Results 161 to 170 of about 822,037 (305)
Generalization Performance of Quantum Metric Learning Classifiers. [PDF]
Biomolecules, 2022 Kim J, Bekiranov S.
europepmc +1 more source
A Deep Metric Learning-Based Anomaly Detection System for Transparent Objects Using Polarized-Image Fusion [PDF]
, 2023 Atsutake Kosuge +4 more
openalex +1 more source
CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang +6 more
wiley +1 more source
EM-Gaze: eye context correlation and metric learning for gaze estimation. [PDF]
Vis Comput Ind Biomed Art, 2023 Zhou J +5 more
europepmc +1 more source
Fast unsupervised ground metric learning with tree-Wasserstein distance [PDF]
Kira M. Düsterwald +2 more
openalex +1 more source
Arthritis Care &Research, EarlyView.This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Detecting change points in neural population activity with contrastive metric learning. [PDF]
Int IEEE EMBS Conf Neural Eng, 2023 Urzay C +6 more
europepmc +1 more source
Learning based Facial Image Compression with semantic fidelity metric [PDF]
, 2019 Zhibo Chen, Tianyu He
openalex +1 more source
Arthritis Care &Research, EarlyView.Objective 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 the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
Aurora Image Classification with Deep Metric Learning. [PDF]
Sensors (Basel), 2022 Endo T, Matsumoto M.
europepmc +1 more source