Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Shufeng Hao"'
Publikováno v:
Water, Vol 16, Iss 20, p 2927 (2024)
In this study, we explore the potential of assimilating satellite-derived reservoir storage data into the global-scale hydrodynamic model CaMa-Flood, focusing on the Yangtze River basin. We evaluated three data assimilation (DA) methods: direct assim
Externí odkaz:
https://doaj.org/article/dd867639bf4247f395c97f82a607df00
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2057 (2024)
Graph contrastive learning has demonstrated significant superiority for collaborative filtering. These methods typically use augmentation technology to generate contrastive views, and then train graph neural networks with contrastive learning as an a
Externí odkaz:
https://doaj.org/article/b4932c07266b4fb0ac7a3243b0231371
Publikováno v:
Entropy, Vol 25, Iss 6, p 878 (2023)
Sarcasm is a sophisticated figurative language that is prevalent on social media platforms. Automatic sarcasm detection is significant for understanding the real sentiment tendencies of users. Traditional approaches mostly focus on content features b
Externí odkaz:
https://doaj.org/article/ebd1241dba3f4763a52dbbe5612b6f0e
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 13:1-54
Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks. Up to now, there have been several surveys on this topic. However, they usually lay emphasis on different angles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e138199774ab00ab62054649607bbd30
https://doi.org/10.1145/3495161
https://doi.org/10.1145/3495161
Session-based recommendation uses existing items in users’ interaction sessions to predict the next items with which users will interact. The existing items in sessions usually have different degrees of relevance with each other, and this item rele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1246ffa8042201ef10ce5f594950164b
https://hdl.handle.net/10453/156011
https://hdl.handle.net/10453/156011
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783030731991
DASFAA (3)
DASFAA (3)
Personalized news recommendation systems aim to alleviate information overload and provide users with personalized reading suggestions. In general, each news has its own lifecycle that is depicted by a bell-shaped curve of clicks, which is highly lik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe61c30027ea5d823309f8896092ec59
https://doi.org/10.1007/978-3-030-73200-4_7
https://doi.org/10.1007/978-3-030-73200-4_7
Publikováno v:
SIGIR
Question-answering sentiment analysis (QASA) is a novel but meaningful sentiment analysis task based on question-answering online reviews. Existing neural network-based models that conduct sentiment analysis of online reviews have already achieved gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c1c0fc4066c7a95561bbbc07495d7e
https://doi.org/10.1145/3397271.3401226
https://doi.org/10.1145/3397271.3401226
Publikováno v:
Knowledge-Based Systems. 236:107711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3170d780990c14c064211372f609b3d3
https://doi.org/10.1016/j.knosys.2021.107711
https://doi.org/10.1016/j.knosys.2021.107711
Publikováno v:
Bioresource Technology. 344:126267
Mainstream partial-denitrification with anammox (PD-anammox) process faced the challenge of complex organics involved in real sewage. Herein, PD-anammox coupled with in-situ fermentation was successfully achieved in a full biofilm system formed by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f6beb168cf8c38cef36528bfe9ffada
https://doi.org/10.1016/j.biortech.2021.126267
https://doi.org/10.1016/j.biortech.2021.126267
Publikováno v:
Engineering Applications of Artificial Intelligence. 69:65-75
© 2017 Elsevier Ltd The semantic information in any document collection is critical for query understanding in information retrieval. Existing concept lattice-based retrieval systems mainly rely on the partial order relation of formal concepts to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a20de33f112c295994d587b447920d59
https://doi.org/10.1016/j.engappai.2017.12.007
https://doi.org/10.1016/j.engappai.2017.12.007