20132019
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Research Output 2013 2019

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

Sqn2Vec: learning sequence representation via sequential patterns with a gap constraint

Nguyen, D., Luo, W., Nguyen, T. D., Venkatesh, S. & Phung, D., 2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018 Dublin, Ireland, September 10–14, 2018 Proceedings, Part II. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham Switzerland: Springer, p. 569-584 16 p. (Lecture Notes in Computer Science ; vol. 11052 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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
File

A novel embedding model for knowledge base completion based on convolutional neural network

Quoc Nguyen, D., Nguyen, T. D., Nguyen, D. Q. & Phung, D., 2018, The 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference Volume 2 (Short Papers). Ji, H. & Stent, A. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 327–333 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Batch Normalized Deep Boltzmann Machines

Vu, H., Nguyen, T. D., Le, T., Luo, W. & Phung, D., 2018, Proceedings of Asian Conference on Machine Learning 2018. Zhu, J. & Takeuchi, I. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 359-374 16 p. (Proceedings of Machine Learning Research; vol. 95).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Bayesian Multi-Hyperplane Machine for pattern recognition

Nguyen, K., Le, T., Nguyen, T. D. & Phung, D., 2018, 2018 24th International Conference on Pattern Recognition (ICPR): Aug. 20 2018 to Aug. 24 2018 Beijing, China. Liu, C-L., Chellappa, R. & Pietikäinen, M. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 609-614 6 p. 8545139

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Clustering Induced Kernel Learning

Nguyen, K., Dam, N., Le, T., Nguyen, T. D. & Phung, D., 2018, Proceedings of Asian Conference on Machine Learning 2018. Zhu, J. & Takeuchi, I. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 129-144 16 p. (Proceedings of Machine Learning Research; vol. 95).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Open Access
File

Geometric enclosing networks

Le, T., Vu, H., Nguyen, T. D. & Phung, D., 2018, Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. Lang, J. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2355-2361 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Learning graph representation via frequent subgraphs

Nguyen, D., Luo, W., Nguyen, T. D., Venkatesh, S. & Phung, D., 2018, 2018 SIAM International Conference on Data Mining, May 3-5, 2018: San Diego Marriott Mission Valley, San Diego, California, USA. Ester, M. & Pedreschi, D. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 306-314 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

MGAN: training generative adversarial nets with multiple generators

Hoang, Q., Nguyen, T. D., Le, T. & Phung, D., 2018, 6th International Conference on Learning Representations, ICLR 2018. Murray, I., Ranzato, MA. & Vinyals, O. (eds.). Amherst MA USA: OpenReview, 24 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Robust Bayesian kernel machine via Stein variational gradient descent for big data

Nguyen, K., Le, T., Nguyen, T. D., Phung, D. & Webb, G. I., 19 Jul 2018, KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Lin, C-J. & Xiong, H. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2003-2011 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Trans2Vec: learning transaction embedding via items and frequent itemsets

Nguyen, D., Nguyen, T. D., Luo, W. & Venkatesh, S., 2018, Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018 Melbourne, VIC, Australia, June 3–6, 2018 Proceedings, Part III. Phung, D., Tseng, V. S., Webb, G. I., Ho, B., Ganji, M. & Rashidi, L. (eds.). Cham Switzerland: Springer, p. 361-372 12 p. (Lecture Notes in Computer Science ; vol. 10939).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2017

Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring

Nguyen, H., Maclagan, S. J., Nguyen, T. D., Nguyen, T., Flemons, P., Andrews, K., Ritchie, E. G. & Phung, D., 2017, Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017: Tokyo, Japan 19-21 October 2017. Washio, T. & Gama, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 40-49 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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
File

Dual discriminator generative adversarial nets

Nguyen, T. D., Le, T., Vu, H. & Phung, D., 2017, Advances in Neural Information Processing Systems 30 (NIPS 2017). Guyon, I., Luxburg, U. V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. & Garnett, R. (eds.). Maryland Heights MO USA: Morgan Kaufmann Publishers, Vol. 30. 11 p. (Advances in Neural Information Processing Systems).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Energy-based localized anomaly detection in video surveillance

