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Titlebook: Deep Learning Theory and Applications; 5th International Co Ana Fred,Allel Hadjali,Carlo Sansone Conference proceedings 2024 The Editor(s)

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樓主: deduce
31#
發(fā)表于 2025-3-26 22:14:01 | 只看該作者
,Deep Learning-Based Preprocessing Tools for?Turkish Natural Language Processing,del to train the character-level tools, and BERT and mT5 models for the token-based tools. We evaluate the framework for each task on the BOUN Treebank in the UD project and make both the tools and the codes publicly available.
32#
發(fā)表于 2025-3-27 02:02:44 | 只看該作者
33#
發(fā)表于 2025-3-27 06:35:27 | 只看該作者
Conference proceedings 2024 DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024.?..The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence,
34#
發(fā)表于 2025-3-27 10:16:21 | 只看該作者
35#
發(fā)表于 2025-3-27 13:40:30 | 只看該作者
36#
發(fā)表于 2025-3-27 20:21:05 | 只看該作者
,Personalentwicklung für virtuelle Teams,wed by removal of anomalous samples, and fine-tuning on the refined dataset. Experiments conducted on the challenging Kolektor SDD2 dataset show how this process enhances the representation of ‘normal’ data and mitigates overfitting risks.
37#
發(fā)表于 2025-3-28 01:35:28 | 只看該作者
,Pollutant Source Localization Based on?Siamese Neural Network Similarity Measure,orks (SNN). The methodology was tested on simulated measurements based on real atmospheric conditions. And Monte Carlo Markov Chain (MCMC) in a Bayesian inference framework was used to identify the source position and intensity.
38#
發(fā)表于 2025-3-28 03:44:58 | 只看該作者
39#
發(fā)表于 2025-3-28 07:58:12 | 只看該作者
,Self-supervised Learning for?Robust Surface Defect Detection,wed by removal of anomalous samples, and fine-tuning on the refined dataset. Experiments conducted on the challenging Kolektor SDD2 dataset show how this process enhances the representation of ‘normal’ data and mitigates overfitting risks.
40#
發(fā)表于 2025-3-28 10:50:28 | 只看該作者
1865-0929 lications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024.?..The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial int
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