Zobrazeno 1 - 10
of 85
pro vyhledávání: '"language independence"'
Autor:
Georgia Koukiou
Publikováno v:
Applied Sciences, Vol 13, Iss 11, p 6841 (2023)
In biometrics, it is desirable to distinguish a person using only a short sample of his handwriting. This problem is treated in the present work using only a short word with three letters. It is shown that short words can contribute to high-performan
Externí odkaz:
https://doaj.org/article/27467f467c174a48ad57557eb7466970
Autor:
Koukiou, Georgia
Publikováno v:
Applied Sciences; Volume 13; Issue 11; Pages: 6841
In biometrics, it is desirable to distinguish a person using only a short sample of his handwriting. This problem is treated in the present work using only a short word with three letters. It is shown that short words can contribute to high-performan
Autor:
Lisan Sulistiani, Oscar Karnalim
Publikováno v:
Emitter: International Journal of Engineering Technology, Vol 6, Iss 1 (2018)
Nowadays, programming is a promising skill to be learned; the demand of programmer is increased. To align with such trend, several Program Visualization (PV) tools have been developed. Using such tool, user can learn how a particular program works th
Externí odkaz:
https://doaj.org/article/7fdc8f22b078480bb274f38c3b90823f
Autor:
Azzouni, Jody, author
Publikováno v:
Ontology Without Borders, 2017.
Externí odkaz:
https://doi.org/10.1093/oso/9780190622558.003.0010
Autor:
Santos, Diana
Publikováno v:
Machine Translation, 1999 Jan 01. 14(2), 83-112.
Externí odkaz:
https://www.jstor.org/stable/40007075
Autor:
Atakan Erdem
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030801250
Churn metrics are commonly used in software defect prediction due to high performance, language independence and ease of extraction. The main data sources for churn metrics-based prediction models in the literature are the change logs. But changes ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0499a22d3c59a5e280779759eebc9ede
https://doi.org/10.1007/978-3-030-80126-7_21
https://doi.org/10.1007/978-3-030-80126-7_21
Autor:
Johannes Heinecke
Publikováno v:
IWPT 2020
This paper describes our system to predict enhanced dependencies for Universal Dependencies (UD) treebanks, which ranked 2nd in the Shared Task on Enhanced Dependency Parsing with an average ELAS of 82.60%. Our system uses a hybrid two-step approach.
Akademický článek
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Publikováno v:
Pervasive and Mobile Computing. 60:101084
Phishing is a technique in which the attackers trick the online users to reveal the sensitive information by creating the phishing sites which look similar to that of legitimate sites. There exist many techniques to detect phishing sites in desktop c
Publikováno v:
KDIR
In this paper we show how words represented as sequences of syllables can provide valuable patterns for achieving language independent syllabification. We present a novel approach for word syllabification, based on frequent pattern mining, but also a