Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zahra Aminoroaya"'
Autor:
Behzad Soleimani Neysiani, Zahra Aminoroaya, Nasim Soltani, Saeed Doostali, Mohammad Shiralizadeh Dezfoli, Majid Khoda Karami
Publikováno v:
Knowledge Modelling and Big Data Analytics in Healthcare ISBN: 9781003142751
Knowledge Modelling and Big Data Analytics in Healthcare
Knowledge Modelling and Big Data Analytics in Healthcare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff765fdfb3dd90c6f0845eaff6c2e94
https://doi.org/10.1201/9781003142751-20
https://doi.org/10.1201/9781003142751-20
Publikováno v:
Research Journal of Applied Sciences. 13:522-531
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7478ca5822d908ecfc00721ce73d7943
https://doi.org/10.36478/rjasci.2018.522.531
https://doi.org/10.36478/rjasci.2018.522.531
Publikováno v:
2021 7th International Conference on Web Research (ICWR).
The recommender system's performance needs to be improved more than ever by increasing computer systems' usage in various applications. Recommender systems are a valuable tool in e-commerce websites. Their primary purpose is to generate accurate fore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2c3c26014432f4539323c826e8949c9
https://doi.org/10.1109/icwr51868.2021.9443146
https://doi.org/10.1109/icwr51868.2021.9443146
Publikováno v:
2020 11th International Conference on Information and Knowledge Technology (IKT).
Duplicate bug report detection (DBRD) is a famous problem in software triage systems like Bugzilla. It is vital to update the internal machine learning (ML) models of DBRD for real-world usage and continuous query of new bug reports. The training pha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93acac931bb4d44a2ddf035772c6136c
https://doi.org/10.1109/ikt51791.2020.9345611
https://doi.org/10.1109/ikt51791.2020.9345611
Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and dee