Results 1 to 10 of about 569,647 (146)
Adversarial attack and defense on graph neural networks: a survey
网络与信息安全学报, 2021 For the numerous existing adversarial attack and defense methods on GNN, the main adversarial attack and defense algorithms of GNN were reviewed comprehensively, as well as robustness analysis techniques. Besides, the commonly used benchmark datasets and
CHEN Jinyin +2 more
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Robust Correspondence Analysis
Journal of the Royal Statistical Society Series C: Applied Statistics, 2022 AbstractCorrespondence analysis is a method for the visual display of information from two-way contingency tables. We introduce a robust form of correspondence analysis based on minimum covariance determinant estimation. This leads to the systematic deletion of outlying rows of the table and to plots of greatly increased informativeness.
Riani, Marco +3 more
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Buildings, 2022 In this work, a deterministic approach is adopted to analyze the robustness of the timber roof of the Gaggiandre shipyard at the Arsenale of Venice. The capacity of the traditional timber truss to withstand the design loads as a result of the damage in ...
Francesca Ferretti +2 more
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Applied Sciences, 2022 This paper proposed a probabilistic framework that could be used for the sensitivity assessment of grid-connected voltage source converters (VSCs), where uncertainties in the grid short circuit ratio (SCR) and operating point conditions, as well as ...
Hosein Gholami-Khesht +3 more
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Sensors, 2022 With the support of public authorities and research institutions, volcanic ash fallout and its impact on the safety of people, infrastructure and services are addressed with the aim of defining protocols and instruments for the reliable and effective ...
Bruno Andò +3 more
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Robust Kronecker Component Analysis [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 In IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Compact and Efficient Feature Representation and Learning in Computer Vision, 2018. Contains appendices.
Mehdi Bahri +2 more
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Applied Sciences, 2022 Machine learning models based on radiomic features allow us to obtain biomarkers that are capable of modeling the disease and that are able to support the clinical routine.
Carmelo Militello +6 more
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Target Robust Discriminant Analysis [PDF]
, 2021 10 pages, no figures, 2 tables, 2 lemma's, 1 theorem. arXiv admin note: substantial text overlap with arXiv:1706.08082 Accepted to the IAPR Joint International Workshops on Statistical + Structural and Syntactic Pattern Recognition (S+SSPR 2020).
Kouw, Wouter M., Loog, Marco
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Robust Source Localization Using TDOA and FDOA with Receiver Location Errors
Leida xuebao, 2020 To address the low location accuracy and poor robustness of existing methods, error correction to improve the Stage 2 of the original Two-Stage Weighted Least Squares (TSWLS)-based methods is proposed, which involves a robust moving source localization ...
Xiangying GAO +3 more
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Robustness Analysis of Pin Joining
Journal of Manufacturing and Materials Processing, 2022 The trend towards lightweight design, driven by increasingly stringent emission targets, poses challenges to conventional joining processes due to the different mechanical properties of the joining partners used to manufacture multi-material systems. For
David Römisch +4 more
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