Results 21 to 30 of about 43,756 (288)
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes
Transactions of the Association for Computational Linguistics, 2021 We explore few-shot learning (FSL) for relation classification (RC). Focusing on the realistic scenario of FSL, in which a test instance might not belong to any of the target categories (none-of-the-above, [NOTA]), we first revisit the ...
Ofer Sabo +3 more
doaj +1 more source
BioMedical Engineering OnLine, 2017 Background This paper presents the preliminary results of a novel rehabilitation therapy for cervical and trunk control of children with cerebral palsy (CP) based on serious videogames and physical exercise.
Miguel A. Velasco +7 more
doaj +1 more source
Global in Local: A Convolutional Transformer for SAR ATR FSL
IEEE Geoscience and Remote Sensing Letters, 2022 Convolutional neural networks (CNNs) have dominated the synthetic aperture radar (SAR) automatic target recognition (ATR) for years. However, under the limited SAR images, the width and depth of the CNN-based models are limited, and the widening of the received field for global features in images is hindered, which finally leads to the low performance ...
Chenwei Wang +5 more
openaire +3 more sources
, 2008 The synchronous design style suffers from problems that require new strategies. The demand for asynchronous solutions, which address these problems not only already exists but will be growing in the future.
Jeitler, Marcus
core +4 more sources
, 2019 Preprocessing pipeline for diffusion MRI data using the FSL software ...
Greg Kiar, using FSL from FMRIB at Oxford (6285878) +1 more
core +2 more sources
Languages, 2021 This exploratory article describes (1) the self-reported instructional practices of a group of 103 Kindergarten to Grade 12 French-as-a-second-language (FSL) teachers from school boards across Ontario, Canada before and after intensive and extensive ...
Katherine Rehner +2 more
doaj +1 more source
Bayesian analysis of neuroimaging data in FSL
NeuroImage, 2009 Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy images of the brain. This might be the inference of percent changes in blood flow in perfusion FMRI data, segmentation of subcortical structures from structural MRI, or inference of the probability of an anatomical connection between an area of cortex ...
Mark William Woolrich +8 more
openaire +3 more sources
Reproducibility of neuroimaging analyses across operating systems
Frontiers in Neuroinformatics, 2015 Neuroimaging pipelines are known to generate different results depending on the computing platform where they are compiled and executed. We quantify these differences for brain tissue classification, fMRI analysis, and cortical thickness (CT) extraction,
Tristan eGlatard +12 more
doaj +1 more source
FRIEND Engine Framework: A real time neurofeedback client-server system for neuroimaging studies
Frontiers in Behavioral Neuroscience, 2015 In this methods article, we present a new implementation of a recently reported FSL-integrated neurofeedback tool, the standalone version of Functional Real-time Interactive Endogenous Modulation and Decoding (FRIEND).
Rodrigo eBasilio +7 more
doaj +1 more source