Results 21 to 30 of about 839,459 (306)
Immune boosting by B.1.1.529 (Omicron) depends on previous SARS-CoV-2 exposure
Science, 2022 The Omicron, or Pango lineage B.1.1.529, variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) carries multiple spike mutations with high transmissibility and partial neutralizing antibody (nAb) escape.
C. Reynolds +145 more
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A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms
International Journal of Assessment Tools in Education, 2023 This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABİDE ...
Hikmet Şevgin
doaj +1 more source
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection [PDF]
IEEE transactions on intelligent transportation systems (Print), 2019 Pavement crack detection is a critical task for insuring road safety. Manual crack detection is extremely time-consuming. Therefore, an automatic road crack detection method is required to boost this progress.
F. Yang +5 more
semanticscholar +1 more source
Algorithms, 2021 In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation.
Guido Bologna
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Use of machine learning techniques for modeling of snow depth
Лëд и снег, 2017 Snow exerts significant regulating effect on the land hydrological cycle since it controls intensity of heat and water exchange between the soil-vegetative cover and the atmosphere.
G. V. Ayzel
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Boosting Adversarial Attacks with Momentum
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Deep neural networks are vulnerable to adversarial examples, which poses security concerns on these algorithms due to the potentially severe consequences.
Yinpeng Dong +6 more
semanticscholar +1 more source
Boosting Crowd Counting via Multifaceted Attention [PDF]
Computer Vision and Pattern Recognition, 2022 This paper focuses on the challenging crowd counting task. As large-scale variations often exist within crowd images, neither fixed-size convolution kernel of CNN nor fixed-size attention of recent vision transformers can well handle this kind of ...
Hui Lin +4 more
semanticscholar +1 more source
Monthly Notices of the Royal Astronomical Society, 2021 ABSTRACT The global gravitational potential, ϕ, is not commonly employed in the analysis of cosmological simulations, since its level sets do not show any clear correspondence to the underlying density field and its persistent structures.
Jens Stücker +2 more
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GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction
bioRxiv, 2020 Genome-Wide Association Study (GWAS) and Genomic Prediction/Selection (GP/GS) are the two essential enterprises in genomic research. Due to the great magnitude and complexity of genomic data, analytical methods and their associated software packages are ...
Jiabo Wang, Zhiwu Zhang
semanticscholar +1 more source
Pattern Recognition, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pham, T.V., Smeulders, A.W.M.
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