Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yuanye He"'
Publikováno v:
IEEE Access, Vol 8, Pp 66638-66646 (2020)
Discussion features in online communities can be effectively used to diagnose depression and allow other users or experts to provide self-help resources to those in need. Automatic emotion identification models can quickly and effectively highlight i
Externí odkaz:
https://doaj.org/article/60690229247340a68bcf5c4a2e0eddf5
105
With the development of society, more and more attention has been paid to psychiatric health and psychiatric illness. When people are depressed or suffer from psychiatric illness, it is an efficient and effective way to seek help from the In
With the development of society, more and more attention has been paid to psychiatric health and psychiatric illness. When people are depressed or suffer from psychiatric illness, it is an efficient and effective way to seek help from the In
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/xh4hf3
Publikováno v:
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD).
Publikováno v:
RILEM Bookseries ISBN: 9783030837181
RILEM Bookseries
RILEM Bookseries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d509a7513a6cb17ef6ec20ff3643a616
https://doi.org/10.1007/978-3-030-83719-8_79
https://doi.org/10.1007/978-3-030-83719-8_79
Publikováno v:
CSCWD
Recently, top-k recommendation system is getting more and more attention from researchers and unlike the rating prediction task, the purpose of top-k recommendation is to present the user with a list of items they are most interested in. Many rating
Publikováno v:
CSCWD
In recent years, audiences can find their interested TV play or movie videos by labels easily. However, for finding shots with certain semantic content in these videos, it is still a problem to annotate video shots by labels. Some existing approaches
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030821357
KSEM
KSEM
Knowledge Graph Embedding (KGE) has attracted more and more attention and has been widely used in downstream AI tasks. Some proposed models learn the embeddings of Knowledge Graph (KG) into a low-dimensional continuous vector space by optimizing a cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d914c89f96441be10407127899d341f
https://doi.org/10.1007/978-3-030-82136-4_14
https://doi.org/10.1007/978-3-030-82136-4_14
Publikováno v:
ICTAI
In recent years, social recommendation is a research hotspot because it contains social network information which can effectively solve the problem of data sparsity and cold start. But the social recommendation task faces two problems: one is that ho
Autor:
Yuanye He, Esmaeel Esmaeeli
Publikováno v:
Journal of Building Engineering. 43:103132
In this study, the effectiveness of two retrofitting solutions for the repair and upgrading of severely damaged substandard RC beam-column joints is examined and compared. Both solutions are made of CFRP reinforced SHCC (Strain Hardening Cementitious
Publikováno v:
ICC
Dynamic graph link prediction has attracted increasing attention in various fields such as social networks, paper citation networks and knowledge graphs. Many models have been developed to predict the future graph structure. In this paper, we propose