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Analysing the History of Autism Spectrum Disorder using Topic Models

A. Beykikhoshk, O. Arandjelovic, S. Venkatesh, D. Phung

2016 / pp. 762 - 771 / Proceedings of the 3rd International Conference on Data Science and Advanced Analytics (DSAA '16)

Scalable Nonparametric Bayesian Multilevel Clustering

V. Huynh, D. Q. Phung, S. Venkatesh, X. Nguyen, M. D. Hoffman, H. Bui

2016 / pp. 289 - 298 / The 32th Conference on Uncertainty in Artificial Intelligence

Multiple Adverse Effects Prediction in Longitudinal Cancer Treatment

C. Li, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh

2016 / pp. 3156 - 3161 / Proceedings of the 23rd International Conference on Pattern Recognition

Cascade Bayesian Optimization

N. Dai, S. Gupta, S. Rana, V. Nguyen, S. Venkatesh, K. J. Deane, P. G. Sanders

2016 / pp. 268 - 280 / 29th Australasian Joint Conference on Artificial Intelligence (AI 2016)

Bayesian Nonparametric Multiple Instance Regression

S. Subramanian, S. Rana, S. Gupta, P. B. Sivakumar, S. Velayutham, S. Venkatesh

2016 / pp. 3661 - 3666 / Proceedings of the 23rd International Conference on Pattern Recognition (ICPR)

Sparse representation for face images

X. Zhang

2016 / Doctor of Philosophy (Information Technology), School of Information Technology

Applied Machine Learning for Personalised Early Intervention in Autism

P. Vellanki

2016 / Doctor of Philosophy (Information Technology), School of Information Technology

A deep language model for software code

H. Dam, T. Tran, T. Pham

2016 / pp. 1 - 4 / FSE 2016: Proceedings of the Foundations Software Engineering International Symposium; Workshop on Naturalness of Software (NL+SE)

DeepSoft: A vision for a deep model of software

H. Dam, T. Tran, J. Grundy, A. Ghose

2016 / FSE VaR (Vision paper)

Understanding Behavioral Differences between Short and Long-term Drinking Abstainers from Social Media

H. Harikumar, T. Nguyen, S. Gupta, S. Rana, R. Kaimal, S. Venkatesh

2016 / pp. 520 - 533 / Proceedings of the 12th International Conference on Advanced Data Mining and Applications (ADMA)

Computer assisted autism interventions for India

P. Vellanki, S. Greenhill, T. Duong, D. Phung, S. Venkatesh, J. Godwin, K. V. Achary, B. Varkey

2016 / pp. 618 - 622 / Proceedings of the 28th Australian Conference on Computer-Human Interaction

Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view

W. Luo, D. Phung, T. Tran, S. Gupta, S. Rana, C. Karmakar, A. Shilton, J. Yearwood, N. Dimitrova, T. Ho, O.

2016 / Vol. 18, pp. e323 / Journal of medical Internet research