Few-Shot Learning (FSL) algorithms have made substantial progress in learning novel concepts with just a handful of labelled data. To classify query instances from classes encountered at test-time, they only require support set composed few samples. FSL benchmarks commonly assume that those queries come the same distribution as set. However, realistic setting, data is plausibly subject to chang...

BACKGROUND Studies disagree on the location of grey matter (GM) atrophy in the multiple sclerosis (MS) brain. AIM To examine the consistency between FSL, FreeSurfer, SPM for GM atrophy measurement (for volumes, patient/control discrimination, and correlations with cognition). MATERIALS AND METHODS 127 MS patients and 50 controls were included and cortical and deep grey matter (DGM) volumetr...

Children of depressed parents often exhibit emotion-regulation deficits, characterized by either excessive withdrawal or approach strategies toward the mother. The current study examined behavioral and physiological emotion-regulation in preweanling pups (postnatal day 17-19) belonging to two different genetic animal models of depression, Wistar-Kyoto (WKY) and Flinders Sensitive-Line (FSL) rat...

Introduction FreeStyle Libre System (FSL) is a minimally invasive technology, which provides frequent information about interstitial glucose levels, allows adjustment of insulin dose and reduction in the number fingersticks. This study aims to evaluate effectiveness safety FSL childhood adolescence. Methods Prospective case series 27 Spanish hospitals. Patients aged 4-17 years with type 1 diabe...

In recent years, researchers pay growing attention to the few-shot learning (FSL) task address data-scarce problem. A standard FSL framework is composed of two components: i) Pre-train. Employ base data generate a CNN-based feature extraction model (FEM). ii) Meta-test. Apply trained FEM novel (category different from data) acquire embeddings and recognize them. Although have made remarkable br...

Considering the heterogeneous character of depression, it seems likely that many brain regions are involved mediating the diverse symptoms of depression. For example, the mesolimbic DA system has a central function for motivational behaviors and pleasure seeking, and it is possible that malfunctioning of brain reward systems could be an underlying mechanism of the anhedonia experienced in depre...

The problem of training with a small set positive samples is known as few-shot learning (FSL). It widely that traditional deep algorithms usually show very good performance when trained large datasets. However, in many applications, it not possible to obtain such high number samples. This paper deals the application FSL detection specific and intentional acoustic events given by different types...

PURPOSE OF REVIEW To look at the recent applications of femtosecond laser (FSL) technology for capsulotomy and nuclear fragmentation in cataract surgery, the potential advantages, such as more precise and adjustable capsulotomies and the use of less phaco energy with this technology. RECENT FINDINGS The FSL can create incisions or spaces of different shapes, at a desired depth. This has start...