20132019
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Research Output 2013 2019

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2019

GoGP: scalable geometric-based Gaussian process for online regression

Le, T., Nguyen, K., Nguyen, V., Nguyen, T. D. & Phung, D., 20 Jul 2019, In : Knowledge and Information Systems. p. 197-226 30 p.

Research output: Contribution to journalArticleResearchpeer-review

2018

A convolutional neural network-based model for knowledge base completion and its application to search personalization

Nguyen, D. Q., Nguyen, D. Q., Nguyen, T. D. & Phung, D., 2018, In : Semantic Web. 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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2017

Approximation vector machines for large-scale online learning

Le, T., Nguyen, T. D., Nguyen, V. & Phung, D., 1 Nov 2017, In : Journal of Machine Learning Research. 18, p. 1-55 55 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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2016

Graph-induced restricted Boltzmann machines for document modeling

Nguyen, T. D., Tran, T., Phung, D. & Venkatesh, S., Jan 2016, In : Information Sciences. 328, p. 60-75 16 p.

Research output: Contribution to journalArticleResearchpeer-review

2015

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)

Tran, T., Nguyen, T. D., Phung, D. & Venkatesh, S., Apr 2015, In : Journal of Biomedical Informatics. 54, p. 96-105 10 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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Stabilizing high-dimensional prediction models using feature graphs

Gopakumar, S., Tran, T., Nguyen, T. D., Phung, D. & Venkatesh, S., May 2015, In : IEEE Journal of Biomedical and Health Informatics. 19, 3, p. 1044-1052 9 p., 6887285.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
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