Interactive Learning of Monotone Boolean Functions. - Boris Kovalerchuk; Evangelos Triantaphyllou; Aniruddha S. Deshpande; Evgenii Vityaev 001 (Inf. Sci., 1996)

Fuzzy logic in computer-aided breast cancer diagnosis: analysis of lobulation. - Boris Kovalerchuk; Evangelos Triantaphyllou; James F. Ruiz; Jane Clayton (Artif. Intell. Medicine, 1997)

The Reliability Issue of Computer-Aided Breast Cancer Diagnosis. - Boris Kovalerchuk; Evangelos Triantaphyllou; James F. Ruiz; Vetle I. Torvik; Evgenii Vityaev 001 (Comput. Biomed. Res., 2000)

Program "Gene Discovery" for Pattern Matching in Promoter Sequences. - Yuri L. Orlov; Evgenii E. Vityaev 001; Oleg V. Vishnevsky; A. S. Belenok; Boris Kovalerchuk; Mikhail A. Pozdnyakov; Nikolay A. Kolchanov (German Conference on Bioinformatics, 2001)

Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications - Boris Kovalerchuk; Evgenii Vityaev 001; H. Yusupov (CoRR, 2002)

Computational Efficiency of Structural Image Matching. - Richard Chase; Boris Kovalerchuk (CISST, 2003)

Visual Data Mining Using Monotone Boolean Function. - Florian Delizy; Boris Kovalerchuk (CISST, 2003)

Virtual Experts for Imagery Registration and Conflation. - Boris Kovalerchuk; Artemus Harper; Michael Kovalerchuk (CISST, 2003)

Image Registration and Conflation Based on Structural Characteristics. - Boris Kovalerchuk; William Sumner; James L. Schwing (CISST, 2003)

Detecting Patterns of Fraudulent Behavior in Forensic Accounting. - Boris Kovalerchuk; Evgenii Vityaev 001 (KES, 2003)

Neural networks for data mining: constrains and open problems. - Razvan Andonie; Boris Kovalerchuk (ESANN, 2004)

Discovery of Empirical Theories Based on the Measurement Theory. - Evgenii E. Vityaev 001; Boris Kovalerchuk (Minds Mach., 2004)

Data Mining for Financial Applications. - Boris Kovalerchuk; Evgenii Vityaev 001 (The Data Mining and Knowledge Discovery Handbook, 2005)

Mining the Blogosphere for Contributors' Sentiments. - Boris A. Galitsky; Boris Kovalerchuk (AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs, 2006)

Mining emotional profiles using e-mail messages for earlier warnings of potential terrorist activities. - Boris A. Galitsky; Boris Kovalerchuk (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2006)

Mining the attitudes of conflicting human agents. - Boris A. Galitsky; Boris Kovalerchuk (Computational Intelligence, 2006)

The Logic of Uncertainty with Irrational Agents. - Boris Kovalerchuk; Germano Resconi (JCIS, 2006)

Learning Interaction between Conflicting Human Agents and Their Assistants. - Boris A. Galitsky; Boris Kovalerchuk (AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants, 2007)

A Methodology for Automated Vector-to-Image Registration. - Peter Doucette; Boris Kovalerchuk; Robert T. Brigantic; Gamal Seedahmed; Brian Graff (AIPR, 2007)

Explanatory Model for the Break of Logic Equivalence by Irrational Agents in Elkan's Paradox. - Germano Resconi; Boris Kovalerchuk (EUROCAST, 2007)

Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs. - Boris A. Galitsky; Boris Kovalerchuk; Sergei O. Kuznetsov (ICCS, 2007)

Hierarchy of Logics of Irrational and Conflicting Agents. - Germano Resconi; Boris Kovalerchuk (KES-AMSTA, 2007)

Visual Data Mining and Discovery in Multivariate Data Using Monotone n-D Structure. - Boris Kovalerchuk; Alexander Balinsky (KONT/KPP, 2007)

An algorithm to stabilize a sequence of thermal brain images. - Boris Kovalerchuk; Joseph Lemley; Alexander M. Gorbach (Image Processing, 2007)

Dynamic logic of phenomena and cognition. - Boris Kovalerchuk; Leonid I. Perlovsky (IJCNN, 2008)

Fusion in agent-based uncertainty theory and neural image of uncertainty. - Germano Resconi; Boris Kovalerchuk (IJCNN, 2008)

Symbolic methodology for numeric data mining. - Boris Kovalerchuk; Evgenii Vityaev 001 (Intell. Data Anal., 2008)

Relational methodology for data mining and knowledge discovery. - Evgenii E. Vityaev 001; Boris Kovalerchuk (Intell. Data Anal., 2008)

Modeling ATR processes to predict their performance by using invariance, robustness and self-refusal approach. - Boris Kovalerchuk (FUSION, 2009)

Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. - Boris Kovalerchuk; Leonid I. Perlovsky (IJCNN, 2009)

