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Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2023; 32nd International C Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay Confe

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發(fā)表于 2025-3-21 17:39:23 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Neural Networks and Machine Learning – ICANN 2023
期刊簡稱32nd International C
影響因子2023Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay
視頻videohttp://file.papertrans.cn/163/162664/162664.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2023; 32nd International C Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay Confe
影響因子.The 10-volume set LNCS 14254-14263 constitutes the proceedings of the 32nd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2023, which took place in Heraklion, Crete, Greece, during September 26–29, 2023..The 426 full papers, 9 short papers and 9 abstract papers included in these proceedings were carefully reviewed and selected from 947 submissions. ICANN is a dual-track conference, featuring tracks in brain inspired computing on the one hand, and machine learning on the other, with strong cross-disciplinary interactions and applications.??.
Pindex Conference proceedings 2023
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沙發(fā)
發(fā)表于 2025-3-21 23:46:40 | 只看該作者
Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay
板凳
發(fā)表于 2025-3-22 02:23:29 | 只看該作者
地板
發(fā)表于 2025-3-22 06:31:58 | 只看該作者
Herbert Haberlandt,Alfred Schienerute anomaly scores. Comparisons with the unsupervised state-of-the-art approaches on the CMU CERT dataset demonstrate the effectiveness of the proposed method. Our method won the first prize in the CCF-BDCI competition.
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發(fā)表于 2025-3-22 09:44:13 | 只看該作者
https://doi.org/10.1007/978-3-662-25791-3 we employ an attention mechanism to fuse sentences with event information and obtain description-aware embeddings. Secondly, in the syntactic graph convolutional networks module, we use GCNs to encode the sentence, which exploits sentence structure information and improves the robustness of sentenc
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發(fā)表于 2025-3-22 14:14:47 | 只看該作者
Rolf Nevanlinna zum 70. Geburtstag,eriments demonstrate that our proposed method achieves a 58% reduction in floating-point operations per second (FLOPs), while outperforming state-of-the-art Transformer-based GAN baselines on CIFAR10 and STL10 datasets. The codes will be available at ..
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發(fā)表于 2025-3-23 04:55:16 | 只看該作者
Zwangsvollstreckung und Urtheilssicherung,ly, we conducted qualitative and quantitative experiments on a publicly available dataset, which demonstrated that ReDualSVG achieves high-quality synthesis results in the applications of image reconstruction and interpolation, outperforming other alternatives.
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發(fā)表于 2025-3-23 07:37:36 | 只看該作者
https://doi.org/10.1007/978-3-662-41792-8al multi-axis blocked attention (S-MXBA) mechanism in a deep neural network (MXBASRN) to achieve a good trade-off between performance and efficiency for SISR. S-MXBA splits the input feature map into blocks of appropriate size to balance the size of each block and the number of all the blocks, then
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