SPAN: Subgraph Prediction Attention Network for Dynamic Graphs [PDF]
, 2021 Accepted by PRICAI ...
Li, Yuan +3 more
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Global ionospheric sporadic E intensity prediction from GNSS RO using a novel stacking machine learning method incorporated with physical observations [PDF]
Atmospheric Chemistry and PhysicsSporadic E (Es) layers, the irregularities of enhanced electron density commonly occurring in the ionospheric E region, are affected by the interactions between distinct atmospheric layers.
T. Hu +6 more
doaj +1 more source
Stature and Its Estimation Utilizing Arm Span Measurements in Male Adolescents from Federation of Bosnia and Herzegovina Entity in Bosnia and Herzegovina [PDF]
Montenegrin Journal of Sports Science and Medicine, 2017 The purpose of this study was to evaluate stature in males from the Federation of Bosnia and Herzegovina Entity in Bosnia and Herzegovina (hereinafter BH) as well as the relationship between arm span as an alternative to estimating stature, which varies ...
Jovan Gardasevic +4 more
doaj
Content-embedded tasks beat complex span for predicting comprehension [PDF]
Behavior Research Methods, 2011 Discourse comprehension requires one to process information that is actively maintained in working memory (WM). Therefore, we hypothesized that individual differences in comprehension would be predicted better by working memory tasks that capture the concurrent demands of processing and maintenance of the same memory elements (i.e., content-embedded ...
Christopher A, Was +3 more
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Simultaneous prediction of protein secondary structure and transmembrane spans [PDF]
Proteins: Structure, Function, and Bioinformatics, 2013 Prediction of transmembrane spans and secondary structure from the protein sequence is generally the first step in the structural characterization of (membrane) proteins. Preference of a stretch of amino acids in a protein to form secondary structure and being placed in the membrane are correlated. Nevertheless, current methods predict either secondary
Julia Koehler, Leman +4 more
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Deep Neural Networks Based on Span Association Prediction for Emotion-Cause Pair Extraction
Sensors, 2022 The emotion-cause pair extraction task is a fine-grained task in text sentiment analysis, which aims to extract all emotions and their underlying causes in a document. Recent studies have addressed the emotion-cause pair extraction task in a step-by-step
Weichun Huang +4 more
doaj +1 more source
Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland [PDF]
SOILConventional laboratory analysis of soil properties is often expensive and requires much time if various soil properties are to be measured. Visual and near-infrared (vis–NIR) spectroscopy offers a complementary and cost-efficient way to gain a wide ...
S. Oberholzer +4 more
doaj +1 more source
A nonstationary analysis for investigating the multiscale variability of extreme surges: case of the English Channel coasts [PDF]
Natural Hazards and Earth System Sciences, 2020 This research examines the nonstationary dynamics of extreme surges along the English Channel coasts and seeks to make their connection to the climate patterns at different timescales by the use of a detailed spectral analysis in order to gain insights ...
I. Turki +7 more
doaj +1 more source
Learning to Predict Independent of Span
, 2015 32 ...
van Hasselt, Hado, Sutton, Richard S.
openaire +2 more sources
Advances in Civil Engineering, 2022 Most of the prediction models for the shear capacity of FRP bar reinforced concrete beams without web reinforcement in current codes are reported to be conservative and do not consider the effect of span-to-depth ratio.
Danying Gao +3 more
doaj +1 more source