Publications
Principal Sample Analysis for Data Reduction. In International Conference on Big Knowledge (ICBK) . Singapore: IEEE, 2018.
, 2018. PSA_Ghojogh_Crowley_2018.pdfQuantile–Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution. Machine Learning with Applications (MLWA), 6.
, 2021. Quantized Fisher Discriminant Analysis. arXiv preprint arXiv:1909.03037.
, 2019. 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. 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.
, 2020. mltree.pdf papers2.pdf papers1.pdf Final Published VersionSeeing the Forest Despite the Trees : Large Scale Spatial-Temporal Decision Making. In Conference on Uncertainty in Artificial Intelligence (UAI09). Montreal, Canada, pp. 126–134. Available at: http://www.cs.ubc.ca/ crowley/papers/uai09-mark-crowley.pdf.
, 2009. Seeing the Forest Despite the Trees : Large Scale Spatial-Temporal Decision Making. In Conference on Uncertainty in Artificial Intelligence (UAI09). Montreal, Canada, pp. 126–134. Available at: http://www.cs.ubc.ca/ crowley/papers/uai09-mark-crowley.pdf.
, 2009. 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.
, 2019. 9bd7de50122a9a7b5a778e04e21f2c02b2c6.pdfShielding Against Conditioning Side-Effects in Graphical Models. University of British Columbia.
, 2005. 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.
, 2020. 2005.08629.pdfTheoretical 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.
, 2020. The theory behind overfitting, cross validation, regularization, bagging, and boosting: tutorial. arXiv preprint arXiv:1905.12787.
, 2019. Training Cooperative Agents for Multi-Agent Reinforcement Learning. In Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019). Montreal, Canada.
, 2019. Unsupervised and supervised principal component analysis: Tutorial. arXiv preprint arXiv:1906.03148.
, 2019. 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.
, 2020. Using equilibrium policy gradients for spatiotemporal planning in forest ecosystem management. IEEE Transactions on Computers, 63(1), pp.142–154. Available at: http://doi.ieeecomputersociety.org/10.1109/TC.2013.113.
, 2014. Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models from Satellite Images. Frontiers in ICT: Environmental Informatics. Available at: https://www.frontiersin.org/articles/10.3389/fict.2018.00006/abstract.
, 2018. 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/.
, Accepted. 2021-acml-godaz-vector.pdfWeighted Fisher Discriminant Analysisin the Input and Feature Spaces. In International Conference on Image Analysis and Recognition (ICIAR). Póvoa de Varzim, Portugal (virtual): Springer.
, 2020.