Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Enayat Rajabi"'
A machine learning approach feature to forecast the future performance of the universities in Canada
Publikováno v:
Machine Learning with Applications, Vol 16, Iss , Pp 100548- (2024)
University ranking is a technique of measuring the performance of Higher Education Institutions (HEIs) by evaluating them on various criteria like student satisfaction, expenditure, research and teaching quality, citation count, grants, and enrolment
Externí odkaz:
https://doaj.org/article/32ebed613d4348aabcdd5fab70bc7e86
Publikováno v:
Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract The majority of available datasets in open government data are statistical. They are widely published by various governments to be used by the public and data consumers. However, most open government data portals do not provide the five-star
Externí odkaz:
https://doaj.org/article/468232777d4844ee9789a35bc051a2e0
Autor:
Enayat Rajabi, Somayeh Kafaie
Publikováno v:
Information, Vol 13, Iss 10, p 459 (2022)
Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals. Knowledge graphs can be used in XAI for explainability by struc
Externí odkaz:
https://doaj.org/article/fcedcbf8d2f04527940e4c9ea3ba80c9
Autor:
Enayat Rajabi, Somayeh Kafaie
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Knowledge graphs have proven themselves as a robust tool in clinical applications to aid patient care and help identify treatments for new diseases. They have impacted many information retrieval systems in healthcare. In this study, we construct a di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31bd22d72cb881972d0a1d76047a17cd
https://doi.org/10.3233/shti230243
https://doi.org/10.3233/shti230243
The majority of available datasets in open government dataare statistical. They are widely published by various governments to beused by the public and data consumers. However, most open data por-tals do not provide the five-star Linked Data standard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0df988043b4514557a22a40288752478
https://doi.org/10.21203/rs.3.rs-2174675/v1
https://doi.org/10.21203/rs.3.rs-2174675/v1
Publikováno v:
Tourism and Hospitality Research. 22:60-70
The COVID-19 pandemic is having a significant impact on tourism, and emotion projection is one way to understand the extent of destination image resiliency during the crisis. Therefore, this research captured emotions expressed in social media during
Publikováno v:
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering.
Autor:
Enayat Rajabi, Tressy Thomas
Publikováno v:
Data Technologies and Applications. 55:558-585
PurposeThe primary aim of this study is to review the studies from different dimensions including type of methods, experimentation setup and evaluation metrics used in the novel approaches proposed for data imputation, particularly in the machine lea
Publikováno v:
2022 International Conference on Applied Artificial Intelligence (ICAPAI).
Publikováno v:
Lupus. 31(7)
The heterogeneity in systemic lupus erythematosus research topics poses a challenge for the entire lupus community, from basic geneticists to clinical investigators. As such, it is critical for medical professionals to remain up to date on directions