Multiple Regression Method for Analyzing the Tourist Demand Considering the Influence Factors. - Viktor Krylov; Anatoliy Sachenko; Pavlo Strubytskyi; Dmytro Lendiuk; Hrystyna Lipyanina; Diana Zahorodnia; Vitaliy Dorosh; Taras Lendyuk (IDAACS, 2019)

Decision tree based targeting model of customer interaction with business page. - Hrystyna Lipyanina; Anatoliy Sachenko; Taras Lendyuk; Serhiy Nadvynychny; Sergii Grodskyi (CMIS, 2020)

Intelligent Method of Forming the HR Management Short-Term Project. - Hrystyna Lipyanina; Oleg Sachenko; Taras Lendyuk; Anatoliy Sachenko; Nadiia Vasylkiv (CSIT, 2020)

Assessing the Investment Risk of Virtual IT Company Based on Machine Learning. - Hrystyna Lipyanina; Valeriya Maksymovych; Anatoliy Sachenko; Taras Lendyuk; Andrii Fomenko; Ivan Kit (DSMP (Selected Papers), 2020)

Targeting Model of HEI Video Marketing based on Classification Tree. - Hrystyna Lipyanina; Svitlana Sachenko; Taras Lendyuk; Anatoliy Sachenko (ICTERI Workshops, 2020)

Improved Canny's Method for Laser Scribes Contour Selection in Solar Cells. - Ivan Kit; Konrad Grzeszczyk; Diana Zahorodnia; Hrystyna Lipyanina; Vitaliy Dorosh; Pavlo Bykovyy; Volodymyr Kochan; Anatoliy Sachenko (MoMLeT+DS, 2020)

Conceptual Model of IoT-based Laboratory for Study the Electrical Engineering and Electronics. - Oleksandr Osolinskyi; Lubomyr Kolodiychyk; Hrystyna Lipyanina-Goncharenko; Anatoliy Sachenko; Lukasz Kopania; Volodymyr Kochan (CMIS, 2021)

Method of Forming a Training Sample for Segmentation of Tender Organizers on Machine Learning Basis. - Hrystyna Lipyanina-Goncharenko; Vasyl Brych; Svitlana Sachenko; Taras Lendyuk; Pavlo Bykovyy; Diana Zahorodnia (COLINS, 2021)

Classification Method of Fictitious Enterprises Based on Gaussian Naive Bayes. - Andriy Krysovatyy; Hrystyna Lipyanina-Goncharenko; Oksana Desyatnyuk; Svitlana Sachenko; Iryna Lukasevych-Krutnyk; Natalia Butrin-Boka (CSIT (2), 2021)

Intelligent Method of Predicting the Discount Rate Trend. - Viktor Koziuk; Hrystyna Lipyanina-Goncharenko (IDAACS, 2021)

Intelligent Method of a Competitive Product Choosing based on the Emotional Feedbacks Coloring. - Roman Gramyak; Hrystyna Lipyanina-Goncharenko; Anatoliy Sachenko; Taras Lendyuk; Diana Zahorodnia (IntelITSIS, 2021)

Business Process Management of Virtual Enterprise based on Augmented Reality. - Oleg Dulishkovych; Hrystyna Lipyanina; Oleg Sachenko; Taras Lendyuk; Oleksandr Osolinskiy; Ivan Kit (ITPM, 2021)

Economic Crime Detection Using Support Vector Machine Classification. - Andriy Krysovatyy; Hrystyna Lipyanina-Goncharenko; Svitlana Sachenko; Oksana Desyatnyuk (MoMLeT+DS, 2021)

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning. - Khrystyna Lipianina-Honcharenko; Taras Lendiuk; Anatoliy Sachenko; Jacek Woloszyn (CMIS, 2022)

Evaluation the Efficiency of Information Technology of Big Data Intelligence Analysis and Processing. - Myroslav Komar; Oleg Savenko; Anatoliy Sachenko; Taras Lendiuk; Khrystyna Lipianina-Honcharenko; Grygoriy Hladiy; Nadiia Vasylkiv (COLINS, 2022)

Intelligent Method for Forming the Consumer Basket. - Khrystyna Lipianina-Honcharenko; Carsten Wolff; Zoriana Chyzhovska; Anatoliy Sachenko; Taras Lendiuk; Sergii Grodskyi (ICIST, 2022)

Recognizing the Fictitious Business Entity on Logistic Regression Base. - Andriy Krysovatyy; Khrystyna Lipianina-Honcharenko; Svitlana Sachenko; Oksana Desyatnyuk; Arkadiusz Banasik; Iryna Lukasevych-Krutnyk (IntelITSIS, 2022)

Concept of the Intelligent Guide with AR Support. - Khrystyna Lipianina-Honcharenko; Ruslan Savchyshyn; Anatoliy Sachenko; Anastasiia Chaban; Ivan Kit; Taras Lendiuk (Int. J. Comput., 2022)

Intelligent Method for Selecting Business Location in Smart City. - Khrystyna Lipianina-Honcharenko; Anatoliy Sachenko; Vita Semaniuk; Anna Badasian; Lukasz Kopania (IDAACS, 2023)

