Zobrazeno 1 - 10
of 49
pro vyhledávání: '"GUANGXU XUN"'
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S16, Pp 1-10 (2019)
Abstract Background Sleep is a complex and dynamic biological process characterized by different sleep patterns. Comprehensive sleep monitoring and analysis using multivariate polysomnography (PSG) records has achieved significant efforts to prevent
Externí odkaz:
https://doaj.org/article/838a6ce5ba54489e8b67912ff7787eb8
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:5993-6006
Inferring brain-effective connectivity networks from neuroimaging data has become a very hot topic in neuroinformatics and bioinformatics. In recent years, the search methods based on Bayesian network score have been greatly developed and become an e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7632c7ec258437685f45ab64728a9141
https://doi.org/10.1109/tnnls.2021.3072149
https://doi.org/10.1109/tnnls.2021.3072149
Publikováno v:
Natural Language Engineering. 28:519-535
This paper describes gft (general fine-tuning), a little language for deep nets, introduced at an ACL-2022 tutorial. gft makes deep nets accessible to a broad audience including non-programmers. It is standard practice in many fields to use statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c3f0e1a826e7cdd9f9d08efd8233ffe
https://doi.org/10.1017/s1351324922000237
https://doi.org/10.1017/s1351324922000237
Publikováno v:
Bioinformatics. 37:2190-2197
Motivation Many real-world biomedical interactions such as ‘gene-disease’, ‘disease-symptom’ and ‘drug-target’ are modeled as a bipartite network structure. Learning meaningful representations for such networks is a fundamental problem in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aa29e1f377a40957d4aa9df91a1e573
https://doi.org/10.1093/bioinformatics/btab067
https://doi.org/10.1093/bioinformatics/btab067
Publikováno v:
ACM Transactions on Knowledge Discovery from Data.
This paper 1 studies how to schedule hyperparameters to improve generalization of both centralized single-machine stochastic gradient descent (SGD) and distributed asynchronous SGD (ASGD). SGD augmented with momentum variants (e.g., heavy ball moment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb3c205e35d01fc3f0b71dd1d569455e
https://doi.org/10.1145/3544782
https://doi.org/10.1145/3544782
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 15:1-14
Indexing biomedical research articles with Medical Subject Headings (MeSH) can greatly facilitate biomedical research and information retrieval. Currently MeSH indexing is performed by human experts. To alleviate the time consumption and monetary cos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8c04fc26ea861650ce17ae3d3de078e
https://doi.org/10.1145/3421713
https://doi.org/10.1145/3421713
Publikováno v:
AAAI
Inferring effective connectivity between different brain regions from functional magnetic resonance imaging (fMRI) data is an important advanced study in neuroinformatics in recent years. However, current methods have limited usage in effective conne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c303fab82c30b1bdbafacfde7f4d1c28
https://doi.org/10.1609/aaai.v34i04.5921
https://doi.org/10.1609/aaai.v34i04.5921
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f88039a3a36ae60c4d3e39d1b968bab
https://doi.org/10.1109/bibm52615.2021.9669740
https://doi.org/10.1109/bibm52615.2021.9669740
Publikováno v:
ACM Transactions on Knowledge Discovery from Data; Feb2023, Vol. 17 Issue 2, p1-37, 37p
Publikováno v:
KDD
Pre-trained concept representations are essential to many biomedical text mining and natural language processing tasks. As such, various representation learning approaches have been proposed in the literature. More recently, contextualized embedding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cb8b9bcbea79266e452e1811bf1257b
https://doi.org/10.1145/3447548.3467118
https://doi.org/10.1145/3447548.3467118