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Marcelo Fischer,Rejwanul Haque,Paul Stynes,Pramod Pathaklysis, probabilistic neural networks and multi-layer feed-forward neural networks. In addition, the book describes local and global optimization methods and their application to seismic reflection data. Given i978-3-030-45664-1978-3-030-45662-7Series ISSN 2364-9119 Series E-ISSN 2364-9127培养 发表于 2025-3-30 15:36:49
Natural Language Processing and Information Systems27th International C窝转脊椎动物 发表于 2025-3-30 19:31:03
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On-Device Language Detection and Classification of Extreme Short Text from Calendar Titles Across La. Our language detection models with accuracies of 96%, outperform existing language detection tools by 20% and our event classifiers achieved 92%, 94%, 87% and 90% accuracies across, English, Korean and German, French respectively. Currently tested CEC module architecture delivers the fastest (4 ms苦涩 发表于 2025-3-31 06:55:18
Identifying Fake News in Brazilian Portuguese This paper investigates the application of BERT for fake news identification in Brazilian Portuguese. In addition to BERT, we also tested a number of widely-used machine learning (ML) algorithms, methods and strategies for this task. We found that fake news identification models built using advancePerineum 发表于 2025-3-31 12:28:21
e limited in scope, offers a laboratory analysis of the attenuation effects for sur face layers. The authors confirm that seismic attenuation in sedimentary la978-3-7643-6263-8978-3-0348-8415-0Series ISSN 2504-3625 Series E-ISSN 2504-3633易受刺激 发表于 2025-3-31 15:23:58
Convolutional Graph Neural Networks for Hate Speech Detection in Data-Poor Settingson that considers the similarity among nodes in the graph to improve the final classification. Particularly, our goal is to overcome hate speech detection in data-poor settings. As a result we found that our model is more stable than other state-of-the-art deep learning models with few data in the considered datasets.BRIEF 发表于 2025-3-31 18:04:47
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