Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Luo, Ziqian"'
Publikováno v:
Journal of Information, Technology and Policy (2024): 1-12
Vision Transformers (ViT) have marked a paradigm shift in computer vision, outperforming state-of-the-art models across diverse tasks. However, their practical deployment is hampered by high computational and memory demands. This study addresses the
Externí odkaz:
http://arxiv.org/abs/2404.10407
Distributed File Systems (DFS) have emerged as sophisticated solutions for efficient file storage and management across interconnected computer nodes. The main objective of DFS is to achieve flexible, scalable, and resilient file storage management b
Externí odkaz:
http://arxiv.org/abs/2403.15701
Machine learning-based reliability analysis methods have shown great advancements for their computational efficiency and accuracy. Recently, many efficient learning strategies have been proposed to enhance the computational performance. However, few
Externí odkaz:
http://arxiv.org/abs/2403.11125
Publikováno v:
In Applied Soft Computing April 2024 155
Publikováno v:
2019 International Joint Conference on Neural Networks (IJCNN)
Deep learning model trained by imbalanced data may not work satisfactorily since it could be determined by major classes and thus may ignore the classes with small amount of data. In this paper, we apply deep learning based imbalanced data classifica
Externí odkaz:
http://arxiv.org/abs/1908.09993
Sentiment analysis, mostly based on text, has been rapidly developing in the last decade and has attracted widespread attention in both academia and industry. However, the information in the real world usually comes from multiple modalities, such as
Externí odkaz:
http://arxiv.org/abs/1904.08138
Autor:
Chen, Feiyang, Luo, Ziqian
Audio Sentiment Analysis is a popular research area which extends the conventional text-based sentiment analysis to depend on the effectiveness of acoustic features extracted from speech. However, current progress on audio sentiment analysis mainly f
Externí odkaz:
http://arxiv.org/abs/1811.08065
Publikováno v:
In Journal of Cleaner Production 20 August 2022 363
Publikováno v:
Granular Computing; Sep2023, Vol. 8 Issue 5, p943-958, 16p
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