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Boris Kovalerchuk
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- affiliation: Central Washington University, Ellensburg, WA, USA
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2020 – today
- 2024
- [i19]Joshua Martinez, Boris Kovalerchuk:
General Line Coordinates in 3D. CoRR abs/2403.13014 (2024) - [i18]Alice Williams, Boris Kovalerchuk:
Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinates. CoRR abs/2409.02079 (2024) - 2023
- [c64]Nicholas Cutlip, Boris Kovalerchuk:
Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data. IV 2023: 292-299 - [c63]Boris Kovalerchuk, Brent D. Fegley
:
Principal Components in General Line Coordinates for Visualization and Machine Learning. IV 2023: 300-307 - [c62]Joshua Martinez, Boris Kovalerchuk:
General Line Coordinates in 3D. IV 2023: 308-315 - [c61]Lincoln Huber, Boris Kovalerchuk:
No-Code Platform for Visual Knowledge Discovering in General Line Coordinates: DV 2.0. IV 2023: 316-322 - [e5]Ebad Banissi, Harri Siirtola, Anna Ursyn, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Marco Temperini, Filippo Sciarrone, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Urska Cvek, Marjan Trutschl, Heimo Müller, Rita Francese, Fatma Bouali, Gilles Venturini:
27th International Conference Information Visualisation, IV 2023, Tampere, Finland, July 25-28, 2023. IEEE 2023, ISBN 979-8-3503-4161-4 [contents] - [i17]Lincoln Huber, Boris Kovalerchuk, Charles Recaido:
Visual Knowledge Discovery with General Line Coordinates. CoRR abs/2305.18429 (2023) - [i16]Boris Kovalerchuk, Andrew Dunn, Alex Worland, Sridevi Narayana Wagle:
Interactive Decision Tree Creation and Enhancement with Complete Visualization for Explainable Modeling. CoRR abs/2305.18432 (2023) - [i15]Dustin Hayes, Boris Kovalerchuk:
Parallel Coordinates for Discovery of Interpretable Machine Learning Models. CoRR abs/2305.18434 (2023) - [i14]Boris Kovalerchuk, Elijah McCoy:
Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization. CoRR abs/2305.18437 (2023) - [i13]Boris Kovalerchuk, Hoang Phan:
Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space. CoRR abs/2305.19132 (2023) - 2022
- [c60]Boris Kovalerchuk, Elijah McCoy:
Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery. IV 2022: 314-321 - [c59]Charles Recaido, Boris Kovalerchuk:
Interpretable Machine Learning for Self-Service High-Risk Decision-Making. IV 2022: 322-329 - [c58]Alex Worland, Sridevi Narayana Wagle, Boris Kovalerchuk:
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models. IV 2022: 351-358 - [e4]Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Filippo Sciarrone, Weidong Huang, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Marco Temperini, Urska Cvek, Marjan Trutschl, Heimo Müller, Harri Siirtola, Wai Lok Woo, Rita Francese, Veronica Rossano, Tania Di Mascio, Fatma Bouali, Gilles Venturini, Sebastian Kernbach, Delfina Malandrino, Rocco Zaccagnino, Jian J. Zhang, Xiaosong Yang, Vladimir Geroimenko:
26th International Conference Information Visualisation, IV 2022, Vienna, Austria, July 19-22, 2022. IEEE 2022, ISBN 978-1-6654-9007-8 [contents] - [i12]Boris Kovalerchuk, Razvan Andonie, Nuno Datia
Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions. CoRR abs/2205.01296 (2022) - [i11]Charles Recaido, Boris Kovalerchuk:
