Publications

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[ Author(Desc)] Title Type Year
C
Crowley, M. et al., 2007. Adding Local Constraints to Bayesian Networks. In Advances in Artificial Intelligence. Canadian AI Conference, Montreal, Quebec, Canada, 2007.: Springer Berlin Heidelberg, pp. 344–355. Available at: http://www.springerlink.com/content/u1j205nhr750m717/.
Crowley, M., 2005. Shielding Against Conditioning Side-Effects in Graphical Models. University of British Columbia.
Crowley, M., 2004. Evaluating Influence Diagrams. Unpublished Working Paper.
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Dietterich, T.G., Taleghan, M.A. & Crowley, M., 2013. PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2013). Bellevue, WA, USA, p. 7. Available at: http://www.aaai.org/ocs/index.php/AAAI/AAAI13/paper/view/6478.
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blueskyideasoneaai.pdf
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Garcia, J.Manuel Car et al., 2019. Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. In Third International Workshop on Capturing Scientific Knowledge (SciKnow19). Los Angeles, California, USA, pp. 1–6. Available at: https://www.semanticscholar.org/paper/Semantic-Workflows-and-Machine-Learning-for-the-of-Garcia-Garijo/cb059bd7de50122a9a7b5a778e04e21f2c02b2c6.
9bd7de50122a9a7b5a778e04e21f2c02b2c6.pdf
Ghafurian, M. et al., 2021. Recognition of a Robot's Affective Expressions under Conditions with Limited Visibility. In 18th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction (INTERACT 2021). September. Bari, Italy, p. 22.
2021-softimp-ghojogh-generative.pdf
2021-smc-ghojogh-generative_locally_linear_embedding.pdf
Ghojogh, B., Karray, F. & Crowley, M., 2021. Quantile–Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution. Machine Learning with Applications (MLWA), 6.
Ghojogh, B., Karray, F. & Crowley, M., 2020. Anomaly Detection and Prototype Selection Using Polyhedron Curvature. In Canadian Conference on Artificial Intelligence. Ottawa, Canada: Springer, p. 10.
Ghojogh, B., Karray, F. & Crowley, M., 2020. Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. In International Conference on Image Analysis and Recognition. Póvoa de Varzim, Portugal (virtual): Springer.
Ghojogh, B. et al., 2020. Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. In IEEE International Joint Conference on Neural Networks (IJCNN). Glasgow, UK: IEEE.
Ghojogh, B., Karray, F. & Crowley, M., 2020. Generalized Subspace Learning by Roweis Discriminant Analysis. In International Conference on Image Analysis and Recognition. Póvoa de Varzim, Portugal (virtual): Springer. Available at: http://arxiv.org/abs/1910.05437.
Ghojogh, B., Karray, F. & Crowley, M., 2020. Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. In International Conference on Image Analysis and Recognition. Póvoa de Varzim, Portugal (virtual): Springer.
Ghojogh, B. et al., 2020. Weighted Fisher Discriminant Analysisin the Input and Feature Spaces. In International Conference on Image Analysis and Recognition (ICIAR). Póvoa de Varzim, Portugal (virtual): Springer.
Ghojogh, B., Karray, F. & Crowley, M., 2019. Principal Component Analysis Using Structural Similarity Index for Images. In International Conference on Image Analysis and Recognition (ICIAR-19). Waterloo, Canada: Springer, Cham, pp. 77–88.
Ghojogh, B., Karray, F. & Crowley, M., 2019. Image Structure Subspace Learning Using Structural Similarity Index. In International Conference on Image Analysis and Recognition (ICIAR-19). Waterloo, Canada: Springer, Cham, pp. 33–44.
Ghojogh, B., Karray, F. & Crowley, M., 2019. Locally Linear Image Structural Embedding for Image Structure Manifold Learning. In International Conference on Image Analysis and Recognition (ICIAR-19). Waterloo, Canada: Springer, Cham, pp. 126–138.

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