Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Krisztián Búza"'
Publikováno v:
International Journal of Genomics, Vol 2015 (2015)
Background. Next-generation sequencing technologies are now producing multiple times the genome size in total reads from a single experiment. This is enough information to reconstruct at least some of the differences between the individual genome stu
Externí odkaz:
https://doaj.org/article/78e3fa63cbd04c82ae6ed7397497c1ef
Autor:
Kamil Książek, Przemysław Głomb, Michał Romaszewski, Michał Cholewa, Bartosz Grabowski, Krisztián Búza
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989c0be5906cf56c142c3df779f4f6c1
https://doi.org/10.1007/978-3-031-06427-2_33
https://doi.org/10.1007/978-3-031-06427-2_33
Autor:
Kamil Książek, Przemysław Głomb, Michał Romaszewski, Michał Cholewa, Bartosz Grabowski, Krisztián Búza
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00ecaffec2ed583bc61a9b701583dd78
https://doi.org/10.1007/978-3-031-06427-2_66
https://doi.org/10.1007/978-3-031-06427-2_66
Publikováno v:
IEEE Access, Vol 9, Pp 124396-124408 (2021)
The growing interest in bot detection can be attributed to the fact that fraudulent actions performed by bots cause surprisingly high economical damage. State-of-the-art bots aim at mimicking as many as possible aspects of human behavior, ranging fro
Externí odkaz:
https://doaj.org/article/e6857df127af459a9d7def2db945fbf3
Publikováno v:
IEEE Access, Vol 8, Pp 193380-193395 (2020)
Recently, automatic classification of IT tickets has gained notable attention due to the increasing complexity of IT services deployed in enterprises. There are multiple discussions and no general opinion in the research and practitioners' community
Externí odkaz:
https://doaj.org/article/b13d2d7aacd3406092830fb6fa066c23
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0230726 (2020)
State-of-the-art approaches for the prediction of drug-target interactions (DTI) are based on various techniques, such as matrix factorisation, restricted Boltzmann machines, network-based inference and bipartite local models (BLM). In this paper, we
Externí odkaz:
https://doaj.org/article/e42f9979875c49849256d75aad1a8950
Publikováno v:
Frontiers in Neuroinformatics, Vol 11 (2017)
Machine learning techniques have become increasingly popular in the field of resting state fMRI (functional magnetic resonance imaging) network based classification. However, the application of convolutional networks has been proposed only very recen
Externí odkaz:
https://doaj.org/article/f1a1f330fd644a338a6814b0a37ae4f5