Interpretable Machine Learning for Self-Service High-Risk Decision-Making. CoRR abs/2205.04032 (2022) - [i10]Alex Worland, Sridevi Narayana Wagle, Boris Kovalerchuk:
Visualization of Decision Trees based on General Line Coordinates to Support Explainable Models. CoRR abs/2205.04035 (2022) - [i9]Boris Kovalerchuk, Elijah McCoy:
Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery. CoRR abs/2206.06476 (2022) - 2021
- [c57]Boris Kovalerchuk
Discovering Interpretable Machine Learning Models in Parallel Coordinates. IV 2021: 181-188 - [c56]Boris Kovalerchuk
Full interpretable machine learning in 2D with inline coordinates. IV 2021: 189-196 - [e3]Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Mao Lin Huang, Weidong Huang, Quang Vinh Nguyen, Kawa Nazemi, Boris Kovalerchuk, Minoru Nakayama, John Counsell, Andrew Agapiou, Farzad Khosrow-shahi, Hing-Wah Chau, Mengbi Li, Richard Laing, Fatma Bouali, Gilles Venturini, Marco Temperini, Muhammad Sarfraz:
25th International Conference Information Visualisation, IV 2021, Sydney, Australia, July 5-9, 2021. IEEE 2021, ISBN 978-1-6654-3827-8 [contents] - [i8]Boris Kovalerchuk, Dustin Hayes:
Discovering Interpretable Machine Learning Models in Parallel Coordinates. CoRR abs/2106.07474 (2021) - [i7]Boris Kovalerchuk, Hoang Phan:
Full interpretable machine learning in 2D with inline coordinates. CoRR abs/2106.07568 (2021) - [i6]Boris Kovalerchuk, Divya Chandrika Kalla, Bedant Agarwal:
Deep Learning Image Recognition for Non-images. CoRR abs/2106.14350 (2021) - [i5]Sridevi Narayana Wagle, Boris Kovalerchuk:
Self-service Data Classification Using Interactive Visualization and Interpretable Machine Learning. CoRR abs/2107.04971 (2021) - [i4]Rose McDonald, Boris Kovalerchuk:
Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinates. CoRR abs/2107.04974 (2021) - 2020
- [c55]Boris Kovalerchuk
Solving Non-image Learning Problems by Mapping to Images. IV 2020: 264-269 - [c54]Sridevi Narayana Wagle, Boris Kovalerchuk
Interactive Visual Self-service Data Classification Approach to Democratize Machine Learning. IV 2020: 280-285 - [c53]Rose McDonald, Boris Kovalerchuk
Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates. IV 2020: 286-291 - [c52]Boris Kovalerchuk
Intelligible Machine Learning and Knowledge Discovery Boosted by Visual Means. WSDM 2020: 881-883 - [e2]Ebad Banissi, Farzad Khosrow-shahi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, John Counsell, Andrew Agapiou, Zora Vrcelj, Hing-Wah Chau, Mengbi Li, Gehan Nagy, Richard Laing, Rita Francese, Muhammad Sarfraz, Fatma Bouali, Gilles Venturini, Marjan Trutschl, Urska Cvek, Heimo Müller, Minoru Nakayama, Marco Temperini, Tania Di Mascio, Filippo Sciarrone, Veronica Rossano, Ralf Dörner, Loredana Caruccio, Autilia Vitiello, Weidong Huang, Michele Risi, Ugo Erra, Razvan Andonie, Muhammad Aurangzeb Ahmad, Ana Figueiras, Alfredo Cuzzocrea, Mabule Samuel Mabakane:
24th International Conference on Information Visualisation, IV 2020, Melbourne, Australia, September 7-11, 2020. IEEE 2020, ISBN 978-1-7281-9134-8 [contents] - [i3]Boris Kovalerchuk, Muhammad Aurangzeb Ahmad, Ankur Teredesai:
Survey of explainable machine learning with visual and granular methods beyond quasi-explanations. CoRR abs/2009.10221 (2020)
2010 – 2019
- 2019
- [j14]Boris Kovalerchuk
