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of 138
pro vyhledávání: '"Torvik Vetle I"'
Graphs have been widely used in the past decades of big data and AI to model comprehensive relational data. When analyzing a graph's statistical properties, graph laws serve as essential tools for parameterizing its structure. Identifying meaningful
Externí odkaz:
http://arxiv.org/abs/2410.12126
Autor:
Xu, Jian, Yu, Chao, Xu, Jiawei, Ding, Ying, Torvik, Vetle I., Kang, Jaewoo, Sung, Mujeen, Song, Min
Papers, patents, and clinical trials are indispensable types of scientific literature in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards
Externí odkaz:
http://arxiv.org/abs/2410.07969
Publikováno v:
International Journal of Digital Curation 2024
Entity resolution (ER) is the process of determining whether two representations refer to the same real-world entity and plays a crucial role in data curation and data cleaning. Recent studies have introduced the KAER framework, aiming to improve pre
Externí odkaz:
http://arxiv.org/abs/2410.00218
Entity resolution has been an essential and well-studied task in data cleaning research for decades. Existing work has discussed the feasibility of utilizing pre-trained language models to perform entity resolution and achieved promising results. How
Externí odkaz:
http://arxiv.org/abs/2301.04770
Autor:
Xu, Jian, Kim, Sunkyu, Song, Min, Jeong, Minbyul, Kim, Donghyeon, Kang, Jaewoo, Rousseau, Justin F., Li, Xin, Xu, Weijia, Torvik, Vetle I., Bu, Yi, Chen, Chongyan, Ebeid, Islam Akef, Li, Daifeng, Ding, Ying
PubMed is an essential resource for the medical domain, but useful concepts are either difficult to extract or are ambiguated, which has significantly hindered knowledge discovery. To address this issue, we constructed a PubMed knowledge graph (PKG)
Externí odkaz:
http://arxiv.org/abs/2005.04308
We analyze nearly 20 million geocoded PubMed articles with author affiliations. Using K-means clustering for the lower 48 US states and mainland China, we find that the average published paper is within a relatively short distance of a few centroids.
Externí odkaz:
http://arxiv.org/abs/1907.05525
Autor:
Torvik Vetle I, Smalheiser Neil R
Publikováno v:
BMC Bioinformatics, Vol 5, Iss 1, p 139 (2004)
Abstract Background MicroRNAs are ~17–24 nt. noncoding RNAs found in all eukaryotes that degrade messenger RNAs via RNA interference (if they bind in a perfect or near-perfect complementarity to the target mRNA), or arrest translation (if the bindi
Externí odkaz:
https://doaj.org/article/7983aa622a4b43f3b3f6692d95d91fed
Akademický článek
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Autor:
Prosperi, Mattia, Buchan, Iain, Fanti, Iuri, Meloni, Sandro, Palladino, Pietro, Torvik, Vetle I.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2016 Aug 01. 113(32), 8957-8962.
Externí odkaz:
https://www.jstor.org/stable/26471332
Autor:
Hsiao, Tzu‐Kun1 tkhsiao2@illinois.edu, Torvik, Vetle I.1
Publikováno v:
Proceedings of the Association for Information Science & Technology. Oct2020, Vol. 57 Issue 1, p1-4. 4p.