Models and Methods in Creative Computing: Diversity and Type-Variety Principle in Development of Innovation Solutions. - Hanna Yailymova; Hongji Yang; Volodymyr Zaslavskyi (ISPAN-FCST-ISCC, 2017)

Crop monitoring technology based on time series of satellite imagery. - Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Hanna Yailymova; Mykola Lavreniuk; Leonid Shumilo; Yuliia Bilokonska (DESSERT, 2020)

Losses Assessment for Winter Crops Based on Satellite Data and Fuzzy Logic. - Yuliia Bilokonska; Hanna Yailymova; Bohdan Yailymov; Andrii Shelestov; Leonid Shumilo; Mykola Lavreniuk (IDAACS-SWS, 2020)

Satellite Agricultural Monitoring in Ukraine at Country Level: World Bank Project. - Nataliia Kussul; Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Mykola Lavreniuk; Matviy Ilyashenko (IGARSS, 2020)

Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery. - Andrii Shelestov; Mykola Lavreniuk; Vladimir Vasiliev; Leonid Shumilo; Andrii Kolotii; Bohdan Yailymov; Nataliia Kussul; Hanna Yailymova (IEEE Trans. Big Data, 2020)

Intellectual Analysis of Major Crops Area due to Climate Changes in Ukraine. - Mikhail Emelyanov; Hanna Yailymova; Andrii Shelestov; Bohdan Yailymov (EUROCON, 2021)

Ground Based Validation of Copernicus Atmosphere Monitoring Service Data for Kyiv. - Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Oleg Samoilenko; Leonid Shumilo (EUROCON, 2021)

Validation of the Global Human Settlement Layer and NASA Population Data for Ukraine. - Nataliia Kussul; Hanna Yailymova; Sophia Drozd; Andrii Shelestov (IDAACS, 2021)

The Wetland Map Validation for Ukraine. - Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Artem Chyrkov (IDAACS, 2021)

Extension of Copernicus Urban Atlas to Non-European Countries. - Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Leonid Shumilo; Mykola Lavreniuk (IGARSS, 2021)

Air Quality Estimation in Ukraine Using SDG 11.6.2 Indicator Assessment. - Andrii Shelestov; Hanna Yailymova; Bohdan Yailymov; Nataliia Kussul (Remote. Sens., 2021)

Analysis of Cultivated Areas in Ukraine During the War. - Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Hanna Yailymova (DESSERT, 2022)

Detection of War-Damaged Agricultural Fields of Ukraine Based on Vegetation Indices Using Sentinel-2 Data. - Nataliia Kussul; Hanna Yailymova; Sophia Drozd (DESSERT, 2022)

Agriculture Land Appraisal with Use of Remote Sensing and Infrastructure Data. - Nataliia Kussul; Andrii Shelestov; Hanna Yailymova; Leonid Shumilo; Sophia Drozd (IGARSS, 2022)

Fire Danger Assessment Based on the Improved Fire Weather Index. - Nataliia Kussul; Bohdan Yailymov; Andrii Shelestov; Hanna Yailymova (IGARSS, 2022)

Monitoring of Fires Caused by War in Ukraine Based on Satellite Data. - Bohdan Yailymov; Hanna Yailymova; Andrii Shelestov; Leonid Shumilo (DESSERT, 2023)

Geospatial Analysis of Life Quality in Ukrainian Rural Areas. - Hanna Yailymova; Bohdan Yailymov; Nataliia Kussul; Andrii Shelestov (DESSERT, 2023)

Machine Learning Models and Technology for Classification of Forest on Satellite Data. - Yevhenii Salii; Volodymyr Kuzin; Anton Hohol; Nataliia Kussul; Hanna Yailymova (EUROCON, 2023)

Air Quality as Proxy for Assesment of Economic Activity. - Hanna Yailymova; Andrii Kolotii; Nataliia Kussul; Andrii Shelestov (EUROCON, 2023)

Semi-Supervised Forest Type Mapping in Europe on Satellite Data. - Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Hanna Yailymova (IDAACS, 2023)

Geospatial Monitoring of Sustainable and Degraded Agricultural Land. - Hanna Yailymova; Bohdan Yailymov; Nataliia Kussul; Andrii Shelestov; Leonid Shumilo (IGARSS, 2023)

Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning. - Nataliia Kussul; Sofiia Drozd; Hanna Yailymova; Andrii Shelestov; Guido Lemoine; Klaus Deininger (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Flooded Areas' Monitoring Under the Kakhovka Dam Based on Machine Learning and Satellite Data. - Bohdan Yailymov; Hanna Yailymova; Nataliia Kussul; Andrii Shelestov (IGARSS, 2024)

A Multimodal Dataset for Forest Damage Detection and Machine Learning. - Hanna Yailymova; Bohdan Yailymov; Yevhenii Salii; Volodymyr Kuzin; Nataliia Kussul; Andrii Shelestov (IGARSS, 2024)

Semi-Supervised European Forest Types Mapping using High-Fidelity Satellite Data. - Bohdan Yailymov; Hanna Yailymova; Nataliia Kussul; Andrii Shelestov (ProfIT AI, 2024)

Assessment of war-induced agricultural land use changes in Ukraine using machine learning applied to Sentinel satellite data. - Nataliia Kussul; Andrii Shelestov; Bohdan Yailymov; Hanna Yailymova; Guido Lemoine; Klaus Deininger (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Flooded and Irrigation Area Monitoring After the Kakhovka Dam Disaster Based on Machine Learning and Satellite Data. - Bohdan Yailymov; Hanna Yailymova; Andrii Kolotii; Andrii Shelestov; Sergii Skakun; Sheila Baber; Inbal Becker-Reshef; Nataliia Kussul (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)