Deakin Research

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Centre for Pattern Recognition and Data Analytics
School of Information Technology
Deakin University
Locked Bag 20000
GEELONG VIC 3220

Journal Articles

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[2014] [2013] [2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004] [2003] [2002] [2001] [2000] [1999-1995] [1994-1989]

2014

[1] Truyen Tran and Dinh Phung and Wei Luo and Svetha Venkatesh. Stabilized Sparse Ordinal Regression for Medical Risk Stratification. Knowledge and Information Systems, 2014.
[2] Truyen Tran and Wei Luo and Dinh Phung and Richard Harvey and Michael Berk and Richard Lee Kennedy and Svetha Venkatesh. Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments. BMC Psychiatry, 2014.
[3] Arandjelović, O.. Hallucinating optimal high-dimensional subspaces.. Pattern Recognition, 2014.
[4] Bidder, O. and Arandjelović, O. and Almutairi, F. and Shepard, E. and Lambertucci, S. and Wilson, R.. A risky business or a safe BET? A Fuzzy Set Event Tree for estimating hazard in biotelemetry studies.. Animal Behaviour, 2014.
[5] Arandjelović, O.. Infrared face recognition: a comprehensive review of methodologies and databases.. Pattern Recognition, 2014.
[6] Gupta, Sunil Kumar and Tran, Truyen and Luo, Wei and Phung, Dinh and Kennedy, Richard Lee and Broad, Adam and Campbell, David and Kipp, David and Singh, Madhu and Khasraw, Mustafa and Matheson, Leigh and Ashley, David M and Venkatesh, Svetha. Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry. BMJ Open (DOI:10.1136/bmjopen-2013-004007), 2014.
[7] Rana, Santu and Tran, Truyen and Luo, Wei and Phung, Dinh and Kennedy, Richard Lee and Venkatesh, Svetha. Predicting unplanned readmission after Myocardial Infarction from Routinely Collected Administrative Hospital Data. Australian Health Review, 2014.
[8] Luo, W. and Gallagher, M. and Loveday, B. and Ballantyne, S. and Connor, J. P. and Wiles, J.. Detecting contaminated birthdates using generalized additive models. BMC Bioinformatics, page 185, 2014.
[9] Vo, B-N and Vo, B-T and Phung, Dinh. Labeled Random Finite Sets and the Bayes Multi-target Tracking Filter. IEEE Transactions on Signal Processing, 2014.
[10] Thin Nguyen and Dinh Phung and Bo Dao and Svetha Venkatesh and Michael Berk. Affective and Content Analysis of Online Depression Communities. IEEE Transactions on Affective Computing, page (to appear), 2014.
[11] Shivapratap Gopakumar and Truyen Tran and Tu Dinh Nguyen and Dinh Phung and Svetha Venkatesh. Stabilizing highdimensional prediction models using feature graphs. IEEE Journal of Biomedical and Health Informatics, 2014.
[12] Vu Nguyen, Dinh Phung, and Svetha Venkatesh. Topic Model Kernel Classification With Probabilistically Reduced Features. Journal of Data Science, 2014.
[13] Pham, D. and Arandjelović, O. and Venkatesh, S.. Detection of dynamic background due to swaying movements from motion features.. IEEE Transactions on Image Processing, 2014.
[14] Arandjelović, O. and Pham, D. and Venkatesh, S.. Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams.. IEEE Transactions on Circuits and Systems for Video Technology, 2014.
[15] Arandjelović, O.. Discriminative Extended Canonical Correlation Analysis for Pattern Set Matching.. Machine Learning, 2014.
[16] Budhaditya Saha and Sunil Gupta and Dinh Phung and Svetha Venkatesh. Multiple Task Transfer Learning with Small Sample Sizes. Knowledge and Information Systems, 2014.

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29th May 2014