Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Fiosina, Jelena"'
Autor:
Fiosina, Jelena1 (AUTHOR) jelena.fiosina@tu-clausthal.de, Sievers, Philipp2 (AUTHOR) philipp.sievers@tu-clausthal.de, Kanagaraj, Gavaskar1 (AUTHOR), Drache, Marco2 (AUTHOR) marco.drache@tu-clausthal.de, Beuermann, Sabine2 (AUTHOR) jelena.fiosina@tu-clausthal.de
Publikováno v:
Polymers (20734360). Apr2024, Vol. 16 Issue 7, p945. 16p.
Publikováno v:
In Computers and Chemical Engineering September 2023 177
Autor:
Kraus, Sarit, Azaria, Amos, Fiosina, Jelena, Greve, Maike, Hazon, Noam, Kolbe, Lutz, Lembcke, Tim-Benjamin, Müller, Jörg P., Schleibaum, Sören, Vollrath, Mark
Explanation is necessary for humans to understand and accept decisions made by an AI system when the system's goal is known. It is even more important when the AI system makes decisions in multi-agent environments where the human does not know the sy
Externí odkaz:
http://arxiv.org/abs/1910.04404
The lack of well-structured metadata annotations complicates there-usability and interpretation of the growing amount of publicly available RNA expression data. The machine learning-based prediction of metadata(data augmentation) can considerably imp
Externí odkaz:
http://arxiv.org/abs/1909.11956
Publikováno v:
Lecture Notes in Computer Science, 11490 (2019)
The lack of well-structured annotations in a growing amount of RNA expression data complicates data interoperability and reusability. Commonly - used text mining methods extract annotations from existing unstructured data descriptions and often provi
Externí odkaz:
http://arxiv.org/abs/1909.11943
Autor:
Koetsier, Christian, Fiosina, Jelena, Gremmel, Jan N., Müller, Jörg P., Woisetschläger, David M., Sester, Monika
Publikováno v:
In ISPRS Open Journal of Photogrammetry and Remote Sensing April 2022 4
Autor:
Fiosina, Jelena
Machine learning (ML) is currently one of the most important research fields, spanning computer science, statistics, pattern recognition, data mining, and predictive analytics. It plays a central role in automatic data processing and analysis in nume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::723ce7bc42e3b8ddb16c309a34507a6d
Akademický článek
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Publikováno v:
Journal of computational biology 27(2), 234-247 (2019). doi:10.1089/cmb.2019.0320
The lack of well-structured metadata annotations complicates the reusability and interpretation of the growing amount of publicly available RNA expression data. The machine learning-based prediction of metadata (data augmentation) can considerably im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10678::6468def90615f9defaa3711dd1654ce9
Autor:
Fiosina, Jelena, Fiosins, Maksims
Publikováno v:
Applied Computational Intelligence & Soft Computing; 3/8/2017, p1-13, 13p