Results 91 to 100 of about 1,977,387 (333)
Deep Learning on SAR Imagery: Transfer Learning Versus Randomly Initialized Weights [PDF]
Morteza Karimzadeh, Rafael Pires de Lima
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Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
This article explores the concept of transferability in education with a focus on the practices of music education and their application across broader learning contexts.
Anca SIMION
doaj +1 more source
Detection of Covid-19 on X-Ray Image of Human Chest Using CNN and Transfer Learning
Jalu Nusantoro +4 more
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Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy
ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan +3 more
wiley +1 more source
Intermanual Transfer of Learning in a Fine Manual Skill Task
Intermanual Transfer of Learning (IMTL) is the ability to learn a certain skill in an easier way with one hand after that skill has been learnt by the opposite hand(1).
Shirley Regina de Almeida Batista +2 more
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Transfer of statistical learning between tasks.
Recent studies have shown that observers can learn to suppress locations in the visual field with a high distractor probability. Here, we investigated whether this learned suppression resulting from a spatial distractor imbalance transfers to a completely different search task that does not contain any distractors.
Dirk van Moorselaar, Jan Theeuwes
openaire +4 more sources
Neural Correlates of Motor Learning, Transfer of Learning, and Learning to Learn [PDF]
Recent studies on the neural bases of sensorimotor adaptation demonstrate that the cerebellar and striatal thalamocortical pathways contribute to early learning. Transfer of learning involves a reduction in the contribution of early learning networks and increased reliance on the cerebellum.
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Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
CanDiag: Fog Empowered Transfer Deep Learning Based Approach for Cancer Diagnosis [PDF]
Abhilash Pati +4 more
openalex +1 more source

