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Results for: 2016

Transfer Learning for Rare Cancer Problems via Discriminative Sparse Gaussian Graphical Model

B. Saha, S. Gupta, D. Phung, S. Venkatesh

2016 / pp. 537 - 542 / 23rd International Conference on Pattern Recognition (ICPR 2016)

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)

Streaming variational inference for dirichlet process mixtures

V. Huynh, D. Phung, S. Venkatesh

2016 / pp. 237 - 252 / Asian Conference on Machine Learning

Model-based classification and novelty detection for point pattern data

B. Vo, N. Tran, D. Phung, B. Vo

2016 / pp. 2622 - 2627 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Clustering for point pattern data

N. Tran, B. Vo, D. Phung, B. Vo

2016 / pp. 3174 - 3179 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol

J. Granich, A. Dass, M. Busacca, D. Moore, A. Anderson, S. Venkatesh, T. Duong, P. Vellanki, A. Richdale, D. Trembath, O.

2016 / Vol. 16, pp. 167 / BMC pediatrics

Budgeted Semi-supervised Support Vector Machine.

T. Le, P. Duong, M. Dinh, T. Nguyen, V. Nguyen, D. Q. Phung

2016 / UAI

Sparse adaptive multi-hyperplane machine

K. Nguyen, T. Le, V. Nguyen, D. Phung

2016 / pp. 27 - 39 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Nonparametric budgeted stochastic gradient descent

T. Le, V. Nguyen, T. Nguyen, D. Phung

2016 / pp. 654 - 572 / Artificial Intelligence and Statistics

Multiple kernel learning with data augmentation

K. Nguyen, T. Le, V. Nguyen, T. Nguyen, D. Phung

2016 / pp. 49 - 64 / Asian Conference on Machine Learning

Distributed data augmented support vector machine on spark

T. Nguyen, V. Nguyen, T. Le, D. Phung

2016 / pp. 498 - 503 / 2016 23rd International Conference on Pattern Recognition (ICPR)

Dual space gradient descent for online learning

T. Le, T. Nguyen, V. Nguyen, D. Phung

2016 / pp. 4583 - 4591 / Advances in Neural Information Processing Systems

SECC: Simultaneous extraction of context and community from pervasive signals

T. Nguyen, V. Nguyen, F. D. Salim, D. Phung

2016 / pp. 1 - 9 / IEEE International Conference on Pervasive Computing and Communications (PerCom)

Building Stable Predictive Models for Healthcare Applications: A Data-Driven Approach

I. Kamkar

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

Sparse representation for face images

X. Zhang

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

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)