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Titlebook: Artificial Intelligence; Second CAAI Internat Lu Fang,Daniel Povey,Ruiping Wang Conference proceedings 2022 The Editor(s) (if applicable) a

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樓主: Sediment
51#
發(fā)表于 2025-3-30 10:32:52 | 只看該作者
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發(fā)表于 2025-3-30 13:33:41 | 只看該作者
Implementing Remote Data Portal Hosts,x relationship between students and exercises. Benefiting from big data, deep learning show advantages in cognitive diagnosis tasks. However, the general deep learning-based methods are sensitive to noise, and response bias is an inevitable problem in real-world situations. To address this challenge
53#
發(fā)表于 2025-3-30 19:31:36 | 只看該作者
Implementing Remote Data Portal Hosts,ss, which may make the acquired relative position/attitude parameters unstable or even odd (not unique), and there is a ‘blind area’ of vision measurement in the UAV rollout stage, which loses the navigation ability and seriously affects the safety of landing. In this paper, an autonomous landing na
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發(fā)表于 2025-3-30 22:57:12 | 只看該作者
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發(fā)表于 2025-3-31 03:22:53 | 只看該作者
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發(fā)表于 2025-3-31 11:46:23 | 只看該作者
https://doi.org/10.1007/978-3-031-20500-2Machine Learning; Data Mining; Computer Vision; Explainability of AI; Understandability of AI; computer n
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發(fā)表于 2025-3-31 14:18:08 | 只看該作者
978-3-031-20499-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-31 19:52:45 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162072.jpg
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發(fā)表于 2025-4-1 01:38:52 | 只看該作者
Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networksperceptible perturbations to clean examples. Adversarial examples will mislead deep learning (DL) model to make wrong predictions. At present, many existing white-box attack methods in the image field are mainly based on the global gradient of the model. That is, the global gradient is first calcula
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