Adjustable general line coordinates for visual knowledge discovery in n-D data. Inf. Vis. 18(1) (2019) - [c51]Boris Kovalerchuk
Interpretable Knowledge Discovery Reinforced by Visual Methods. KDD 2019: 3219-3220 - 2018
- [b1]Boris Kovalerchuk
Visual Knowledge Discovery and Machine Learning. Intelligent Systems Reference Library 144, Springer 2018, ISBN 978-3-319-73039-4, pp. 1-317 - [c50]Boris Kovalerchuk
Toward Efficient Automation of Interpretable Machine Learning. IEEE BigData 2018: 4940-4947 - [c49]Boris Kovalerchuk
Reversible Data Visualization to Support Machine Learning. HCI (4) 2018: 45-59 - [c48]Boris Kovalerchuk, Abdulrahman Gharawi:
Decreasing Occlusion and Increasing Explanation in Interactive Visual Knowledge Discovery. HCI (4) 2018: 505-526 - 2017
- [j13]Antoni Wilinski
Visual knowledge discovery and machine learning for investment strategy. Cogn. Syst. Res. 44: 100-114 (2017) - [j12]Boris Kovalerchuk
Visual cognitive algorithms for high-dimensional data and super-intelligence challenges. Cogn. Syst. Res. 45: 95-108 (2017) - [j11]Boris Kovalerchuk
Constructing Interactive Visual Classification, Clustering and Dimension Reduction Models for n-D Data. Informatics 4(3): 23 (2017) - [c47]Andrew Smigaj, Boris Kovalerchuk
Visualizing Incongruity and Resolution: Visual Data Mining Strategies for Modeling Sequential Humor Containing Shifts of Interpretation. HCI (21) 2017: 660-674 - [c46]Boris Kovalerchuk
Toward virtual data scientist with visual means. IJCNN 2017: 3073-3080 - 2016
- [c45]Boris Kovalerchuk
Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches. FUZZ-IEEE 2016: 1478-1483 - [c44]Boris Kovalerchuk
Super-intelligence challenges and lossless visual representation of high-dimensional data. IJCNN 2016: 1803-1810 - [c43]Boris Kovalerchuk
Visual Data Mining in Closed Contour Coordinates. Visualization and Data Analysis 2016: 1-10 - [p3]Boris Kovalerchuk
Sensor Resource Management: Intelligent Multi-objective Modularized Optimization Methodology and Models. Recent Advances in Computational Intelligence in Defense and Security 2016: 695-726 - 2015
- [c42]Boris Kovalerchuk
Rigorous sensor resource management: Methodology and evolutionary optimization. CISDA 2015: 1-8 - [c41]Boris Kovalerchuk
Summation of linguistic numbers. NAFIPS/WConSC 2015: 1-6 - [c40]Boris Kovalerchuk
Computing with words beyond quantitative words: Incongruity modeling. NAFIPS/WConSC 2015: 1-6 - 2014
- [c39]Boris Kovalerchuk
Collaborative Lossless Visualization of n-D Data by Collocated Paired Coordinates. CDVE 2014: 19-26 - [c38]Vladimir Grishin, Boris Kovalerchuk
Multidimensional Collaborative Lossless Visualization: Experimental Study. CDVE 2014: 27-35 - [c37]Boris Kovalerchuk
Probabilistic Solution of Zadeh's Test Problems. IPMU (2) 2014: 536-545 - [c36]Vladimir Grishin, Boris Kovalerchuk
Stars advantages vs parallel coordinates: shape perception as visualization reserve. Visualization and Data Analysis 2014: 90170Q - [c35]Boris Kovalerchuk
Visualization of multidimensional data with collocated paired coordinates and general line coordinates. Visualization and Data Analysis 2014: 90170I - 2013
- [c34]Boris Kovalerchuk
Quest for Rigorous Combining Probabilistic and Fuzzy Logic Approaches for Computing with Words. On Fuzziness (1) 2013: 325-336 - [c33]Boris Kovalerchuk
Quest for rigorous intelligent tutoring systems under uncertainty: Computing with Words and Images. IFSA/NAFIPS 2013: 685-690 - 2012
