Results 91 to 100 of about 8,510,788 (298)

Leveraging Attribute Interaction and Self-Training for Graph Alignment via Optimal Transport

Mathematics
Unsupervised alignment of two attributed graphs finds the node correspondence between them without any known anchor links. The recently proposed optimal transport (OT)-based approaches tackle this problem via Gromov–Wasserstein distance and joint ...
Songyang Chen, Youfang Lin, Ziyuan Zeng, Mengyang Xue   +3 more
doaj   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Self-care readiness index [PDF]

, 2021
Global Self-Care Federation, 2021
core   +1 more source

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Unsupervised Person Re-Identification via Deep Attribute Learning

Future Internet
Driven by growing public security demands and the advancement of intelligent surveillance systems, person re-identification (ReID) has emerged as a prominent research focus in the field of computer vision.
Shun Zhang, Yaohui Xu, Xuebin Zhang, Boyang Cheng, Ke Wang   +4 more
doaj   +1 more source

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

Annual report (Online); Other title: Title from file name: OPOTA annual report; Other title: ... Ohio Peace Officer Training Commission and Academy fiscal year annual report; Other title: Fiscal year annual report

Annual; Report for 2008 covers the calendar year; report for 2009 not published; report for 2010- covers the state fiscal year (July-June)
Ohio Peace Officer Training Commission.
core   +1 more source

Comparing the use of edited and unedited text in parser self-training [PDF]

, 2011
We compare the use of edited text in the form of newswire and unedited text in the form of discussion forum posts as sources for training material in a self-training experiment involving the Brown reranking parser and a test set of sentences from an ...
Foster, Jennifer, Cetinoglu, Ozlem, Wagner, Joachim, van Genabith, Josef   +3 more
core   +2 more sources

Few-Shot Object Detection on Remote Sensing Images Based on Decoupled Training, Contrastive Learning, and Self-Training

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Few-shot object detection (FSOD) in remote sensing imagery faces two critical challenges compared to general methods trained on large datasets, first, only a few labeled instances leveraged as the training set significantly limit the feature ...
Shun Zhang, Xuebin Zhang, Yaohui Xu, Ke Wang   +3 more
doaj   +1 more source

Report of onsite training fish handling onboard fishing vessels [PDF]

, 2022
This report is a part of onsite training on fish handling onboard fishing vessels for fishers, fishery officers, key stakeholders, and students that conducted 1-day training on 8 July 2022 at 09:00–15:00 hrs. at the Prince of Songkhla University, Pattani

core