Proceedings of the ... International World-wide Web Conference
Overview
Proceedings of the ... International World-wide Web Conference is a scientific journal, published by Elsevier since 1994 in English. The journal's country of origin is Netherlands.
Details
Details
Abbr.
Proc Int World Wide Web Conf
Publisher
Elsevier
Start
1994
End
Continuing
Frequency
Annual, 1996-
Country
Netherlands
Language
English
Recent Articles
1.
Lu J, Zhao S, Ma W, Shao H, Hu X, Xi Y, et al.
Proc Int World Wide Web Conf
. 2025 Mar;
2024(Companion):1162-1165.
PMID: 40041765
Patient risk prediction models are crucial as they enable healthcare providers to proactively identify and address potential health risks. Large pre-trained foundation models offer remarkable performance in risk prediction tasks...
2.
Wang X, Asif H, Vaidya J
Proc Int World Wide Web Conf
. 2025 Jan;
2023:2110-2121.
PMID: 39871994
Data from Web artifacts and from the Web is often sensitive and cannot be directly shared for data analysis. Therefore, synthetic data generated from the real data is increasingly used...
3.
Zhang Q, Lee H, Ma J, Lou J, Yang C, Xiong L
Proc Int World Wide Web Conf
. 2024 Dec;
2024:1170-1181.
PMID: 39712034
Graph Neural Networks (GNNs) have achieved great success in learning with graph-structured data. Privacy concerns have also been raised for the trained models which could expose the sensitive information of...
4.
Xie H, Xiong L, Yang C
Proc Int World Wide Web Conf
. 2024 Nov;
2023:556-566.
PMID: 39600887
Federated learning (FL) aims to train powerful and generalized global models without putting distributed data together, which has been shown effective in various domains of machine learning. The non-IIDness of...
5.
Amith M, Cui L, Roberts K, Tao C
Proc Int World Wide Web Conf
. 2024 Feb;
2023(Companion):820-825.
PMID: 38327770
Model card reports provide a transparent description of machine learning models which includes information about their evaluation, limitations, intended use, etc. Federal health agencies have expressed an interest in model...
6.
Cuffy C, French E, Fehrmann S, McInnes B
Proc Int World Wide Web Conf
. 2023 Jul;
2022:823-832.
PMID: 37465200
Since the rise of the COVID-19 pandemic, peer-reviewed biomedical repositories have experienced a surge in chemical and disease related queries. These queries have a wide variety of naming conventions and...
7.
Nguyen V, Yip H, Bajaj G, Wijesiriwardene T, Javangula V, Parthasarathy S, et al.
Proc Int World Wide Web Conf
. 2022 Sep;
2022:1037-1046.
PMID: 36108322
The Unified Medical Language System (UMLS) Metathesaurus construction process mainly relies on lexical algorithms and manual expert curation for integrating over 200 biomedical vocabularies. A lexical-based learning model (LexLM) was...
8.
Nguyen V, Yip H, Bodenreider O
Proc Int World Wide Web Conf
. 2021 Sep;
2021:2672-2683.
PMID: 34514472
With 214 source vocabularies, the construction and maintenance process of the UMLS (Unified Medical Language System) Metathesaurus terminology integration system is costly, time-consuming, and error-prone as it primarily relies on...
9.
Ma J, Zhang Q, Lou J, Xiong L, Ho J
Proc Int World Wide Web Conf
. 2021 Sep;
2021:171-182.
PMID: 34467367
Modern healthcare systems knitted by a web of entities (e.g., hospitals, clinics, pharmacy companies) are collecting a huge volume of healthcare data from a large number of individuals with various...
10.
Zamani M, Schwartz H
Proc Int World Wide Web Conf
. 2021 Jun;
2021:565-574.
PMID: 34151320
Lexical phenomena, such as clusters of words, disseminate through social networks at different rates but most models of diffusion focus on the discrete adoption of new lexical phenomena (i.e. new...