Publications

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Author Title Type [ Year(Asc)]
Accepted
Sikaroudi, M. et al., Accepted. Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. In International Conference on Intelligent Systems and Computer Vision (ISCV 2020) . Fez-Morrocco (virtual): IEEE., p. 8. Available at: https://arxiv.org/abs/2007.02200.
2007.02200.pdf
2020
mltree.pdf papers2.pdf papers1.pdf Final Published Version
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
Akgun, S.Alperen et al., 2020. Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios. In 22nd International Conference on Multimodal Interaction (ICMI-2020). October. Utrecht, the Netherlands, p. 9.
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). 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20): IEEE Engineering in Medicine and Biology Society. Available at: https://embs.papercept.net/conferences/scripts/rtf/EMBC20_ContentListWeb_1.html#moat2-15_02.
2005.08629.pdf
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.
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
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.
Ghojogh, B. et al., 2019. Fitting A Mixture Distribution to Data: Tutorial. ArXiv preprint. arXiv:1901.06708.
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

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