Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Yanfeng Shu"'
Publikováno v:
Neurocomputing. :126294
Publikováno v:
Advances and Applications in Deep Learning ISBN: 9781839628788
Deep Learning, also known as deep representation learning, has dramatically improved the performances on a variety of learning tasks and achieved tremendous successes in the past few years. Specifically, artificial neural networks are mainly studied,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1628cb6179da2c02abc117c6463abd84
https://doi.org/10.5772/intechopen.93512
https://doi.org/10.5772/intechopen.93512
Transfer learning is an emerging technique in machine learning, by which we can solve a new task with the knowledge obtained from an old task in order to address the lack of labeled data. In particular deep domain adaptation (a branch of transfer lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6db330bf6af81bd50ed113bc06376f
https://doi.org/10.5772/intechopen.94072
https://doi.org/10.5772/intechopen.94072
Publikováno v:
SSCI
General practitioners/doctors usually make disease diagnoses based on some predefined rules, which may lead to omitting some important hidden factors. Deep neural networks are well known for their ability to extract features from large amounts of lab
Autor:
Yanfeng Shu, Tuba Kocaturk, Guangyan Huang, Chi-Hung Chi, Najmeh Samadiani, Wei Luo, Rui Wang
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811528095
ICDS
ICDS
Emotions are expressed by humans to demonstrate their feelings in daily life. Video emotion recognition can be employed to detect various human emotions captured in videos. Recently, many researchers have been attracted to this research area and atte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b611355979132fe23545bb96c341dac
https://doi.org/10.1007/978-981-15-2810-1_27
https://doi.org/10.1007/978-981-15-2810-1_27
Autor:
Yanfeng Shu
Publikováno v:
Knowledge-Based Systems. 153:29-39
Efforts have been made in the Semantic Web to combine rules with ontologies. One result of these efforts is the development of the Semantic Web Rule Language (SWRL) which is designed to integrate closely with the Web Ontology Language (OWL). Both SWR
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811366604
AusDM
AusDM
Integrating data from different sources often involves using personal information for linking records that correspond to the same real-world entities. This raises privacy concerns, leading to development of privacy preserving record linkage (PPRL) te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94f90ca59b4509deba800922bf0f979e
https://doi.org/10.1007/978-981-13-6661-1_16
https://doi.org/10.1007/978-981-13-6661-1_16
Publikováno v:
Environmental Modelling & Software. 79:10-21
To facilitate data access, integration and analysis tasks, standardised markup languages are commonly used for communicating data from multiple sources. However, one issue with the use of standardised markup languages is that they generally fail to c
Publikováno v:
Knowledge-Based Systems. 75:104-123
We propose an ontology-mediated approach for environmental data translation.We outline the principles underlying the design of a mediating ontology, and show the development of such an ontology.We propose a declarative formalism for representing spre