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Titlebook: Advanced Data Mining and Applications; 19th International C Xiaochun Yang,Heru Suhartanto,Ningning Cui Conference proceedings 2023 The Edit

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樓主: charter
51#
發(fā)表于 2025-3-30 10:27:53 | 只看該作者
Alexanderplatz (Fallstudie II),According to both objective and subjective evaluation experiments, DiffGAN-VC has been shown to achieve high voice quality on non-parallel data sets. Compared with the CycleGAN-VC method, DiffGAN-VC achieves speaker similarity, naturalness and higher sound quality.
52#
發(fā)表于 2025-3-30 14:19:32 | 只看該作者
53#
發(fā)表于 2025-3-30 16:56:05 | 只看該作者
https://doi.org/10.1007/978-3-658-22257-4and uses multi-hop reasoning to analyze the entities on the meta-path to determine whether there is a strong reasoning path between the entity pair. The relational reasoning module built into the method makes the classifier focus more on the relevant entity pairs in the document, thus reducing the t
54#
發(fā)表于 2025-3-30 21:45:58 | 只看該作者
55#
發(fā)表于 2025-3-31 02:54:07 | 只看該作者
56#
發(fā)表于 2025-3-31 06:24:37 | 只看該作者
Berliner Schlüssel zur Techniksoziologies, thereby assembling an expansive feature repertoire. Secondly, in the pursuit of forming an effective subset of features, the current research introduces the adaptive distribution distance-based feature selection (ADDFS) methodology. Using the Wasserstein distance metric to quantify the difference
57#
發(fā)表于 2025-3-31 12:00:30 | 只看該作者
https://doi.org/10.1007/978-1-137-01775-8ity based on multi-task learning framework. We utilize graph neural network to learn user representation from both the information cascades and social network structure. Comparing with micro and macro level baseline methods separately, the prediction results of our proposed model outperform all base
58#
發(fā)表于 2025-3-31 16:33:18 | 只看該作者
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