Agents in neural uncertainty. - Germano Resconi; Boris Kovalerchuk (IJCNN, 2009)

Agents' model of uncertainty. - Germano Resconi; Boris Kovalerchuk (Knowl. Inf. Syst., 2009)

Explanation Versus Meta-Explanation: What Makes a Case More Convincing. - Boris A. Galitsky; Josep Lluís de la Rosa; Boris Kovalerchuk (FLAIRS, 2010)

Interpretable Fuzzy Systems: Analysis of T-norm interpretability. - Boris Kovalerchuk (FUZZ-IEEE, 2010)

Agent-based uncertainty logic network. - Boris Kovalerchuk; Germano Resconi (FUZZ-IEEE, 2010)

Probabilistic Dynamic Logic of Phenomena and Cognition. - Evgenii Vityaev 001; Boris Kovalerchuk; Leonid I. Perlovsky; Stanislav Smerdov (IJCNN, 2010)

Visual discovery in multivariate binary data. - Boris Kovalerchuk; Florian Delizy; Logan Riggs; Evgenii Vityaev 001 (VDA, 2010)

Data Mining for Financial Applications. - Boris Kovalerchuk; Evgenii Vityaev 001 (Data Mining and Knowledge Discovery Handbook, 2010)

Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining. - Boris Kovalerchuk; Leonid I. Perlovsky (AIPR, 2011)

Uncertainty modeling for spatial data fusion and mining. - Boris Kovalerchuk; Leonid I. Perlovsky (CCMB, 2011)

Assessing plausibility of explanation and meta-explanation in inter-human conflicts. - Boris A. Galitsky; Boris Kovalerchuk; Josep Lluís de la Rosa (Eng. Appl. Artif. Intell., 2011)

Discovering common outcomes of agents' communicative actions in various domains. - Boris A. Galitsky; Josep Lluís de la Rosa; Boris Kovalerchuk (Knowl. Based Syst., 2011)

Modelling phenomena and dynamic logic of phenomena. - Boris Kovalerchuk; Leonid I. Perlovsky; Gregory R. Wheeler (J. Appl. Non Class. Logics, 2012)

Quest for Rigorous Combining Probabilistic and Fuzzy Logic Approaches for Computing with Words. - Boris Kovalerchuk (On Fuzziness (1), 2013)

Quest for rigorous intelligent tutoring systems under uncertainty: Computing with Words and Images. - Boris Kovalerchuk (IFSA/NAFIPS, 2013)

Multidimensional Collaborative Lossless Visualization: Experimental Study. - Vladimir Grishin; Boris Kovalerchuk (CDVE, 2014)

Collaborative Lossless Visualization of n-D Data by Collocated Paired Coordinates. - Boris Kovalerchuk; Vladimir Grishin (CDVE, 2014)

Probabilistic Solution of Zadeh's Test Problems. - Boris Kovalerchuk (IPMU (2), 2014)

Stars advantages vs parallel coordinates: shape perception as visualization reserve. - Vladimir Grishin; Boris Kovalerchuk (Visualization and Data Analysis, 2014)

Visualization of multidimensional data with collocated paired coordinates and general line coordinates. - Boris Kovalerchuk (Visualization and Data Analysis, 2014)

Rigorous sensor resource management: Methodology and evolutionary optimization. - Boris Kovalerchuk; Leonid I. Perlovsky (CISDA, 2015)

Summation of linguistic numbers. - Boris Kovalerchuk (NAFIPS/WConSC, 2015)

Computing with words beyond quantitative words: Incongruity modeling. - Boris Kovalerchuk; Andrew Smigaj (NAFIPS/WConSC, 2015)

Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches. - Boris Kovalerchuk; Vladik Kreinovich (FUZZ-IEEE, 2016)

Super-intelligence challenges and lossless visual representation of high-dimensional data. - Boris Kovalerchuk (IJCNN, 2016)

Visual Data Mining in Closed Contour Coordinates. - Boris Kovalerchuk; Vladimir Grishin (Visualization and Data Analysis, 2016)

Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models. - Boris Kovalerchuk; Leonid I. Perlovsky (Recent Advances in Computational Intelligence in Defense and Security, 2016)

Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation. - Andrew Smigaj; Boris Kovalerchuk (HCI (21), 2017)

Toward virtual data scientist with visual means. - Boris Kovalerchuk; Michael Kovalerchuk (IJCNN, 2017)

Visual cognitive algorithms for high-dimensional data and super-intelligence challenges. - Boris Kovalerchuk (Cogn. Syst. Res., 2017)

Visual knowledge discovery and machine learning for investment strategy. - Antoni Wilinski; Boris Kovalerchuk (Cogn. Syst. Res., 2017)

Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data. - Boris Kovalerchuk; Dmytro Dovhalets (Informatics, 2017)

Toward Efficient Automation of Interpretable Machine Learning. - Boris Kovalerchuk; Nathan Neuhaus (IEEE BigData, 2018)

