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Results for: 2015

Bayesian nonparametric learning of contexts and activities from pervasive signals

C. Thuong

2015 / Doctor of Philosophy (Information Technology), School of Information Technology

Bayesian nonparametric multilevel modelling and applications

T. Vu

2015 / Doctor of Philosophy (Information Technology), School of Information Technology

Machine-learning prediction of cancer survival: a prospective study examining the impact of combining clinical and genomic data

D. M. Ashley, S. Gupta, T. Tran, W. Luo, P. K. Lorgelly, D. Thomas, S. B. Fox, S. Venkatesh

2015 / ASCO 2015: Proceedings of the 2015 Annual Meeting of American Society of Clinical Oncology

Predicting delays in software projects using networked classification

M. Choetkiertikul, H. Dam, T. Tran, A. Ghose

2015 / 30th IEEE/ACM International Conference on Automated Software Engineering

Characterization and prediction of issue-related risks in software projects

M. Choetkiertikul, H. Dam, T. Tran, A. Ghose

2015 / MSR

Topic Model Kernel Classification With Probabilistically Reduced Features

V. Nguyen, D. Phung, S. Venkatesh

2015 / Vol. 13, pp. 323 - 340 / Journal of Data Science

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams

O. Arandjelovic, D. Pham, S. Venkatesh

2015 / pp. 1 - 7 / 2015 International Joint Conference on Neural Networks (IJCNN)