Results 121 to 130 of about 2,204,167 (303)
GL-Coarsener: A Graph representation learning framework to construct coarse grid hierarchy for AMG solvers [PDF]
Reza Namazi +3 more
openalex +1 more source
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints [PDF]
Srijan Das, Michael S. Ryoo
openalex +1 more source
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams +14 more
wiley +1 more source
Domain Specific Placebo Response in the Modified Friedreich's Ataxia Rating Scale
ABSTRACT The placebo response in clinical trials in ataxias complicates outcome interpretation and potentially obscures genuine treatment effects. We analyzed placebo group data from past trials in Friedreich Ataxia and observed notable responses in appendicular items, in contrast to minimal changes in axial function, as measured by respective ...
Christian Rummey +2 more
wiley +1 more source
Representation learning for geospatial data
This paper reviews representation learning for geospatial data, focusing on methods for automatically extracting meaningful features from diverse data types.
Yu Liu +12 more
doaj +1 more source
Representation Learning in Partially Observable Environments using Sensorimotor Prediction [PDF]
Thibaut Kulak, M. Ortíz
openalex +1 more source
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah +7 more
wiley +1 more source
A Deep Learning Based Induced GNSS Spoof Detection Framework
The Global Navigation Satellite System (GNSS) plays a crucial role in critical infrastructure by delivering precise timing and positional data. Nonetheless, the civilian segment of the GNSS remains susceptible to various spoofing attacks, necessitating ...
Asif Iqbal +2 more
doaj +1 more source
Lattice Representation Learning
In this article we introduce theory and algorithms for learning discrete representations that take on a lattice that is embedded in an Euclidean space. Lattice representations possess an interesting combination of properties: a) they can be computed explicitly using lattice quantization, yet they can be learned efficiently using the ideas we introduce ...
openaire +2 more sources

