Results 1 to 10 of about 1,057,367 (187)
Tongxin xuebaoConsidering the problems of traditional detection methods limited by weak model representation capabilities and vulnerability to data class imbalance, a network traffic anomaly detection method integrating multi-scale convolution and a channel attention ...
Fu Yu +4 more
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A Class Balanced Spatio-Temporal Self-Attention Model for Combat Intention Recognition
IEEE AccessTo address the issue of model performance degradation in combat intention recognition caused by the long-tailed distribution of battlefield data and the neglect of the spatial dimension information of multivariate time series data, this paper proposes a ...
Xuan Wang +4 more
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Vergence and Standing Balance in Subjects with Idiopathic Bilateral Loss of Vestibular Function
PLoS ONE, 2013 There is a natural symbiosis between vergence and vestibular responses. Deficits in vergence can lead to vertigo, disequilibrium, and postural instability. This study examines both vergence eye movements in patients with idiopathic bilateral vestibular loss, and their standing balance in relation to vergence.
Zoï Kapoula +4 more
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Restoring the smile: Inexpensive biologic restorations
Dental Research Journal, 2014 Extensive breakdown of primary teeth to the cervical level and their loss in very young children is not uncommon. Owing to increasing concerns over self-appearance, due considerations to esthetic aspects in addition to restoring function are necessary ...
Neeti P Mittal
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Characterization of admissible linear estimators under extended balanced loss function [PDF]
Kybernetika, 2021 Buatikan Mirezi, Selahattin Kaçıranlar
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Journal of Highway and Transportation Research and DevelopmentVehicle detection in aerial imagery is of paramount importance for various intelligent transportation applications, including vehicle tracking, traffic control, and traffic behavior analysis.
Xunxun Zhang, Xu Zhu
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ZEB Proteins in Leukemia: Friends, Foes, or Friendly Foes?
HemaSphere, 2018 . ZEB1 and ZEB2 play pivotal roles in solid cancer metastasis by allowing cancer cells to invade and disseminate through the transcriptional regulation of epithelial-to-mesenchymal transition.
Bieke Soen +5 more
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LM-CLIP: Adapting Positive Asymmetric Loss for Long-Tailed Multi-Label Classification
IEEE AccessAccurate multi-label image classification is essential for real-world applications, especially in scenarios with long-tailed class distributions, where some classes appear frequently while others are rare. This imbalance often leads to biased models that
Christoph Timmermann +3 more
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Improving long‐tail classification via decoupling and regularisation
CAAI Transactions on Intelligence TechnologyReal‐world data always exhibit an imbalanced and long‐tailed distribution, which leads to poor performance for neural network‐based classification. Existing methods mainly tackle this problem by reweighting the loss function or rebalancing the classifier.
Shuzheng Gao +6 more
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International Journal of Electrical Power & Energy SystemsThe performance of existing distribution network state estimation (SE) methods is unsatisfactory due to limited real-time measurements. In this paper, a Bayesian SE method is proposed for partially observable distribution networks using a novel power ...
Dong Liang +5 more
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