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Titlebook: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica

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樓主: IU421
11#
發(fā)表于 2025-3-23 12:54:48 | 只看該作者
Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province,lar membership functions on corresponding bipolar graph are proposed and a novel algorithm for mountain road traffic accident in specific area is given. We analyze the result and give a reasonable explanation for this phenomenon. Some suggestions for reducing the number of mountain traffic accident are proposed.
12#
發(fā)表于 2025-3-23 14:06:17 | 只看該作者
13#
發(fā)表于 2025-3-23 20:52:09 | 只看該作者
A Medical Image Segmentation Method Based on Residual Network and Channel Attention Mechanism,ures according to the importance, so as to improve the segmentation accuracy. According to the experiments on two medical image datasets, our method achieved better segmentation performance than other deep learning-based algorithms, which verified the effectiveness and efficiency of our method.
14#
發(fā)表于 2025-3-23 23:14:08 | 只看該作者
,A Textual Adversarial Attack Scheme for?Domain-Specific Models,e beam search to augment the search range to further improve the attack ability. Experiment results, involving multiple victim models, datasets, and baselines, reflect that our attack method realized significant improvements on domain-specific model attack.
15#
發(fā)表于 2025-3-24 05:18:40 | 只看該作者
16#
發(fā)表于 2025-3-24 08:49:08 | 只看該作者
,Semi-supervised Learning with?Nearest-Neighbor Label and?Consistency Regularization,on of the unlabeled data. We compared with several standard semi-supervised learning benchmarks and achieved a competitive performance. For example, we achieved an accuracy of . on CIFAR-10 with 250 labels and . on SVNH with 250 labels. It even achieved . accuracy with only 40 labels data in the CIFAR-10.
17#
發(fā)表于 2025-3-24 14:25:08 | 只看該作者
18#
發(fā)表于 2025-3-24 14:52:55 | 只看該作者
19#
發(fā)表于 2025-3-24 19:32:01 | 只看該作者
20#
發(fā)表于 2025-3-25 01:40:32 | 只看該作者
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