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Yaojie Zhang, Huahu Xu, Junsheng Xiao and Minjie Bian
The real world is full of noisy labels that lead neural networks to perform poorly because deep neural networks (DNNs) are prone to overfitting label noise. Noise label training is a challenging problem relating to weakly supervised learning. The most ad...
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Fei Sun, Run Wang, Bo Wan, Yanjun Su, Qinghua Guo, Youxin Huang and Xincai Wu
Imbalanced learning is a methodological challenge in remote sensing communities, especially in complex areas where the spectral similarity exists between land covers. Obtaining high-confidence classification results for imbalanced class issues is highly ...
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Song Xue and Wing F. Ng
This article provides an overview of gas turbine blade tip external cooling technologies. It is not the intention to comprehensively review all the publications from past to present. Instead, selected reports, which represent the most recent progress in ...
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Imre Keseru, Jeroen Bulckaen, Cathy Macharis
Pág. 134 - 144
This paper proposes the NISTO evaluation framework to appraise small-scale mobility projects. The framework consists of three evaluation tools and a set of evaluation criteria and indicators that are linked to the tools. The appraisal of the sustainabili...
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John S Miller, Linda D Evans
Pág. 81 - 103
Although performance measures encourage agreement in other disciplines, measures for state transportation and land use may engender disagreement among stakeholders. A literature review and a survey of 25 states and three metropolitan planning organizatio...
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Andre Hofman
Pág. pp. 107 - 140
This article aims to assess Chile?s economic performance in the 20th century in a comparative perspective. The casual analysis of economic performance is conducted at two levels, ?ultimate? and ?proximate?. Ultimate causes refer to institutions, ideologi...
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