Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Erkan YAŞAR"'
Autor:
Abdul Ahad Abro, Abdullah Ayub Khan, Mir Sajjad Hussain Talpur, Idrissa Kayijuka, Erkan Yaşar
Publikováno v:
University of Sindh Journal of Information and Communication Technology, Vol 5, Iss 2, Pp 63-68 (2021)
Machine learning is a prominent and an intensively studied field in the artificial intelligence area which assists to enhance the performance of classification. In this paper, the main idea is to provide the classification and comparative analysis of
Externí odkaz:
https://doaj.org/article/f1b57f245e85486492bcc7dd1948fde1
Autor:
Abdul Ahad ABRO, Waqas Ahmed SIDDIQUE, Mir Sajjad Hussain TALPUR, Awais Khan JUMANİ, Erkan YAŞAR
Publikováno v:
Volume: 7, Issue: 1 25-32
Turkish Journal of Engineering
Turkish Journal of Engineering
The ensemble learning method is considered a meaningful yet challenging task. To enhance the performance of binary classification and predictive analysis, this paper proposes an effective ensemble learning approach by applying multiple models to prod
Autor:
Abdul Ahad ABRO, Mir Sajjad Hussain TALPUR, Awais Khan JUMANİ, Waqas Ahmed SIDDIQUE, Erkan YAŞAR
Publikováno v:
Volume: 18, Issue: 3 257-263
Celal Bayar Üniversitesi Fen Bilimleri Dergisi
Celal Bayar University Journal of Science
Celal Bayar Üniversitesi Fen Bilimleri Dergisi
Celal Bayar University Journal of Science
Machine learning (ML) is a prominent and extensively researched field in the artificial intelligence area which assists to strengthen the accomplishment of classification. In this study, the main idea is to provide the classification and analysis of
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Current approaches to identifying drug-drug interactions (DDIs), include safety studies during drug development and post-marketing surveillance after approval, offer important opportunities to identify potential safety issues, but
Externí odkaz:
https://doaj.org/article/148701da74aa40189c3eb3421e8921c5