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Publications in 2012

In Journal (refereed)

1. D. Wishart, T. Jewison, A. Guo, M. Wilson, C. Knox, Y. Liu, Y. Djoumbou, R. Mandal, F. Aziat, E. Dong, S. Bouatra, I. Sinelnikov, D. Arndt, J. Xia, P. Liu, F. Yallou, T. Bjorndahl, R. Perez-Pineiro, R. Eisner, F. Allen, V. Neveu, R. Greiner, A. Scalbert. "HMDB 3.0 - The Human Metabolome Database in 2013". Nucleic Acids Research (NAR), 41(Database), pp D801-7, November 2012. view
2. G. Sidhu, N. Asgarian, R. Greiner, M. Brown. "Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD". Frontiers in Systems Neuroscience, (ed: Michael Milham), 6(74), pp 17, October 2012. view
3. M. Brown, G. Sidhu, R. Greiner, N. Asgarian, M. Bastani, P. Silverstone, A. Greenshaw, S. Dursun. "ADHD-200 Global Competition: Diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements ". Frontiers in Systems Neuroscience, (ed: Michael Milham), 6(10.3389/fnsys.2012.00069), September 2012. view
4. D. Lizotte, R. Greiner, D. Schuurmans. "An Experimental Methodology for Response Surface Optimization Methods". Journal of Global Optimization, 53(4), pp 699-736, June 2012. view
5. D. Moulavi, M. Hajiloo, J. Sander, P. Halloran, R. Greiner. "Combining Gene Expression and Interaction Network Data to Improve Kidney Lesion Score Prediction". International Journal of Bioinformatics Research and Applications, 8(1/2), pp 54-66, January 2012. view
6. C. Stretch, T. Eastman, R. Mandal, R. Eisner, D. Wishart, M. Mourtzakis, C. Prado, S. Damaraju, R. Ball, R. Greiner, V. Baracos. "Prediction of skeletal muscle and fat mass in patients with advanced cancer using a metabolomic approach". Journal of Nutrition, January 2012. view

In Conference (refereed)

7. K. Abou-Moustafa, F. Ferrie. "A Note on Metric Properties of Some Divergence Measures. The Gaussian Case". Asian Conference on Machine Learning, (ed: Steven C.H. Hoi and Wray Buntine), pp 1-15, November 2012. PDFview
8. M. Hajiloo, B. Damavandi, M. Hooshsadat, F. Sangi, J. Mackey, C. Cass, R. Greiner, S. Damaraju. "Breast Cancer Prediction Using Genome Wide Single Nucleotide Polymorphism Data". Biotechnology and Bioinformatics Symposium, October 2012. PDFview
9. S. Ravanbakhsh, C. Yu, R. Greiner. "A Generalized Loop Correction Method for Approximate Inference in Graphical Models". International Conference on Machine Learning (ICML), July 2012. PDFview
10. X. Liu, P. Miller, U. Basu, N. Asgarian, R. Greiner, L. McMullen. "Using machine learning algorithms to detect cellular stress of Listeria monocytogenes from cDNA microarray data". RiboWest, June 2012. view

In Workshop

11. S. Ravanbakhsh, R. Greiner, B. Frey. "Training Restricted Boltzmann Machines by Perturbation". NIPS 2013 Workshop: Perturbations, Optimization and Statistics, December 2012. view

Other Categories

12. G. Sidhu. "Dimensionality Reduction for fMRI Diagnostic Systems". MSc Thesis, University of Alberta, August 2012. view
13. M. Hajiloo, R. Greiner, S. Damaraju. "Which Phenotypes Can be Predicted from a Genome Wide Scan of Single Nucleotide Polymorphisms (SNPs): Ethnicity vs. Breast Cancer". Poster, Intelligent Systems for Molecular Biology (ISMB), July 2012. view
14. B. Damavandi. "Estimating the Overlap of Top Instances in Lists Ranked by Correlation to Label". MSc Thesis, University of Alberta, January 2012. PDFview
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