Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alireza Yousefpour"'
Autor:
Dalia Streimikiene, Melfi Alrasheedi, Seyed Meysam Khoshnava, Alireza Yousefpour, Abbas Mardani, Raheleh Rostami, Rosli Mohamad Zin
Publikováno v:
Sustainable Development. 28:320-342
Publikováno v:
Expert Systems with Applications. 75:80-93
Feature subset selection with the aim of reducing dependency of feature selection techniques and obtaining a high-quality minimal feature subset from a real-world domain is the main task of this research. For this end, firstly, two types of feature r
Autor:
Dalia Štreimikienė, Abbas Mardani, Rosli Mohamad Zin, Seyed Meysam Khoshnava, Wadim Strielkowski, Alireza Yousefpour, Raheleh Rostami
Publikováno v:
Sustainability, Basel : MDPI, 2019, vol. 11, no. 17, art. no . 4615, p. [1-23]
Sustainability
Volume 11
Issue 17
Sustainability, Vol 11, Iss 17, p 4615 (2019)
Sustainability
Volume 11
Issue 17
Sustainability, Vol 11, Iss 17, p 4615 (2019)
Global economic trends have shown the progression of social inequalities and environmental deterioration in the grey economy. New economic practices and policies need to be developed in order to achieve the sustainable development goals (SDGs). A gre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e71ca38c352dfb2ac130a376bdcbd24
https://repository.vu.lt/VU:ELABAPDB40785753&prefLang=en_US
https://repository.vu.lt/VU:ELABAPDB40785753&prefLang=en_US
Autor:
Alireza Yousefpour, Rosli Mohamad Zin, Hesam Kamyab, Abbas Mardani, Muhd Zaimi Abd Majid, Raheleh Rostami, Seyed Meysam Khoshnava
Publikováno v:
Energy. 193:116759
Infrastructure is the backbone of economic growth, which should be resurrected through green competency to rethink the infrastructure strategy and economic prosperity in dealing with local and global issues. There are several linkages such as energy
Autor:
Alireza Yousefpour, Roliana Ibrahim, Haza Nuzly Abdul Hamed, Ummu Hani' Hair Zaki, Khairul Anwar Mohamed Khaidzir
Publikováno v:
2017 IEEE Conference on Big Data and Analytics (ICBDA).
The complexity of an optimal feature subset selection for sentiment classification problem grows exponentially based on the number of features. The paper aims to enhance the selection of feature subset in high-dimensional feature space based on filte
Autor:
Alireza Yousefpour, Narjes Mohammadi
Publikováno v:
Journal of Mathematics and Computer Science. 12:1-11
We purpose the range directional model (RDM), a particular case of the directional distance function, is used for computing efficiency in the presence of negative data. We use RDM efficiency measures to arrive at a Malmquist-type index which can refl
Autor:
Alireza Yousefpour, Z. Ahmadpour
Publikováno v:
Journal of Mathematics and Computer Science. :488-494
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319054759
ACIIDS (1)
ACIIDS (1)
Cross-lingual sentiment classification aims to conduct sentiment classification in a target language using labeled sentiment data in a source language. Most existing research works rely on machine translation to directly project information from one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f35843f8f9be4bd4d888528fbffb6446
https://doi.org/10.1007/978-3-319-05476-6_3
https://doi.org/10.1007/978-3-319-05476-6_3
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783319054575
ACIIDS (2)
ACIIDS (2)
The genesis of the internet and web has created huge information on the web, including users’ digital or textual opinions and reviews. This leads to compiling many features in document-level. Consequently, we will have a high-dimensional feature sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53855d5949f9fd5dd297f85edec0c73
https://doi.org/10.1007/978-3-319-05458-2_4
https://doi.org/10.1007/978-3-319-05458-2_4