- [j10]Boris Kovalerchuk
Modelling phenomena and dynamic logic of phenomena. J. Appl. Non Class. Logics 22(1-2): 53-82 (2012) - 2011
- [j9]Boris A. Galitsky
Assessing plausibility of explanation and meta-explanation in inter-human conflicts. Eng. Appl. Artif. Intell. 24(8): 1472-1486 (2011) - [j8]Boris A. Galitsky
Discovering common outcomes of agents' communicative actions in various domains. Knowl. Based Syst. 24(2): 210-229 (2011) - [c32]Boris Kovalerchuk
Integration of geometric and topological uncertainties for geospatial Data Fusion and Mining. AIPR 2011: 1-8 - [c31]Boris Kovalerchuk
Uncertainty modeling for spatial data fusion and mining. CCMB 2011: 35-42 - [i2]Evgenii Vityaev, Boris Kovalerchuk, Leonid I. Perlovsky, Stanislav Smerdov:
Probabilistic Dynamic Logic of Phenomena and Cognition. CoRR abs/1101.0082 (2011) - 2010
- [c30]Boris A. Galitsky, Josep Lluís de la Rosa, Boris Kovalerchuk:
Explanation Versus Meta-Explanation: What Makes a Case More Convincing. FLAIRS 2010 - [c29]Boris Kovalerchuk
Interpretable Fuzzy Systems: Analysis of T-norm interpretability. FUZZ-IEEE 2010: 1-8 - [c28]Boris Kovalerchuk
Agent-based uncertainty logic network. FUZZ-IEEE 2010: 1-8 - [c27]Evgenii Vityaev
Probabilistic Dynamic Logic of Phenomena and Cognition. IJCNN 2010: 1-6 - [c26]Boris Kovalerchuk
Visual discovery in multivariate binary data. VDA 2010: 75300 - [p2]Boris Kovalerchuk, Evgenii Vityaev:
Data Mining for Financial Applications. Data Mining and Knowledge Discovery Handbook 2010: 1153-1169
2000 – 2009
- 2009
- [j7]Germano Resconi, Boris Kovalerchuk
Agents' model of uncertainty. Knowl. Inf. Syst. 18(2): 213-229 (2009) - [c25]Boris Kovalerchuk:
Modeling ATR processes to predict their performance by using invariance, robustness and self-refusal approach. FUSION 2009: 1139-1146 - [c24]Boris Kovalerchuk
Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. IJCNN 2009: 1660-1667 - [c23]Germano Resconi, Boris Kovalerchuk
Agents in neural uncertainty. IJCNN 2009: 2649-2656 - 2008
- [j6]Boris Kovalerchuk, Evgenii Vityaev:
Symbolic methodology for numeric data mining. Intell. Data Anal. 12(2): 165-188 (2008) - [j5]Evgenii E. Vityaev, Boris Kovalerchuk:
Relational methodology for data mining and knowledge discovery. Intell. Data Anal. 12(2): 189-210 (2008) - [c22]Boris Kovalerchuk
Dynamic logic of phenomena and cognition. IJCNN 2008: 3530-3537 - [c21]Germano Resconi, Boris Kovalerchuk
Fusion in agent-based uncertainty theory and neural image of uncertainty. IJCNN 2008: 3538-3544 - 2007
- [c20]Boris A. Galitsky, Boris Kovalerchuk:
Learning Interaction between Conflicting Human Agents and Their Assistants. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 41-42 - [c19]Peter Doucette, Boris Kovalerchuk
A Methodology for Automated Vector-to-Image Registration. AIPR 2007: 9-14 - [c18]Germano Resconi, Boris Kovalerchuk
Explanatory Model for the Break of Logic Equivalence by Irrational Agents in Elkan's Paradox. EUROCAST 2007: 26-33 - [c17]Boris A. Galitsky
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs. ICCS 2007: 387-400 - [c16]Boris A. Galitsky, Boris Kovalerchuk:
Learning Interaction between Conflicting Human Agents and Their Assistants. Interaction Challenges for Intelligent Assistants 2007: 41-42 - [c15]Germano Resconi, Boris Kovalerchuk:
