Zobrazeno 1 - 10
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pro vyhledávání: '"Liang, Yunji"'
Recently, self-supervised monocular depth estimation has gained popularity with numerous applications in autonomous driving and robotics. However, existing solutions primarily seek to estimate depth from immediate visual features, and struggle to rec
Externí odkaz:
http://arxiv.org/abs/2309.00526
Autor:
Liang, Yunji, Zheng, Xiaolong, Zeng, Daniel Dajun, Zhou, Xingshe, Leischow, Scott James, Chung, Wingyan
Publikováno v:
Journal of Medical Internet Research, Vol 17, Iss 1, p e24 (2015)
BackgroundThe commercial potential of social media is utilized by tobacco manufacturers and vendors for tobacco promotion online. However, the prevalence and promotional strategies of pro-tobacco content in social media are still not widely understoo
Externí odkaz:
https://doaj.org/article/1dc0ee8f3bea45b4a09f0c796f9d62a6
Publikováno v:
In Information Processing and Management January 2025 62(1)
The blooming of fake news on social networks has devastating impacts on society, economy, and public security. Although numerous studies are conducted for the automatic detection of fake news, the majority tend to utilize deep neural networks to lear
Externí odkaz:
http://arxiv.org/abs/2106.11177
Publikováno v:
In Information Sciences February 2024 657
Akademický článek
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The massive spread of misinformation in social networks has become a global risk, implicitly influencing public opinion and threatening social/political development. Misinformation detection (MID) has thus become a surging research topic in recent ye
Externí odkaz:
http://arxiv.org/abs/1909.03654
Publikováno v:
In Information Processing and Management July 2023 60(4)
In the last two decades, the landscape of text generation has undergone tremendous changes and is being reshaped by the success of deep learning. New technologies for text generation ranging from template-based methods to neural network-based methods
Externí odkaz:
http://arxiv.org/abs/1905.01984
Akademický článek
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