Výsledky vyhledávání - "Hoàng Tuấn Anh"

Akademický článek

Serial Tissue Expansion and Skin Grafts in the Management of a Giant Congenital Nevus of the Face: Review of Literature and Case Report

Autor: Trần Thiết Sơn, Phan Tuấn Nghĩa, Phạm Thị Việt Dung, Tạ Thị Hồng Thuý, Hoàng Tuấn Anh, Lê Anh Huy

Publikováno v: Archives of Plastic Surgery, Vol 51, Iss 03, Pp 290-294 (2024)

Giant congenital nevi, especially on the head and neck, pose a challenge for plastic surgeons. This requires extensive experience in detailed planning, combining different techniques, and selecting appropriate materials for reconstruction. There have

Externí odkaz: https://doaj.org/article/c8e415eab68049b6b8d73b2edb39f8ed

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Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings

Autor: Mai, Phuong Dinh, Le, Duc-Trong, Hoang, Tuan-Anh, Le, Dung D.

In this paper, we tackle the problem of computing a sequence of rankings with the guarantee of the Pareto-optimal balance between (1) maximizing the utility of the consumers and (2) minimizing unfairness between producers of the items. Such a multi-o

Externí odkaz: http://arxiv.org/abs/2402.14305

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On the Feasibility of Predicting Questions being Forgotten in Stack Overflow

Autor: Nguyen, Thi Huyen, Nguyen, Tu, Hoang, Tuan-Anh, Niederée, Claudia

For their attractiveness, comprehensiveness and dynamic coverage of relevant topics, community-based question answering sites such as Stack Overflow heavily rely on the engagement of their communities: Questions on new technologies, technology featur

Externí odkaz: http://arxiv.org/abs/2110.15789

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DeepHate: Hate Speech Detection via Multi-Faceted Text Representations

Autor: Cao, Rui, Lee, Roy Ka-Wei, Hoang, Tuan-Anh

Online hate speech is an important issue that breaks the cohesiveness of online social communities and even raises public safety concerns in our societies. Motivated by this rising issue, researchers have developed many traditional machine learning a

Externí odkaz: http://arxiv.org/abs/2103.11799

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Discovering Hidden Topical Hubs and Authorities in Online Social Networks

Autor: Lee, Roy Ka-Wei, Hoang, Tuan-Anh, Lim, Ee-Peng

Finding influential users in online social networks is an important problem with many possible useful applications. HITS and other link analysis methods, in particular, have been often used to identify hub and authority users in web graphs and online

Externí odkaz: http://arxiv.org/abs/1802.07022

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