Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Shengdong Du"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 3, Pp 753-764 (2024)
With the advent of the era of big data, an increasing amount of duplicate data are expressed in different forms. In order to reduce redundant data storage and improve data quality, data deduplication technology has never become more significant than
Externí odkaz:
https://doaj.org/article/7418ce9816034b249a0f1e842d8d83cd
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 3, Pp 263-274 (2023)
Abstract The transformer-based approach excels in long-term series forecasting. These models leverage stacking structures and self-attention mechanisms, enabling them to effectively model dependencies in series data. While some approaches prioritize
Externí odkaz:
https://doaj.org/article/f9d822f56ed942898d90f5e32e8aa237
Autor:
Xiong Liao, Meng Liao, Andi Guo, Xinran Luo, Ziwei Li, Weiyuan Chen, Tianrui Li, Shengdong Du, Zhen Jia
Publikováno v:
Human-Centric Intelligent Systems, Vol 2, Iss 1-2, Pp 1-13 (2022)
Abstract Knowledge Graph (KG) has been proven effective in representing and modeling structured information, especially in the medical domain. However, obtaining structured medical information usually depends on the manual processing of medical exper
Externí odkaz:
https://doaj.org/article/5c88d99f2cc74b8a8f756b021612523b
Publikováno v:
Big Data Mining and Analytics, Vol 3, Iss 4, Pp 311-319 (2020)
As an important branch of natural language processing, sentiment analysis has received increasing attention. In teaching evaluation, sentiment analysis can help educators discover the true feelings of students about the course in a timely manner and
Externí odkaz:
https://doaj.org/article/49b8fecce20d433782eade870a62bfac
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)
Traffic flow forecasting has been regarded as a key problem of intelligent transport systems. In this work, we propose a hybrid multimodal deep learning method for short-term traffic flow forecasting, which can jointly and adaptively learn the spatia
Externí odkaz:
https://doaj.org/article/42b81d9fb46e41b6b734bd6ceb039a51
Publikováno v:
Information Sciences. 635:86-98
Publikováno v:
Artificial Intelligence Review. 56:6661-6704
With the progress of human daily interaction activities and the development of industrial society, a large amount of media data and sensor data become accessible. Humans collect these multi-source data in chronological order, called multi-view sequen
Publikováno v:
International Journal of Machine Learning and Cybernetics. 13:3359-3372
Publikováno v:
Neural Processing Letters. 55:751-772
Publikováno v:
Applied Intelligence. 53:3519-3529