Vu, H., Nguyen, T. D., Travers, A., Venkatesh, S. & Phung, D., 2017, Advances in Knowledge Discovery and Data Mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23–26, 2017, Proceedings, Part I. Kim, J., Shim, K., Cao, L., Lee, J-G., Lin, X. & Moon, Y-S. (eds.). Cham Switzerland: Springer, p. 641-653 13 p. (Lecture Notes in Computer Science ; vol. 10234 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

GoGP: fast online regression with Gaussian processes

Le, T., Nguyen, K., Nguyen, V., Nguyen, T. D. & Phung, D., 15 Dec 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Raghavan, V., Aluru, S., Karypis, G., Miele, L. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 257-266 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Large-scale online kernel learning with random feature reparameterization

Nguyen, T. D., Le, T., Bui, H. & Phung, D., 1 Jan 2017, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17). Sierra, C. (ed.). California USA: International Joint Conferences on Artificial Intelligence, p. 2543-2549 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Supervised restricted Boltzmann machines

Nguyen, T. D., Phung, D., Huynh, V. & Le, T., 2017, Conference on Uncertainty in Artifical Intelligence, UAI 2017: Sydney, Australia August 11-15, 2017. Elidan, G. & Kersting, K. (eds.). USA: AUAI Press, 10 p. 106

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
2016

Budgeted semi-supervised support vector machine

Le, T., Duong, P., Dinh, M., Nguyen, T. D., Nguyen, V. & Phung, D., 1 Jan 2016, Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Second Conference (2016). Ihler, A. & Janzing, D. (eds.). Corvallis OR USA: AUAI Press, p. 377-386 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Distributed data augmented support vector machine on Spark

Nguyen, T. D., Nguyen, V., Le, T. & Phung, D., 2016, 2016 23rd International Conference on Pattern Recognition (ICPR 2016). Davis, L., Del Bimbo, A. & C. Lovell, B. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 498-503 6 p. 7899683

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Dual space gradient descent for online learning

Le, T., Nguyen, T. D., Nguyen, V. & Phung, D., 2016, NIPS 2016 Proceedings: Advances in Neural Information Processing Systems (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Maryland Heights MO USA : Morgan Kaufmann Publishers, Vol. 29. 9 p. (Advances in Neural Information Processing Systems).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

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

Nonparametric budgeted stochastic gradient descent

Le, T., Nguyen, V., Nguyen, T. D. & Phung, D., 2016, Proceedings of Machine Learning Research: Artificial Intelligence and Statistics, 9-11 May 2016, Cadiz, Spain. Gretton, A. & C. Robert, C. (eds.). USA: Proceedings of Machine Learning Research (PMLR), Vol. 51. p. 564-572 9 p. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

One-pass logistic regression for label-drift and large-scale classification on distributed systems

Nguyen, V., Nguyen, T. D., Le, T., Venkatesh, S. & Phung, D., 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z-H. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1113-1118 6 p. 7837958

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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
File

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
File

Stabilizing sparse Cox model using statistic and semantic structures in electronic medical records

Gopakumar, S., Nguyen, T. D., Tran, T., Phung, D. & Venkatesh, S., 2015, Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia Conference, PAKDD 2015 Ho Chi Minh City, Vietnam, May 19–22, 2015 Proceedings, Part II. Cao, T., Lim, E-P., Zhou, Z-H., Ho, T-B., Cheung, D. & Motoda, H. (eds.). Cham Switzerland: Springer, p. 331-343 13 p. (Lecture Notes in Computer Science ; vol. 9078).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Tensor-variate Restricted Boltzmann Machines

Nguyen, T. D., Tran, T., Phung, D. & Venkatesh, S., 2015, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence. Bonet, B. & Koenig, S. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), Vol. 4. p. 2887-2893 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
2013

Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine

Nguyen, T. D., Tran, T., Phung, D. & Venkatesh, S., 2013, Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013 Gold Coast, Australia, April 14-17, 2013 Proceedings, Part I. Pei, J., S. Tseng, V., Cao, L., Motoda, H. & Xu, G. (eds.). Berlin Germany: Springer, p. 123-135 13 p. (Lecture Notes in Computer Science ; vol. 7818 , no. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Learning sparse latent representation and distance metric for image retrieval

Nguyen, T. D., Tran, T., Phung, D. & Venkatesh, S., 21 Oct 2013, 2013 IEEE International Conference on Multimedia and Expo, ICME 2013. 6607435. (Proceedings - IEEE International Conference on Multimedia and Expo).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review