Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Kostiantyn Kucher"'
Autor:
Tina-Simone Neset, Katerina Vrotsou, Lotta Andersson, Carlo Navarra, Fredrik Schück, Magnus Mateo Edström, Caroline Rydholm, Clara Greve Villaro, Kostiantyn Kucher, Björn-Ola Linnér
Publikováno v:
Climate Risk Management, Vol 46, Iss , Pp 100673- (2024)
In October 2021, the Swedish Meteorological and Hydrological Institute (SMHI) launched a novel national system for impact-based weather warnings, moving from the traditional format for meteorological, hydrological, and oceanographic warnings towards
Externí odkaz:
https://doaj.org/article/21c42b6988624554956a960eb92a54c2
Autor:
Katerina Vrotsou, Carlo Navarra, Kostiantyn Kucher, Igor Fedorov, Fredrik Schück, Jonas Unger, Tina-Simone Neset
Publikováno v:
Atmosphere, Vol 14, Iss 7, p 1141 (2023)
Extreme weather events, such as flooding, are expected to increase in frequency and intensity. Therefore, the prediction of extreme weather events, assessment of their local impacts in urban environments, and implementation of adaptation measures are
Externí odkaz:
https://doaj.org/article/0d2539088bd14228b3af4bee4131eaa6
Autor:
Victoria Yantseva, Kostiantyn Kucher
Publikováno v:
Data, Vol 7, Iss 11, p 159 (2022)
In this work, we explore the performance of supervised stance classification methods for social media texts in under-resourced languages and using limited amounts of labeled data. In particular, we focus specifically on the possibilities and limitati
Externí odkaz:
https://doaj.org/article/6a3991fc04604f8f92d8980994440eb4
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187341 (2017)
Data visualization is of increasing importance in the Biosciences. During the past 15 years, a great number of novel methods and tools for the visualization of biological data have been developed and published in various journals and conference proce
Externí odkaz:
https://doaj.org/article/bf203cdacacd4d548b0ec0acc2aadaf6
Publikováno v:
Information Visualization. 21:335-353
Comparing text documents is an essential task for a variety of applications within diverse research fields, and several different methods have been developed for this. However, calculating text similarity is an ambiguous and context-dependent task, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce118ab9aa71b1c89c2b637b914db45
https://doi.org/10.1177/14738716221114372
https://doi.org/10.1177/14738716221114372
Autor:
Rafael Messias Martins, Fernando V. Paulovich, Danilo Barbosa Coimbra, Andreas Kerren, Kostiantyn Kucher, Tacito Trindade de Araujo Tiburtino Neves
Publikováno v:
Computers & Graphics. 102:233-244
Streaming data applications are becoming more common due to the ability of different information sources to continuously capture or produce data, such as sensors and social media. Although there are recent advances, most visualization approaches, par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36664a7fe4df7cf0be99b1037ac94413
https://doi.org/10.1016/j.cag.2021.08.009
https://doi.org/10.1016/j.cag.2021.08.009
Autor:
Kostiantyn Kucher, Andreas Kerren
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07504aa383477fa234b181ce2c8834c4
https://doi.org/10.5220/0011806900003417
https://doi.org/10.5220/0011806900003417
Autor:
Kostiantyn Kucher, Ilir Jusufi, Andreas Kerren, Fabrice Rossi, Rafael Messias Martins, Angelos Chatzimparmpas
Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their black box nature, however, it may sometimes be hard to understand and trust the results they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9aefa7d7d9adebf8d43f6c86d1fa206c
http://arxiv.org/abs/2212.11737
http://arxiv.org/abs/2212.11737
Publikováno v:
Journal of Visualization. 23:1015-1034
Text visualization and visual text analytics methods have been successfully applied for various tasks related to the analysis of individual text documents and large document collections such as summarization of main topics or identification of events
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b02caadde4ca494f536451ea46c9e83d
https://doi.org/10.1007/s12650-020-00684-5
https://doi.org/10.1007/s12650-020-00684-5
Publikováno v:
2021 Swedish Workshop on Data Science (SweDS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68894e4a197442f75ccff7d503e07de0
https://doi.org/10.1109/sweds53855.2021.9638288
https://doi.org/10.1109/sweds53855.2021.9638288