Zobrazeno 1 - 10
of 851
pro vyhledávání: '"Mohammed J Zaki"'
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
The network embedding task is to represent a node in a network as a low-dimensional vector while incorporating the topological and structural information. Most existing approaches solve this problem by factorizing a proximity matrix, either directly
Externí odkaz:
https://doaj.org/article/38c58e98138a4281abfcd2505e5c429b
Publikováno v:
IEEE Access, Vol 9, Pp 153266-153275 (2021)
Recently, deep learning models have emerged as promising methods for the diagnosis of different diseases. Cardiac disease is among the leading life-threatening diseases on a global scale. The aim of this paper is to propose an optimized Convolutional
Externí odkaz:
https://doaj.org/article/857cb0a9f97345f3a4a2b3f96dc2ed87
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-30
Domain-specific keyword extraction is a vital task in the field of text mining. There are various research tasks, such as spam e-mail classification, abusive language detection, sentiment analysis, and emotion mining, where a set of domain-specific k
Autor:
Bowen Wang, Zehai Wang, Atharva A Poundarik, Mohammed J Zaki, Richard S Bockman, Benjamin S Glicksberg, Girish N Nadkarni, Deepak Vashishth
Publikováno v:
J Clin Endocrinol Metab
Context Fracture risk is underestimated in people with type 2 diabetes (T2D). Objective To investigate the longitudinal relationship of glycated hemoglobin (HbA1c) and common medications on fracture risk in people with T2D. Methods This retrospective
Publikováno v:
ACM Transactions on Computing for Healthcare. 2:1-43
Although it has become easier for individuals to track their personal health data (e.g., heart rate, step count, and nutrient intake data), there is still a wide chasm between the collection of data and the generation of meaningful summaries to help
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
We propose an extension to the transformer neural network architecture for general-purpose graph learning by adding a dedicated pathway for pairwise structural information, called edge channels. The resultant framework - which we call Edge-augmented
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Journal of Web Semantics. 75:100743
Autor:
Ching-Hua Chen, Daniel Gruen, Jonathan Harris, James Hendler, Deborah L. McGuinness, Marco Monti, Nidhi Rastogi, Oshani Seneviratne, Mohammed J. Zaki
Publikováno v:
Cognitive Informatics in Biomedicine and Healthcare ISBN: 9783031076954
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed72ebea7e2ee27710a220a2cc74479
https://doi.org/10.1007/978-3-031-07696-1_10
https://doi.org/10.1007/978-3-031-07696-1_10
Publikováno v:
ACM Transactions on the Web. 14:1-52
The frequent usage of figurative language on online social networks, especially on Twitter, has the potential to mislead traditional sentiment analysis and recommender systems. Due to the extensive use of slangs, bashes, flames, and non-literal texts