Характеристика для вибору моделей у ансамблі класифікаторів Characteristics for choice of models in the ansables classification. - Olexander Barmak; Yuri Krak; Eduard Manziuk (UkrPROG, 2018)

Using piecewise hyper linear classification in multidimensional feature space for text content. - Olexander Barmak; Eduard Manziuk; Iurii Krak (CSIT (2), 2019)

Data Classification Based on the Features Reduction and Piecewise Linear Separation. - Iurii Krak; Olexander Barmak; Eduard Manziuk; Anatolii Kulias (ICO, 2019)

Approach to Piecewise-Linear Classification in a Multi-dimensional Space of Features Based on Plane Visualization. - Iurii Krak; Olexander Barmak; Eduard Manziuk; Hrygorii Kudin (ISDMCI, 2019)

Classification Based Hierarchical Clustering Prediction Variability in the Ensembles of Models Using a Statistical Approach. - Olexander Barmak; Eduard Manziuk; Iurii Krak (CSIT (1), 2020)

Diversity as The Basis for Effective Clustering-Based Classification. - Olexander Barmak; Iurii Krak; Eduard Manziuk (ICST, 2020)

Classification Technology Based on Hyperplanes for Visual Analytics with Implementations for Different Subject Areas. - Olexander Barmak; Iurii Krak; Eduard Manziuk; Volodymyr Lytvynenko; Oleg Kalyta (IntelITSIS, 2020)

Model of the Facial Emotions Expressions Based on Grouping Classes of Feature Vectors. - Olexander Barmak; Oleg Kalyta; Iurii Krak; Eduard Manziuk; Vladyslav A. Kuznetsov (ISDMCI, 2020)

Розпізнавання емоційних проявів за групуванням скупченостей характерних мімічних станів обличчя людини - Recognition of Emotional Expressions Using the Grouping Crowdings of Characteristic Mimic States. - Olexander Barmak; Eduard Manziuk; Oleg Kalyta; Iurii Krak; Vladislav A. Kuznetsov; Anatoliy Kulias (UkrPROG, 2020)

On Classification Hidden Concepts Language in Specialized Texts Based on Methods of the Intellectual Data Processing. - Iurii Krak; Valentina Petrovych; Vladislav A. Kuznetsov; Eduard Manziuk; Olexander Barmak; Anatoliy Kulias (CMIS, 2021)

Formal Model of Trustworthy Artificial Intelligence Based on Standardization. - Eduard Manziuk; Olexander Barmak; Iurii Krak; Olexander Mazurets; Tetiana Skrypnyk (IntelITSIS, 2021)

On Development Classification Methods for Hidden Features Separation in Data. - Valentina Petrovych; Vladislav A. Kuznetsov; Eduard Manziuk; Iurii Krak; Veda Kasianiuk; Olexander Barmak; Anatoliy Kulias (IntSol, 2021)

Method for Adaptive Semantic Testing of Educational Materials Level of Knowledge. - Olexander Mazurets; Olexander Barmak; Iurii Krak; Eduard Manziuk; Ruslan Bahrii (ISDMCI, 2021)

Structural Alignment Method of Conceptual Categories of Ontology and Formalized Domain. - Eduard Manziuk; Iurii Krak; Olexander Barmak; Olexander Mazurets; Vladislav A. Kuznetsov; Olexander Pylypiak (ProfIT AI, 2021)

Human-in-the-Loop Approach Based on MRI and ECG for Healthcare Diagnosis. - Pavlo Radiuk; Oleksii Kovalchuk; Vitalii Slobodzian; Eduard Manziuk; Oleksander Barmak; Iurii Krak (IDDM, 2022)

Using visual analytics to develop human and machine-centric models: A review of approaches and proposed information technology. - Iurii Krak; Olexander Barmak; Eduard Manziuk (Comput. Intell., 2022)

Enhancing medical NLI with integrated domain knowledge and sentiment analysis. - Oleksandr Chaban; Eduard Manziuk (ICST, 2024)

Method for neural network detecting propaganda techniques by markers with visual analytic. - Iurii Krak; Olha Zalutska; Maryna Molchanova; Olexander Mazurets; Eduard Manziuk; Olexander Barmak (ICST, 2024)

Modeling Environment Intelligent Transport System for Eco-Friendly Urban Mobility. - Vitaliy Pavlyshyn; Eduard Manziuk; Olexander Barmak; Iurii Krak; Robertas Damasevicius (IntelITSIS, 2024)

An Approach to Optimizing CO2 Emissions in Traffic Control via Reinforcement Learning. - Olexander Ryzhanskyi; Eduard Manziuk; Olexander Barmak; Iurii Krak; Nebojsa Bacanin (IntelITSIS, 2024)

Explainable Deep Learning for Interpretable Brain Tumor Diagnosis from MRI Images. - Eduard Manziuk; Olexander Barmak; Iurii Krak; Nataliia Petliak; Zhenzhen Jin; Pavlo Radiuk (ISDMCI (1), 2024)

Representation of Trustworthiness Components in AI Systems: A Formalized Approach Considering Interconnections and Overlap. - Eduard Manziuk; Oleksander Barmak; Pavlo Radiuk; Vladislav A. Kuznetsov; Iurii Krak (ProfIT AI, 2024)

Explainable Artificial Intelligence: Transitioning DL Model Decisions to User-Understandable Features in Healthcare. - Pavlo Radiuk; Oleksander Barmak; Eduard Manziuk; Iurii Krak (ProfIT AI, 2024)

Integration of Contextual Descriptors in Ontology Alignment for Enrichment of Semantic Correspondence. - Eduard Manziuk; Oleksander Barmak; Pavlo Radiuk; Vladislav A. Kuznetsov; Iurii Krak; Sergiy Yakovlev (CoRR, 2024)

Toward explainable deep learning in healthcare through transition matrix and user-friendly features. - Oleksander Barmak; Iurii Krak; Sergiy Yakovlev; Eduard Manziuk; Pavlo Radiuk; Vladislav A. Kuznetsov (Frontiers Artif. Intell., 2024)

EMTKD at the edge: An adaptive multi-teacher knowledge distillation for robust cardiac MRI classification. - Oleksandr Chaban; Eduard Manziuk; Olena Markevych; Sergi Petrovskyi; Pavlo Radiuk (doors, 2025)