Zobrazeno 1 - 10
of 759
pro vyhledávání: '"Kose O"'
Publikováno v:
Malaysian Orthopaedic Journal, Vol 13, Iss 2, Pp 42-44 (2019)
Osteopetrosis (OP) is a rare hereditary sclerosing bone dysplasia characterised by generalised hard and brittle bone secondary to defective osteoclastic function. Osteopetrotic bone is brittle, thus these subjects are prone to frequent fractures, par
Externí odkaz:
https://doaj.org/article/a5105a289aa1441f9d3a4054703e211f
Autor:
Kose, O. Deniz, Shen, Yanning
Machine learning over graphs has recently attracted growing attention due to its ability to analyze and learn complex relations within critical interconnected systems. However, the disparate impact that is amplified by the use of biased graph structu
Externí odkaz:
http://arxiv.org/abs/2402.04383
Graphs are mathematical tools that can be used to represent complex real-world interconnected systems, such as financial markets and social networks. Hence, machine learning (ML) over graphs has attracted significant attention recently. However, it h
Externí odkaz:
http://arxiv.org/abs/2310.14432
Autor:
Kose, O. Deniz, Shen, Yanning
Graphs can facilitate modeling various complex systems such as gene networks and power grids, as well as analyzing the underlying relations within them. Learning over graphs has recently attracted increasing attention, particularly graph neural netwo
Externí odkaz:
http://arxiv.org/abs/2303.14591
Graphs are mathematical tools that can be used to represent complex real-world systems, such as financial markets and social networks. Hence, machine learning (ML) over graphs has attracted significant attention recently. However, it has been demonst
Externí odkaz:
http://arxiv.org/abs/2303.11459
Publikováno v:
Medicine Science, Vol 1, Iss 2, Pp 131-140 (2012)
Osteoid osteoma (OO) is a relatively common benign skeletal neoplasm of unknown etiology that is composed of osteoid and woven bone. Although, the clinical, radiological and scintigraphic features of OO have been well described, these features may be
Externí odkaz:
https://doaj.org/article/56775de1b9954f3f8f74b075af250edd
Autor:
Kose, O. Deniz, Shen, Yanning
Graph neural networks (GNNs) have been demonstrated to achieve state-of-the-art for a number of graph-based learning tasks, which leads to a rise in their employment in various domains. However, it has been shown that GNNs may inherit and even amplif
Externí odkaz:
http://arxiv.org/abs/2205.09977
Autor:
Kose, O. Deniz, Shen, Yanning
Node representation learning has demonstrated its efficacy for various applications on graphs, which leads to increasing attention towards the area. However, fairness is a largely under-explored territory within the field, which may lead to biased re
Externí odkaz:
http://arxiv.org/abs/2201.08549
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