Use of Digital Auralised 3D Models of Cultural Heritage Sites for Long-term Preservation. - Sophie Schauer; Jürgen Sieck; Khrystyna Lipianina-Honcharenko; Anatoliy Sachenko; Ivan Kit (IDAACS, 2023)

Intelligent Method for Counting Cars from Satellite Images. - Myroslav Komar; Ruslan Savchyshyn; Khrystyna Lipianina-Honcharenko; Oleksandr Osolinskyi (IntSol, 2023)

Optimization Method of Advertising Texts Based on Generative Models. - Khrystyna Lipianina-Honcharenko; Ivan Kit; Diana Zahorodnia; Oleksandr Osolinskyi (ITTAP, 2023)

An Intelligent Method of Prediction the Demand for Goods/Services in Crisis Conditions. - Khrystyna Lipianina-Honcharenko; Yevgeniy V. Bodyanskiy; Anatoliy Sachenko; Ivan Kit; Tetiana Podchasova; Taras Lendiuk (ProfIT AI, 2023)

Intelligent Method for Classifying the Level of Anthropogenic Disasters. - Khrystyna Lipianina-Honcharenko; Carsten Wolff; Anatoliy Sachenko; Ivan Kit; Diana Zahorodnia (Big Data Cogn. Comput., 2023)

Energy Consumption of Methods for Pattern Recognition using Microcontrollers. - Oleksandr Osolinskyi; Khrystyna Lipianina-Honcharenko; Volodymyr Kochan; Anatoliy Sachenko; Diana Zahorodnia (Int. J. Comput., 2023)

Comparison of ResNet, EfficientNet, and Xception architectures for deepfake detection. - Khrystyna Lipianina-Honcharenko; Mykola Telka; Nazar Melnyk (AdvAIT, 2024)

Integrated Approach to the International Aspects of Online Dispute Resolution Formation. - Khrystyna Lipianina-Honcharenko; Nataliia Martsenko; Anastasiia Melnychuk; Khrystyna Yurkiv; Gregory Hladiy; Mykola Telka (AISD, 2024)

Evaluating the Effectiveness of Attention-Gated-CNN-BGRU Models for Historical Manuscript Recognition in Ukraine. - Khrystyna Lipianina-Honcharenko; Volodymyr Yarych; Andrii Ivasechko; Anatoliy Filinyuk; Khrystyna Yurkiv; Tetian Lebid; Mariana Soia (AISD, 2024)

Evaluation of the Effectiveness of Machine Learning Methods for Detecting Disinformation in Ukrainian Text Data. - Khrystyna Lipianina-Honcharenko; Mariana Soia; Khrystyna Yurkiv; Andrii Ivasechko (CMIS, 2024)

Method of Determining the Text Sentiment by Thematic Rubrics. - Anatoliy Sachenko; Taras Lendiuk; Khrystyna Lipianina-Honcharenko; Maciej Dobrowolski; Gena Boguta; Leonid Bytsyura (COLINS (3), 2024)

Deepfake Detection Analysis Based on Video Face Analysis. - Oleh Pitsun; Nazar Melnyk; Khrystyna Lipianina-Honcharenko (CSIT, 2024)

A Cyclical Approach to Legal Document Analysis: Leveraging AI for Strategic Policy Evaluation. - Khrystyna Lipianina-Honcharenko; Nataliia Maika; Svitlana Sachenko; Lukasz Kopania; Mariana Soia (ICyberPhyS, 2024)

Intelligent Advisory Innovative Framework of Enhanced Doctor-Patient Interaction for Healthcare Providers. - Oles Telikhovskyi; Roman Komarnytsky; Vasyl Koval; Khrystyna Lipianina-Honcharenko; Vitaliy Dorosh; Mykola Telka (IDDM, 2024)

Evaluation of The Keyword Selection Methods Effectiveness for the Fake News Classification. - Khrystyna Lipianina-Honcharenko; Dmytro Lendiuk; Nazar Melnyk; Myroslav Komar; Taras Lendiuk (IT&I, 2024)

Regression-based method for real-time solar power plant efficiency forecasting. - Myroslav Komar; Khrystyna Lipianina-Honcharenko; Valentyn Domanskyi; Nazar Melnyk (MoMLeT, 2024)

Evaluation of ensemble machine learning models for movie recommendation systems. - Anatoliy Sachenko; Taras Lendiuk; Khrystyna Lipianina-Honcharenko; Vasyl Koval; Grygoriy Hladiy; Yurii Halias (MoMLeT, 2024)

Modelling Hydroecomonitoring of Surface Water in Ukraine Using Machine Learning. - Leonid Bytsyura; Anatoliy Sachenko; Taras Kapusta; Khrystyna Lipianina-Honcharenko; Ruslan Brukhanskyi (ProfIT AI, 2024)

OLTW-TEC: online learning with sliding windows for text classifier ensembles. - Khrystyna Lipianina-Honcharenko; Yevgeniy V. Bodyanskiy; Nataliia Kustra; Andrii Ivasechko (Frontiers Artif. Intell., 2024)

Rule-based method for aligning media content with Ukrainian legislation. - Khrystyna Lipianina-Honcharenko; Ihor Ihnatiev; Hennadii Bohuta; Khrystyna Yurkiv; Stanislav Novosad (MoMLeT, 2025)