems. First Workshop on Fuzzy Based Expert Systems, Sofia, Bulgaria, 1994, pp. 81-82.

  195. Kovalerchuk, B., Berezin, S. Context for definition of fuzzy operations. First European Congress on Fuzzy and Intelligent Technologies, Aachen, 1993, pp. 1531-1536.

  196. Kovalerchuk, B., Talianski, V. Comparison of empirical and computed values of fuzzy conjunction. Fuzzy sets and systems, v. 46, 1992, pp. 49 53

  197. Kovalerchuk, B. Yusupov, H. Why are believe functions effective? Consideration of examples. Cybernetics and Systems Research'92, Vol 1, World Scientific, 1992, pp. 511-516.

  198. Kovalerchuk, B., Shapiro, D. On the relation of the probability theory and the fuzzy sets foundations. Computers and Artificial Intelligence, v.7, 1988, pp. 385-396.

  199. Kovalerchuk BY. On foundation of fuzzy decision making . IFAC Proceedings Volumes. 1983 Jul 1;16(12):241-5.