Zobrazeno 1 - 10
of 4 625
pro vyhledávání: '"Ylli, A."'
Publikováno v:
ALBANOLOGJIA International Journal of Albanology. 9(17-18):71-79
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1064589
Autor:
Chen, Zhaoliang, Wu, Zhihao, Sadikaj, Ylli, Plant, Claudia, Dai, Hong-Ning, Wang, Shiping, Cheung, Yiu-Ming, Guo, Wenzhong
Although Graph Neural Networks (GNNs) have exhibited the powerful ability to gather graph-structured information from neighborhood nodes via various message-passing mechanisms, the performance of GNNs is limited by poor generalization and fragile rob
Externí odkaz:
http://arxiv.org/abs/2403.09171
Publikováno v:
Association for Computing Machinery, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 21, Virtual Event, Singapore, August 2021, Pages 1431-1440
Graph clustering aims at discovering a natural grouping of the nodes such that similar nodes are assigned to a common cluster. Many different algorithms have been proposed in the literature: for simple graphs, for graphs with attributes associated to
Externí odkaz:
http://arxiv.org/abs/2311.01840
Autor:
Boyadzhiev, Andrej
Publikováno v:
Съпоставително езикознание / Сопоставительное языкознание / Contrastive Linguistics. (1):155-158
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1069873
Publikováno v:
International Journal of Biomedicine, Vol 14, Iss 3, Pp 474-477 (2024)
Radiotherapy is the preferred option for early-stage head and neck cancer (HNC), especially in cases where surgery is not feasible or for patients with other co-morbidities. Head and neck radiation therapy is still improving for better management and
Externí odkaz:
https://doaj.org/article/9d0636e201d8481ab611e92beeab80c1
Autor:
Maskey, Sohir, Parviz, Ali, Thiessen, Maximilian, Stärk, Hannes, Sadikaj, Ylli, Maron, Haggai
Graph neural networks (GNNs) are the primary tool for processing graph-structured data. Unfortunately, the most commonly used GNNs, called Message Passing Neural Networks (MPNNs) suffer from several fundamental limitations. To overcome these limitati
Externí odkaz:
http://arxiv.org/abs/2210.15956
Publikováno v:
Zeitschrift für Balkanologie, 2015 Jan 01. 51(1), 147-149.
Externí odkaz:
https://www.jstor.org/stable/10.13173/zeitbalk.51.1.0147
Autor:
Rachel O’Donnell, Olena Tigova, Piotr Teodorowski, Nazmy Villarroel-Williams, Anzhelika Shevchuk, Olena Nesterova, Yuliia Arabska, Alban Ylli, Gentiana Qirjako, Esteve Fernández, Sean Semple
Publikováno v:
Tobacco Induced Diseases, Vol 22, Iss June, Pp 1-5 (2024)
Externí odkaz:
https://doaj.org/article/8ae6a94470a1446289be22f7beeea104
The paper introduces a new dataset to assess the performance of machine learning algorithms in the prediction of the seriousness of injury in a traffic accident. The dataset is created by aggregating publicly available datasets from the UK Department
Externí odkaz:
http://arxiv.org/abs/2205.10441
Autor:
Sulcebe, Genc, Ylli, Alban, Cenko, Fabian, Kurti-Prifti, Margarita, Shyti, Erkena, Dashi-Pasholli, Jonida, Lazri, Erina, Seferi-Qendro, Irena, Perry, Melissa J.
Publikováno v:
In IJID Regions December 2024 13