Publications

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[ Author(Desc)] Title Type Year
G
Ghojogh, B. et al., 2019. Fitting A Mixture Distribution to Data: Tutorial. ArXiv preprint. arXiv:1901.06708.
Ghojogh, B., Karray, F. & Crowley, M., 2019. Hidden Markov Model: Tutorial.
Ghojogh, B. & Salehkaleybar, S., 2019. Distributed Voting in Beep Model. arXiv preprint arXiv:1910.09882.
Ghojogh, B. et al., 2019. Feature selection and feature extraction in pattern analysis: A literature review. arXiv preprint arXiv:1905.02845.
Ghojogh, B., Karray, F. & Crowley, M., 2019. Fisher and kernel fisher discriminant analysis: Tutorial. arXiv preprint arXiv:1906.09436.
Ghojogh, B. & Crowley, M., 2019. Linear and Quadratic Discriminant Analysis: Tutorial. arXiv preprint arXiv:1906.02590.
Ghojogh, B. et al., 2019. Quantized Fisher Discriminant Analysis. arXiv preprint arXiv:1909.03037.
Ghojogh, B. & Crowley, M., 2019. The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial. arXiv preprint arXiv:1905.12787.
Ghojogh, B. & Crowley, M., 2019. Unsupervised and supervised principal component analysis: Tutorial. arXiv preprint arXiv:1906.03148.
Ghojogh, B. & Crowley, M., 2019. Instance Ranking and Numerosity Reduction Using Matrix Decompositionand Subspace Learning. In Canadian Conference on Artificial Intelligence. Kingston, ON, Canada: Springer’s Lecture Notes in Artificial Intelligence., p. 12.
Ghojogh, B., Crowley, M. & Karray, F., 2019. Addressing the Mystery of Population Decline of the Rose-Crested Blue Pipit in a Nature Preserve using Data Visualization. ArXiv Preprint. ArXiv: 1903.06671.
Ghojogh, B., Karray, F. & Crowley, M., 2019. Eigenvalue and Generalized Eigenvalue Problems: Tutorial. ArXiv Preprint arXiv:1903.11240.
Ghojogh, B. & Crowley, M., 2018. Principal Sample Analysis for Data Reduction. In International Conference on Big Knowledge (ICBK) . Singapore: IEEE, 2018.
PSA_Ghojogh_Crowley_2018.pdf
Godaz, R. et al., Accepted. Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. In Asian Conference on Machine Learning (ACML). November. Virtual, p. 8. Available at: http://www.acml-conf.org/2021/conference/accepted-papers/81/.
2021-acml-godaz-vector.pdf
H
Hall, K. et al., 2012. Managing Invasive Species in a River Network. In Third International Conference on Computational Sustainability. Copenhagen, Denmark. Available at: http://www.cs.ubc.ca/ crowley/papers/compsust2012.pdf.
Houtman, R.M. et al., 2013. Allowing a wildfire to burn: Estimating the effect on future fire suppression costs. International Journal of Wildland Fire, 22(7), pp.871–882.
M
Ma, H. et al., 2020. Isolation Mondrian Forest for Batch and Online Anomaly Detection. IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2020. Available at: arXiv preprint arXiv:2003.03692.
imondrian.pdf
Maryam, S. et al., 2017. Application of Probabilistically-Weighted Graphs to Image-Based Diagnosis of Alzheimer's Disease using Diffusion MRI. In SPIE Medical Imaging Conference on Computer-Aided Diagnosis. March 3. Orlando, FL, United States: International Society for Optics and Photonics. Available at: http://dx.doi.org/10.1117/12.2254164.
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NekoeiQachkanloo, H. et al., 2019. Artificial Counselor System For Stock Investment. In Innovative Applications of Artificial Intelligence (IAAI-19). 27 January . IAAI-19 Conference, Honolulu, Hawaii, USA, 2019.: AAAI Press., p. 8. Available at: https://aaai.org/ojs/index.php/AAAI/article/view/5016.
StockInvestPaper_Final.pdf
P
Patitsas, E. et al., 2010. Circuits and logic in the lab : Toward a coherent picture of computation. In 15th Western Canadian Conference on Computing Education. Kelowna, BC, Canada. Available at: http://www.cs.ubc.ca/ crowley/papers/wccce2010.pdf.

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