Zobrazeno 1 - 10
of 81
pro vyhledávání: '"statistical natural language processing"'
Autor:
Nikolaos Makris, Nikolaos Mitrou
Publikováno v:
IEEE Access, Vol 11, Pp 120881-120898 (2023)
In this paper, a new method for automatically analyzing and classifying books and book collections according to the subjects they cover is presented. It is based on a combination of the LDA method for discovering latent topics in the collection, on t
Externí odkaz:
https://doaj.org/article/995dd370fd414541b3de041acb61eca2
Autor:
Syed Hussain, Pakkir Mohideen S
Publikováno v:
Measurement: Sensors, Vol 29, Iss , Pp 100863- (2023)
The proposed framework aims to prevent global crimes, specifically terrorist attacks, bomb blasts, and drone attacks, by using the Suspicious Cryptographic Message Detection (SCMD) system to detect and decrypt suspicious messages. Terrorists often us
Externí odkaz:
https://doaj.org/article/610979380a9e403281f4bac75f266148
Autor:
Eleni Giannopoulou, Nikolas Mitrou
Publikováno v:
IEEE Access, Vol 6, Pp 67385-67403 (2018)
This paper aims at bridging the gap between feature selection and feature space size by utilizing both square and non-square self-organizing maps under different configuration scenarios for classifying a multi-class multi-label corpus, the Reuters Mo
Externí odkaz:
https://doaj.org/article/c0ad61009a1e4048a6da04523b50862c
Akademický článek
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Akademický článek
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Publikováno v:
Computers and the Humanities, 2002 Nov 01. 36(4), 381-410.
Externí odkaz:
https://www.jstor.org/stable/30204685
Autor:
Yamada, Kenji
Publikováno v:
Machine Translation, 1998 Jan 01. 13(1), 1-15.
Externí odkaz:
https://www.jstor.org/stable/40006951
Purpose - The purpose of this paper is to further investigate prior work of the authors in text classification in Hypatia, the digital library of the University of Western Attica. The main objective is to provide an accurate automated classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::595fb578932762062e8a3eb08924cb9a
Autor:
Nikolas Mitrou, Eleni Giannopoulou
Publikováno v:
IEEE Access, Vol 6, Pp 67385-67403 (2018)
This paper aims at bridging the gap between feature selection and feature space size by utilizing both square and non-square self-organizing maps under different configuration scenarios for classifying a multi-class multi-label corpus, the Reuters Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb838490680adc86b297fe2f54d16a97
https://doi.org/10.1109/access.2018.2875497
https://doi.org/10.1109/access.2018.2875497
Autor:
Krenn, Brigitte
Publikováno v:
Applied Artificial Intelligence. Nov2000, Vol. 14 Issue 10, p1003-1004. 2p.