Results 171 to 180 of about 7,092,434 (358)

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

open access: yesArthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim   +18 more
wiley   +1 more source

Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach

open access: yesIEEE Access
In this study, we primarily address the issue of uneven quality of client embeddings in existing federated learning frameworks for knowledge graph completion.
Hong Zheng, Shanqin Li
doaj   +1 more source

CSKG: The Commonsense Knowledge Graph

open access: yes, 2022
Commonsense reasoning is an important aspect of building robust AI systems and is receiving significant attention in the natural language understanding, computer vision, and knowledge graphs communities. At present, a number of valuable commonsense knowledge sources exist, with different foci, strengths and weaknesses.
openaire   +2 more sources

Global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis burden, 1990–2021

open access: yesArthritis Care &Research, Accepted Article.
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rate for site‐specific OA across 204 countries/territories were obtained from the Global Burden of Diseases Study (GBD) 2021.
Haowei Chen   +14 more
wiley   +1 more source

MGKGR: Multimodal Semantic Fusion for Geographic Knowledge Graph Representation

open access: yesAlgorithms
Geographic knowledge graph representation learning embeds entities and relationships in geographic knowledge graphs into a low-dimensional continuous vector space, which serves as a basic method that bridges geographic knowledge graphs and geographic ...
Jianqiang Zhang   +4 more
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

On Graph Entropy Measures for Knowledge Discovery from Publication Network Data [PDF]

open access: bronze, 2013
Andreas Holzinger   +6 more
openalex   +1 more source

Hyperoxia Induced Alteration of Chromatin Structure in Human Bone Marrow Derived Primary Mesenchymal Stromal Cells

open access: yesAdvanced Biology, EarlyView.
Chromatin, which organizes DNA, changes its structure to adapt to stress like high oxygen levels (hyperoxia), which can damage cells. Researchers developed a technique to observe these changes and found variability in how different parts of chromatin remodel.
Lauren Monroe   +4 more
wiley   +1 more source

A Relation-Specific Entropy-Based Ensemble Approach for Knowledge Graph Embedding

open access: yesIEEE Access
Knowledge Graph Embedding (KGE) aims to represent entities and relationships from knowledge graphs (KGs) in vector spaces. Existing KGE methods often focus narrowly on specific relation patterns or employ ensemble weights based on the prediction scores ...
Hwawoo Jeon, Yoonseob Lim, Yong Suk Choi
doaj   +1 more source

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