Publications
] , 2021. Generative Locally Linear Embedding. Available at: https://arxiv.org/abs/2104.01525.
2021-smc-ghojogh-generative_locally_linear_embedding.pdf, 2019. Fitting A Mixture Distribution to Data: Tutorial. ArXiv preprint. arXiv:1901.06708.
, 2019. Unsupervised and supervised principal component analysis: Tutorial. arXiv preprint arXiv:1906.03148.
, 2019. The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial. arXiv preprint arXiv:1905.12787.
, 2019. Quantized Fisher Discriminant Analysis. arXiv preprint arXiv:1909.03037.
, 2019. Linear and Quadratic Discriminant Analysis: Tutorial. arXiv preprint arXiv:1906.02590.
, 2019. Fisher and kernel fisher discriminant analysis: Tutorial. arXiv preprint arXiv:1906.09436.
, 2019. Feature selection and feature extraction in pattern analysis: A literature review. arXiv preprint arXiv:1905.02845.
, 2019. Distributed Voting in Beep Model. arXiv preprint arXiv:1910.09882.
, 2019. Eigenvalue and Generalized Eigenvalue Problems: Tutorial. ArXiv Preprint arXiv:1903.11240.
, 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.
, 2004. Evaluating Influence Diagrams. Unpublished Working Paper.
, 2011. Equilibrium Policy Gradients for Spatiotemporal Planning. University of British Columbia. Available at: http://hdl.handle.net/2429/38971.
, 2005. Shielding Against Conditioning Side-Effects in Graphical Models. University of British Columbia.
, 2020. Multi-Level Collaborative Control System With Dual Neural Network Planning For Autonomous Vehicle Control In A Noisy Environment. , US11131992B2(US Patent Office). Available at: https://patents.google.com/patent/US11131992B2/en.
patent-design.png, 2021. Generative locally linear embedding: A module for manifold unfolding and visualization. Software Impacts, 9, p.3.
2021-softimp-ghojogh-generative.pdf, 2021. Quantile–Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution. Machine Learning with Applications (MLWA), 6.
, 2021. Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. Journal of Computational Vision and Imaging Systems, 6, p.5. Available at: https://openjournals.uwaterloo.ca/index.php/vsl/article/view/3534.
, 2020. A review of machine learning applications in wildfire science and management. Environmental Reviews, 28(3), p.73. Available at: https://www.nrcresearchpress.com/doi/10.1139/er-2020-0019#.X1jbKtNKhTY.
mltree.pdf papers2.pdf papers1.pdf Final Published Version
