Publications

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Author Title Type [ Year(Asc)]
2020
Sikaroudi, M. et al., 2020. Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20). IEEE.
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.
Ma, H. et al., 2020. Isolation Mondrian Forest for Batch and Online Anomaly Detection. arXiv preprint arXiv:2003.03692.
Bhalla, S., Subramanian, S.Ganapathi & Crowley, M., 2020. Deep Multi Agent Reinforcement Learning for Autonomous Driving. In Canadian Conference on Artificial Intelligence. Spring, Lecture Notes in Artificial Intelligence, p. 17.
deep_multi_agent_reinforcement_learning_for_autonomous_driving-full.pdf
2019
NekoeiQachkanloo, H. et al., 2019. Artificial Counselor System For Stock Investment. In Innovative Applications of Artificial Intelligence (IAAI-19). Honolulu, Hawaii, USA: AAAI Press., p. 8.
Bhalla, S. et al., 2019. Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks. In European Conference on Machine Learning (ECML-19). Wurzburg, Germany.
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. & 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.
Bhalla, S., Subramanian, S.G. & Crowley, M., 2019. Learning Multi-Agent Communication with Reinforcement Learning. In Conference on Reinforcement Learning and Decision Making (RLDM-19). Montreal, Canada, p. 4.
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.
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.

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