Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yuanyuan Jin"'
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(5)
Traditional Chinese Medicine (TCM) has the longest clinical history in Asia and contributes a lot to health maintenance worldwide. An essential step during the TCM diagnostic process is syndrome induction, which comprehensively analyzes the symptoms
Autor:
Yuanyuan Jin, Qingju Jiao
Publikováno v:
Journal Européen des Systèmes Automatisés. 52:35-41
Publikováno v:
ICWS
Session-based recommendation, which aims to predict the next action of an anonymous user base on the interaction information in a session, plays a crucial role in many online services. Recent works solve the problem with the latest deep learning tech
Publikováno v:
Web and Big Data ISBN: 9783030602581
APWeb/WAIM (1)
APWeb/WAIM (1)
Matching between questions and suitable users is an appealing and challenging problem in the research area of community question answering (CQA). Usually, different from the traditional recommendation systems where a user has only a single role, each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6615cf5125f8b5d32c4ce619f4061716
https://doi.org/10.1007/978-3-030-60259-8_32
https://doi.org/10.1007/978-3-030-60259-8_32
Publikováno v:
GeoInformatica. 22:29-47
A lot of researchers utilize side-information, such as the map which is likely to be exploited by some attackers, to protect users’ location privacy in location-based service (LBS). However, current technologies universally model the side-informati
Publikováno v:
Computer Applications in Engineering Education. 25:120-128
Autor:
Qingju Jiao, Yuanyuan Jin
Publikováno v:
2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Module (or community) structure detection, which has been successfully applied to many fields, is vital step for understand network dynamic and complex systems. Module structure not only is a crucial character of networks, but also is multi-scale. Th
Publikováno v:
Computational Data and Social Networks ISBN: 9783030046477
CSoNet
CSoNet
Prerequisite inadequacy tends to cause more drop-out of MOOC. Recommendation is an effective method of learning intervene. Existing recommendation for MOOC is mainly for subsequent learning objects that have not been learned before. This paper propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b7b22425dbb5b64f6fce7074c46a8e5
https://doi.org/10.1007/978-3-030-04648-4_35
https://doi.org/10.1007/978-3-030-04648-4_35
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783319914572
DASFAA (2)
DASFAA (2)
Traditional recommendation approaches work well on depicting users’ long-term music preference. However, in the conversational applications, it is unable to capture users’ real time music taste, which are dynamic and depend on user context includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ae473196f97dba7d5db0a160872a1c8
https://doi.org/10.1007/978-3-319-91458-9_55
https://doi.org/10.1007/978-3-319-91458-9_55
Publikováno v:
2016 IEEE Power and Energy Society General Meeting (PESGM).
Classification of power quality (PQ) disturbances has become an important issue due to the increasing of disturbing loads in electric power system and sensitivity to these disturbances. However, there are still some challenges in this issue such as l