Reversible Data Visualization to Support Machine Learning. - Boris Kovalerchuk; Vladimir Grishin (HCI (4), 2018)

Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery. - Boris Kovalerchuk; Abdulrahman Gharawi (HCI (4), 2018)

Visual Knowledge Discovery and Machine Learning - Boris Kovalerchuk (Springer, 2018)

Interpretable Knowledge Discovery Reinforced by Visual Methods. - Boris Kovalerchuk (KDD, 2019)

Adjustable general line coordinates for visual knowledge discovery in n-D data. - Boris Kovalerchuk; Vladimir Grishin (Inf. Vis., 2019)

Solving Non-image Learning Problems by Mapping to Images. - Boris Kovalerchuk; Bedant Agarwal; Divya Chandrika Kalla (IV, 2020)

Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates. - Rose McDonald; Boris Kovalerchuk (IV, 2020)

Interactive Visual Self-service Data Classification Approach to Democratize Machine Learning. - Sridevi Narayana Wagle; Boris Kovalerchuk (IV, 2020)

Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means. - Boris Kovalerchuk (WSDM, 2020)

Survey of explainable machine learning with visual and granular methods beyond quasi-explanations. - Boris Kovalerchuk; Muhammad Aurangzeb Ahmad; Ankur Teredesai (CoRR, 2020)

Discovering Interpretable Machine Learning Models in Parallel Coordinates. - Boris Kovalerchuk; Dustin Hayes (IV, 2021)

Full interpretable machine learning in 2D with inline coordinates. - Boris Kovalerchuk; Hoang Phan (IV, 2021)

Deep Learning Image Recognition for Non-images. - Boris Kovalerchuk; Divya Chandrika Kalla; Bedant Agarwal (CoRR, 2021)

Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning. - Sridevi Narayana Wagle; Boris Kovalerchuk (CoRR, 2021)

Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates. - Rose McDonald; Boris Kovalerchuk (CoRR, 2021)

Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery. - Boris Kovalerchuk; Elijah McCoy (IV, 2022)

Interpretable Machine Learning for Self-Service High-Risk Decision-Making. - Charles Recaido; Boris Kovalerchuk (IV, 2022)

Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models. - Alex Worland; Sridevi Narayana Wagle; Boris Kovalerchuk (IV, 2022)

Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions. - Boris Kovalerchuk; Razvan Andonie; Nuno Datia; Kawa Nazemi; Ebad Banissi (CoRR, 2022)

Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data. - Nicholas Cutlip; Boris Kovalerchuk (IV, 2023)

No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0. - Lincoln Huber; Boris Kovalerchuk (IV, 2023)

Principal Components in General Line Coordinates for Visualization and Machine Learning. - Boris Kovalerchuk; Brent D. Fegley (IV, 2023)

General Line Coordinates in 3D. - Joshua Martinez 002; Boris Kovalerchuk (IV, 2023)

Visual Knowledge Discovery with General Line Coordinates. - Lincoln Huber; Boris Kovalerchuk; Charles Recaido (CoRR, 2023)

Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling. - Boris Kovalerchuk; Andrew Dunn; Alex Worland; Sridevi Narayana Wagle (CoRR, 2023)

Parallel Coordinates for Discovery of Interpretable Machine Learning Models. - Dustin Hayes; Boris Kovalerchuk (CoRR, 2023)

Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization. - Boris Kovalerchuk; Elijah McCoy (CoRR, 2023)

Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space. - Boris Kovalerchuk; Hoang Phan (CoRR, 2023)

Monotone Functions and Expert Models for Explanation of Machine Learning Models. - Harlow Huber; Boris Kovalerchuk (IV, 2024)

Multilayer Development and Explanation of Machine Learning Models with Visual Knowledge Discovery. - Lincoln Huber; Boris Kovalerchuk (IV, 2024)

Visual Explanation of Machine Learning Models in Shifted Paired Coordinates in 3D. - Boris Kovalerchuk; Joshua Martinez 002; Michael Fleagle (IV, 2024)

Visual Analysis of Spinels with General Line Coordinates. - Leandro E. Luque; Maria Luján Ganuza; Ernesto A. Bjerg; Boris Kovalerchuk (IV, 2024)

Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates. - Alice Williams; Boris Kovalerchuk (IV, 2024)

Interactive Discovery of Concept Drift with Lossless Visualization in Machine Learning. - Honorius Gâlmeanu; Boris Kovalerchuk; Razvan Andonie (HCI (57), 2025)

Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery. - Alice Williams; Boris Kovalerchuk (HCI (57), 2025)

Fully Explainable Classification Models Using Hyperblocks. - Austin Snyder; Ryan Gallagher; Boris Kovalerchuk (CoRR, 2025)

High-Dimensional Data Classification in Concentric Coordinates. - Alice Williams; Boris Kovalerchuk (CoRR, 2025)