Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Nada Almugren"'
Autor:
Nada Almugren, Hala M. Alshamlan
Publikováno v:
IEEE Access, Vol 7, Pp 136907-136913 (2019)
Several hybrid gene selection algorithms for cancer classification that employ bio-inspired evolutionary wrapper algorithm have been proposed in the literature and show good classification accuracy. In our recent previous work, we proposed a new wrap
Externí odkaz:
https://doaj.org/article/f1e3aea89366404b8d64e51cbdf66c88
Autor:
Nada Almugren, Hala Alshamlan
Publikováno v:
IEEE Access, Vol 7, Pp 78533-78548 (2019)
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and
Externí odkaz:
https://doaj.org/article/3bed376fbb634858ba749692a4fab153
Autor:
Hala M. Alshamlan, Nada Almugren
Publikováno v:
IEEE Access, Vol 7, Pp 136907-136913 (2019)
Several hybrid gene selection algorithms for cancer classification that employ bio-inspired evolutionary wrapper algorithm have been proposed in the literature and show good classification accuracy. In our recent previous work, we proposed a new wrap
Autor:
Raghad Alshalan, Nada Almanea, Nafla Alrumayyan, Shahad Alshalan, Dalal Alqusair, Nora Al-Twairesh, Waad Bin Huwaymil, Al-Hanouf Al-Aljmi, Nourah Al-Mutlaq, Suha Al-Senaydi, Nada Almugren, Rawan N. Al-Matham, Abeer Alfutamani, Sumayah Bawazeer, Reem Alotaibi, Shams Al-Manea, Nora Madi
Publikováno v:
ACLING
This paper presents the preliminary results of the construction of a morphologically annotated corpus for the Saudi dialect. We call the corpus SUAR (SaUdi corpus for NLP Applications and Resources). The corpus consists of around 104,079 words collec
Autor:
Hala M. Alshamlan, Nada Almugren
Publikováno v:
CIBCB
Several bio-inspired evolutionary based feature selection algorithms for microarray data classification have been proposed in the literature and show a good performance. In this research we proposed a wrapper feature selection algorithm for classifyi
Autor:
Rabiah Alnashwan, Nada Almugren, Isra Al-Turaiki, Nafla Alrumayyan, Abeer Alfutamani, Omar Almugren
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319787527
Healthcare systems create vast amount of data collected from medical examination. Data mining techniques are widely used in healthcare systems to detect diseases in early stages. In this paper, we applied four data mining techniques to find the relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b7eca67d889b990b7d6e456622fb13f
https://doi.org/10.1007/978-3-319-78753-4_18
https://doi.org/10.1007/978-3-319-78753-4_18
Autor:
Muna A. Muhaureq, Sara Alqubaisi, Nada Almugren, Daniah Albulikhi, Lamya Alrakhes, Hend S. Al-Khalifa, Afnan Alfaadhel
Publikováno v:
iiWAS
This paper describes the design and implementation of a web-based system and web service for decoding and coloring Arabic text. The decoding of Arabic text is done by analyzing and identifying attached affixes (prefixes and suffixes), particle and si