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Journal Articles
- 2022
[j3]Boqiao Lai
, Sheng Qian, Hanwei Zhang, Siwei Zhang, Anna A. Kozlova, Jubao Duan, Jinbo Xu, Xin He:
Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning. PLoS Comput. Biol. 18(5) (2022)- 2021
- [j2]Elena Zaitseva, Sergey A. Stankevich, Anna A. Kozlova, Iryna Piestova, Vitaly G. Levashenko, Patrik Rusnak:
Assessment of the Risk of Disturbance Impact on Primeval and Managed Forests Based on Earth Observation Data Using the Example of Slovak Eastern Carpathians. IEEE Access 9: 162847-162856 (2021) - 2008
- [j1]Mikhail Popov, Nataliia Kussul, Sergey A. Stankevich, Anna A. Kozlova, Andrii Shelestov, Oleksii M. Kravchenko, Mykhailo B. Korbakov, Serhiy Skakun:
Web service for biodiversity estimation using remote sensing data. Int. J. Digit. Earth 1(4): 367-376 (2008)
Conference and Workshop Papers
- 2024
- [c6]Artem Andreiev, Anna A. Kozlova, Leonid Artiushyn, Peter Sedlacek:
Enhancement of Land Cover Classification by Geospatial Data Cube Optimization. CMIS 2024: 292-304 - 2023
- [c5]Elena Zaitseva, Vitaly G. Levashenko, Anna A. Kozlova, Zhanargul Abuova:
Drone Fleet Reliability Analysis Based on Uncertain Data Using Binary Decision Diagram. ICSRS 2023: 300-305 - [c4]Sergey Stankevich, Anna A. Kozlova, Elena Zaitseva, Vitaly G. Levashenko:
Multivariate risk assessment of land degradation by remotely sensed data. IDT 2023: 45-50 - [c3]Mykhailo O. Popov, Sergey A. Stankevich, Anna A. Kozlova, Iryna Piestova, Anna Khyzhnyak, Elena Zaitseva, Vitaly G. Levashenko, Eugeny Seredinin, Sergii Maltsev, Yuliia Lypska, Alina Kukharuk, Vita Rashchuk, Anhelina Smitiukh:
The Architecture of Land Degradation Early Warning Based on Earth Observation. IDT 2023: 125-132 - 2021
- [c2]Iryna Piestova, Anna A. Kozlova, Artem Andreiev, Jan Rabcan:
Local Quality Improvement of Multispectral Imagery Classification with Radiometric-spatial Feedback. CMIS 2021: 158-168 - [c1]Anna A. Kozlova, Sergey Stankevich, Mykhailo Svideniuk, Artem Andreiev:
Quantitative Assessment of Forest Disturbance with C-Band SAR Data for Decision Making Support in Forest Management. ISDMCI 2021: 548-562
Coauthor Index
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