Results 181 to 190 of about 7,006,651 (299)

EM-Gaze: eye context correlation and metric learning for gaze estimation. [PDF]

Vis Comput Ind Biomed Art, 2023
Zhou J, Li G, Shi F, Guo X, Wan P, Wang M.   +5 more
europepmc   +1 more source

Subjective Cognitive Concerns and Cognitive Trajectories in Parkinson's Disease: Biomarker Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the relationship of subjective cognitive concerns (SCC) with biomarkers of Alzheimer's disease (AD), neurodegeneration, and Parkinson's disease (PD) and domain‐specific cognitive trajectories among cognitively unimpaired persons with de novo PD. Method Cognitively unimpaired participants with SCC (n = 294) and without SCC (
Francesca V. Lopez, Fareshte Erani, Katherine J. Bangen, David G. Coughlin, Douglas Galasko, Kelsey R. Thomas   +5 more
wiley   +1 more source

MeLSI: Metric Learning for Statistical Inference in microbiome community composition analysis. [PDF]

mSystems
Bresette N, Ericsson AC, Woods C, Lin A-L.   +3 more
europepmc   +1 more source

Aurora Image Classification with Deep Metric Learning. [PDF]

Sensors (Basel), 2022
Endo T, Matsumoto M.
europepmc   +1 more source

Cerebrospinal Fluid Over Plasma Links Analytes to Cognitive Decline in Older Adults at Risk for Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify inflammatory analytes in cerebrospinal fluid (CSF) and plasma associated with cognitive decline in cognitively normal (CN) older adults at risk for Alzheimer's disease (AD). Methods In a longitudinal study of 118 CN older adults (65–80 years, 54% APOE ε4, 26% preclinical AD), 1331 CSF and 1501 plasma analytes were ...
Jagan A. Pillai, Audrey Zhu, Chunxuan Ma, Ming Wang, Yifan Yang, Lynn M. Bekris, Maria Khrestian, Frank P. DiFilippo, Mikhail Nasrallah, Aaron Burberry, James B. Leverenz, Yuan Hou, Feixiong Cheng, Stephen M. Rao   +13 more
wiley   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi-Scale Information and Metric Learning Framework for scDNAm Data. [PDF]

Adv Sci (Weinh)
Jia Y, Li S, Tang S, Gu K, Chen S.
europepmc   +1 more source

Detecting change points in neural population activity with contrastive metric learning. [PDF]

Int IEEE EMBS Conf Neural Eng, 2023
Urzay C, Ahad N, Azabou M, Schneider A, Atamkuri G, Hengen KB, Dyer EL.   +6 more
europepmc   +1 more source

Early Clinical and Cerebrospinal Fluid Predictors of 1‐Year Recurrence in Autoimmune GFAP Astrocytopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong, Yuping Xiao, Yuhan Wu, Ziyuan Huang, Weishan Liang, Li Xiao, Yaqing Shu, Tingting Lu, Yanyu Chang, Wei Qiu, Yuge Wang   +10 more
wiley   +1 more source

No-rank tensor decomposition via metric learning. [PDF]

Sci Rep
Bagherian M.
europepmc   +1 more source

Improving molecular representation learning with metric learning-enhanced optimal transport. [PDF]

Patterns (N Y), 2023
Wu F, Courty N, Jin S, Li SZ.
europepmc   +1 more source