Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jae-Hong Eom"'
Publikováno v:
Neurocomputing. 256:5-12
Temporal information retrieval tasks have a long history in information retrieval field and also have attracted neuroscientists working on memory system. It becomes more important in Semantic Web where structured data in RDF triples, often with tempo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::446010300e0ceb335b4fb0b544d453ea
https://doi.org/10.1016/j.neucom.2016.03.116
https://doi.org/10.1016/j.neucom.2016.03.116
Publikováno v:
KIISE Transactions on Computing Practices. 23:322-327
문서 분류 문제는 오랜 기간 동안 자연어 처리 분야에서 연구되어 왔다. 우리는 기존 컨볼루션 신경망을 이용했던 연구에서 나아가, 순환 신경망에 기반을 둔 문서 분류를 수행하였고 그 결
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2999ec02157507b5f908a2bda817436a
https://doi.org/10.5626/ktcp.2017.23.5.322
https://doi.org/10.5626/ktcp.2017.23.5.322
Publikováno v:
Knowledge-Based Systems. 76:30-41
With the profusion of RDF resources and Linked Data, ontology alignment has gained significance in providing highly comprehensive knowledge embedded in disparate sources. Ontology alignment, however, in Linking Open Data (LOD) has traditionally focus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5758f166714088a99120729916b40e81
https://doi.org/10.1016/j.knosys.2014.11.022
https://doi.org/10.1016/j.knosys.2014.11.022
Publikováno v:
Expert Systems with Applications. 34:2465-2479
Conventional clinical decision support systems are generally based on a single classifier or a simple combination of these models, showing moderate performance. In this paper, we propose a classifier ensemble-based method for supporting the diagnosis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf4bac5ccf64df9ada2cb0f843664d8f
https://doi.org/10.1016/j.eswa.2007.04.015
https://doi.org/10.1016/j.eswa.2007.04.015
Publikováno v:
Semantic Technology ISBN: 9783319156149
JIST
JIST
Linked Data is a collection of RDF data that can grow exponentially and change over time. Detecting changes in RDF data is important to support Linked Data consuming applications with version management. Traditional approaches for change detection ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32e0a795de08bb58c9fdc2c34856912f
https://doi.org/10.1007/978-3-319-15615-6_17
https://doi.org/10.1007/978-3-319-15615-6_17
Publikováno v:
Semantic Technology ISBN: 9783319068251
JIST
JIST
TRP Transient receptor potential channel is a biological component which could be of factors in severe diseases such as heart attack and cancer. In order for researchers to easily search for protein-protein interactions for mammalian TRP channel, TRI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8639cba1d4600083ed8edb56dde0eeed
https://doi.org/10.1007/978-3-319-06826-8_9
https://doi.org/10.1007/978-3-319-06826-8_9
Publikováno v:
WWW (Companion Volume)
This paper introduces DIDO, a system providing convenient access to knowledge about factors involved in human diseases, automatically extracted from textual Web sources. The knowledge base is bootstrapped by integrating entities from hand-crafted sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9850647933f7615616f486912a514f29
https://doi.org/10.1145/1963192.1963298
https://doi.org/10.1145/1963192.1963298
Publikováno v:
GECCO (Companion)
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way of simulated DNA computing. They have a set of hyperedges representing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c85cdb577c7bd01969a76240e6b8127a
https://doi.org/10.1145/1274000.1274073
https://doi.org/10.1145/1274000.1274073
Autor:
Jae-Hong Eom
Publikováno v:
Advances in Neural Networks-ISNN 2006 ISBN: 9783540344827
ISNN (2)
ISNN (2)
The prediction of protein interactions is an important problem in post–genomic biology. In this paper, we present an association rule mining method for protein interaction prediction. A neural network is used to cluster protein interaction data and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69cbd519e95c6dcc8aa3ac7c8b3fb5a
https://doi.org/10.1007/11760191_101
https://doi.org/10.1007/11760191_101
Autor:
Byoung-Tak Zhang, Jae-Hong Eom
Publikováno v:
Neural Information Processing ISBN: 9783540464846
ICONIP (3)
ICONIP (3)
Prediction of protein interactions is one of the central problems in post-genomic biology. In this paper, we present an association rule-based protein interaction prediction method. We adopted neural network to cluster protein interaction data, and u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::100d29cede9c891402e2a99dded56222
https://doi.org/10.1007/11893295_4
https://doi.org/10.1007/11893295_4