Hierarchy of Logics of Irrational and Conflicting Agents. KES-AMSTA 2007: 179-188 - [c14]Boris Kovalerchuk
Visual Data Mining and Discovery in Multivariate Data Using Monotone n-D Structure. KONT/KPP 2007: 297-313 - [c13]Boris Kovalerchuk
An algorithm to stabilize a sequence of thermal brain images. Medical Imaging: Image Processing 2007: 65121O - 2006
- [c12]Boris A. Galitsky, Boris Kovalerchuk:
Mining the Blogosphere for Contributors' Sentiments. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 37-39 - [c11]Boris A. Galitsky
Mining emotional profiles using e-mail messages for earlier warnings of potential terrorist activities. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006: 62410G - [c10]Boris A. Galitsky, Boris Kovalerchuk:
Mining the attitudes of conflicting human agents. Computational Intelligence 2006: 31-36 - [c9]Boris Kovalerchuk
The Logic of Uncertainty with Irrational Agents. JCIS 2006 - [e1]Boris Kovalerchuk:
Proceedings of the Second IASTED International Conference on Computational Intelligence, San Francisco, California, USA, November 20-22, 2006. IASTED/ACTA Press 2006, ISBN 0-88986-603-1 [contents] - 2005
- [c8]Evgenii Vityaev
Relational Methodology for Data Mining and Knowledge Discovery. DEXA Workshops 2005: 725-729 - [p1]Boris Kovalerchuk, Evgenii Vityaev:
Data Mining for Financial Applications. The Data Mining and Knowledge Discovery Handbook 2005: 1203-1224 - 2004
- [j4]Evgenii E. Vityaev
Discovery of Empirical Theories Based on the Measurement Theory. Minds Mach. 14(4): 551-573 (2004) - [c7]Razvan Andonie, Boris Kovalerchuk:
Neural networks for data mining: constrains and open problems. ESANN 2004: 449-458 - 2003
- [c6]Boris Kovalerchuk, William Sumner, James L. Schwing:
Image Registration and Conflation Based on Structural Characteristics. CISST 2003: 239-245 - [c5]Richard Chase, Boris Kovalerchuk:
Computational Efficiency of Structural Image Matching. CISST 2003: 253-259 - [c4]Boris Kovalerchuk, Artemus Harper, Michael Kovalerchuk:
Virtual Experts for Imagery Registration and Conflation. CISST 2003: 260-266 - [c3]Florian Delizy, Boris Kovalerchuk:
Visual Data Mining Using Monotone Boolean Function. CISST 2003: 267-276 - [c2]Boris Kovalerchuk
Detecting Patterns of Fraudulent Behavior in Forensic Accounting. KES 2003: 502-509 - 2002
- [i1]Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov:
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications. CoRR cs.CE/0208022 (2002) - 2001
- [c1]Yuri L. Orlov, Evgenii E. Vityaev, Oleg V. Vishnevsky, A. S. Belenok, Boris Kovalerchuk, Mikhail A. Pozdnyakov, Nikolay A. Kolchanov:
Program "Gene Discovery" for Pattern Matching in Promoter Sequences. German Conference on Bioinformatics 2001: 215-217 - 2000
- [j3]Boris Kovalerchuk
The Reliability Issue of Computer-Aided Breast Cancer Diagnosis. Comput. Biomed. Res. 33(4): 296-313 (2000)
1990 – 1999
- 1997
- [j2]Boris Kovalerchuk
Fuzzy logic in computer-aided breast cancer diagnosis: analysis of lobulation. Artif. Intell. Medicine 11(1): 75-85 (1997) - 1996
- [j1]Boris Kovalerchuk, Evangelos Triantaphyllou
Interactive Learning of Monotone Boolean Functions. Inf. Sci. 94(1-4): 87-118 (1996)
Coauthor Index
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last updated on 2024-10-07 02:37 CEST by the dblp team
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