| 2026 | HCI | Lossless Visual Analysis of Multidimensional Data in Collocated Paired Coordinates for Machine Learning. | Boris Kovalerchuk, Alice Williams |
| 2025 | HCI | Interactive Discovery of Concept Drift with Lossless Visualization in Machine Learning. | Honorius Glmeanu, Boris Kovalerchuk, Razvan Andonie |
| 2025 | HCI | Boosting of Classification Models with Human-in-the-Loop Computational Visual Knowledge Discovery. | Alice Williams, Boris Kovalerchuk |
| 2025 | IV | Interpretable Visual Representation Learning with Animated Glyphs in Shifted Paired Coordinates. | Nicholas Cutlip, Boris Kovalerchuk |
| 2025 | IV | Fully Explainable Classification Models Using Hyperblocks. | Austin Snyder, Ryan Gallagher, Boris Kovalerchuk |
| 2025 | IV | High-Dimensional Data Classification in Concentric Coordinates. | Alice Williams, Boris Kovalerchuk |
| 2024 | IV | Monotone Functions and Expert Models for Explanation of Machine Learning Models. | Harlow Huber, Boris Kovalerchuk |
| 2024 | IV | Multilayer Development and Explanation of Machine Learning Models with Visual Knowledge Discovery. | Lincoln Huber, Boris Kovalerchuk |
| 2024 | IV | Visual Explanation of Machine Learning Models in Shifted Paired Coordinates in 3D. | Boris Kovalerchuk, Joshua Martinez, Michael Fleagle |
| 2024 | IV | Visual Analysis of Spinels with General Line Coordinates. | Leandro E. Luque, Maria Lujn Ganuza, Ernesto A. Bjerg, Boris Kovalerchuk |
| 2024 | IV | Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates. | Alice Williams, Boris Kovalerchuk |
| 2023 | IV | Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data. | Nicholas Cutlip, Boris Kovalerchuk |
| 2023 | IV | No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0. | Lincoln Huber, Boris Kovalerchuk |
| 2023 | IV | Principal Components in General Line Coordinates for Visualization and Machine Learning. | Boris Kovalerchuk, Brent D. Fegley |
| 2023 | IV | General Line Coordinates in 3D. | Joshua Martinez, Boris Kovalerchuk |
| 2022 | IV | Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery. | Boris Kovalerchuk, Elijah McCoy |
| 2022 | IV | Interpretable Machine Learning for Self-Service High-Risk Decision-Making. | Charles Recaido, Boris Kovalerchuk |
| 2022 | IV | Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models. | Alex Worland, Sridevi Narayana Wagle, Boris Kovalerchuk |
| 2021 | IV | Discovering Interpretable Machine Learning Models in Parallel Coordinates. | Boris Kovalerchuk, Dustin Hayes |
| 2021 | IV | Full interpretable machine learning in 2D with inline coordinates. | Boris Kovalerchuk, Hoang Phan |
| 2020 | IV | Solving Non-image Learning Problems by Mapping to Images. | Boris Kovalerchuk, Bedant Agarwal, Divya Chandrika Kalla |
| 2020 | IV | Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates. | Rose McDonald, Boris Kovalerchuk |
| 2020 | IV | Interactive Visual Self-service Data Classification Approach to Democratize Machine Learning. | Sridevi Narayana Wagle, Boris Kovalerchuk |
| 2020 | WSDM | Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means. | Boris Kovalerchuk |
| 2019 | KDD | Interpretable Knowledge Discovery Reinforced by Visual Methods. | Boris Kovalerchuk |
| 2018 | HCI | Reversible Data Visualization to Support Machine Learning. | Boris Kovalerchuk, Vladimir Grishin |
| 2018 | HCI | Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery. | Boris Kovalerchuk, Abdulrahman Gharawi |
| 2017 | HCI | Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation. | Andrew Smigaj, Boris Kovalerchuk |
| 2017 | IJCNN | Toward virtual data scientist with visual means. | Boris Kovalerchuk, Michael Kovalerchuk |
| 2016 | IJCNN | Super-intelligence challenges and lossless visual representation of high-dimensional data. | Boris Kovalerchuk |
| 2016 | VDA | Visual Data Mining in Closed Contour Coordinates. | Boris Kovalerchuk, Vladimir Grishin |
| 2014 | CDVE | Multidimensional Collaborative Lossless Visualization: Experimental Study. | Vladimir Grishin, Boris Kovalerchuk |
| 2014 | CDVE | Collaborative Lossless Visualization of n-D Data by Collocated Paired Coordinates. | Boris Kovalerchuk, Vladimir Grishin |
| 2014 | IPMU | Probabilistic Solution of Zadeh's Test Problems. | Boris Kovalerchuk |
| 2014 | VDA | Stars advantages vs parallel coordinates: shape perception as visualization reserve. | Vladimir Grishin, Boris Kovalerchuk |
| 2014 | VDA | Visualization of multidimensional data with collocated paired coordinates and general line coordinates. | Boris Kovalerchuk |
| 2013 | IFSA | Quest for rigorous intelligent tutoring systems under uncertainty: Computing with Words and Images. | Boris Kovalerchuk |
| 2010 | FlAIRS | Explanation Versus Meta-Explanation: What Makes a Case More Convincing. | Boris A. Galitsky, Josep Llus de la Rosa, Boris Kovalerchuk |
| 2010 | IJCNN | Probabilistic Dynamic Logic of Phenomena and Cognition. | Evgenii Vityaev, Boris Kovalerchuk, Leonid I. Perlovsky, Stanislav Smerdov |
| 2010 | VDA | Visual discovery in multivariate binary data. | Boris Kovalerchuk, Florian Delizy, Logan Riggs, Evgenii Vityaev |
| 2009 | FUSION | Modeling ATR processes to predict their performance by using invariance, robustness and self-refusal approach. | Boris Kovalerchuk |
| 2009 | IJCNN | Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. | Boris Kovalerchuk, Leonid I. Perlovsky |
| 2009 | IJCNN | Agents in neural uncertainty. | Germano Resconi, Boris Kovalerchuk |
| 2008 | IJCNN | Dynamic logic of phenomena and cognition. | Boris Kovalerchuk, Leonid I. Perlovsky |
| 2008 | IJCNN | Fusion in agent-based uncertainty theory and neural image of uncertainty. | Germano Resconi, Boris Kovalerchuk |
| 2007 | ICCS | Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs. | Boris A. Galitsky, Boris Kovalerchuk, Sergei O. Kuznetsov |
| 2004 | ESANN | Neural networks for data mining: constrains and open problems. | Razvan Andonie, Boris Kovalerchuk |
| 2003 | KES | Detecting Patterns of Fraudulent Behavior in Forensic Accounting. | Boris Kovalerchuk, Evgenii Vityaev |