publications

Recent published work out of the lab.

Also see:

2021

  1. Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling
    Poorheravi*, Parisa, Ghojogh*, Benyamin, Gaudet, Vincent, Karray, Fakhri, and Crowley, Mark
    Journal of Computational Vision and Imaging Systems 2021
  2. Integrating Affective Expressions into the Search and Rescue Context in order to Improve Non-Verbal Human-Robot Interaction
    Akgun, Sami Alperen, Ghafurian, Moojan, Crowley, Mark, and Dautenhahn, Kerstin
    In Workshop on Exploring Applications for Autonomous Non-Verbal Human-Robot Interactions (HRI) 2021
  3. Magnification Generalization for Histopathology Image Embedding
    Sikaroudi, Milad, Ghojogh, Benyamin, Karray, Fakhri, Crowley, Mark, and Tizhoosh, H. R.
    In IEEE International Symposium on Biomedical Imaging (ISBI) 2021
  4. Partially Observable Mean Field Reinforcement Learning
    Ganapathi Subramanian, Sriram, Taylor, Matthew, Crowley, Mark, and Poupart, Pascal
    In Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) 2021
  5. Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
    Sikaroudi, Milad, Ghojogh, Benyamin, Karray, Fakhri, Crowley, Mark, and Tizhoosh, H. R.
    In 25th International Conference on Pattern Recognition (ICPR) 2021
  6. Active Measure Reinforcement Learning for Observation Cost Minimization: A framework for minimizing measurement costs in reinforcement learning
    Bellinger, Colin, Coles, Rory, Crowley, Mark, and Tamblyn, Isaac
    In Canadian Conference on Artificial Intelligence 2021
  7. Recognition of a Robot’s Affective Expressions under Conditions with Limited Visibility
    Ghafurian, Moojan, Akgun, Sami Alperen, Crowley, Mark, and Dautenhahn, Kerstin
    In 18th International Conference promoted by the IFIP Technical Committee 13 on Human–Computer Interaction (INTERACT 2021) 2021
  8. Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    Machine Learning with Applications (MLWA) 2021

2020

  1. Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios
    Akgun, Sami Alperen, Ghafurian, Moojan, Crowley, Mark, and Dautenhahn, Kerstin
    In Proceedings of the 2020 International Conference on Multimodal Interaction (ICMI) 2020
  2. Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches
    Sikaroudi, Milad, Ghojogh, Benyamin, Safarpoor, Amir, Karray, Fakhri, Crowley, Mark, and Tizhoosh, H. R.
    In 15th International Symposium on Visual Computing (ISCV 2020) 2020
  3. Isolation Mondrian Forest for Batch and Online Anomaly Detection
    Ma, Haoran, Ghojogh, Benyamin, Samad, Maria N, Zheng, Dongyu, and Crowley, Mark
    In IEEE International Conference on Systems, Man, and Cybernetics (IEEE-SMC-2020) 2020
  4. Multi-Level Collaborative Control System With Dual Neural Network Planning For Autonomous Vehicle Control In A Noisy Environment
    Du, Zhiyuan, Lull, Joseph, Malhan, Rajesh, Ganapathi Subramanian, Sriram, Bhalla, Sushrut, Sambee, Jaspreet, and Crowley, Mark
    2020
  5. A review of machine learning applications in wildfire science and management
    Jain, Piyush, Coogan, Sean CP, Ganapathi Subramanian, Sriram, Crowley, Mark, Taylor, Steve, and Flannigan, Mike D
    Environmental Reviews 2020
  6. Deep Multi Agent Reinforcement Learning for Autonomous Driving
    Bhalla, Sushrut, Ganapathi Subramanian, Sriram, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2020
  7. Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study
    Sikaroudi, Milad, Safarpoor, Amir, Ghojogh, Benyamin, Shafiei, Sobhan, Crowley, Mark, and Tizhoosh, HR
    In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’20) 2020
  8. Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers
    Basiri, Mohammad Hossein, Ghojogh, Benyamin, Azad, Nasser L, Fischmeister, Sebastian, Karray, Fakhri, and Crowley, Mark
    In Proceeding of the 59th IEEE Conference on Decision and Control (CDC-2020) 2020
  9. Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
    Ghojogh, Benyamin, Sikaroudi, Milad, Shafiei, Sobhan, Tizhoosh, H.R., Karray, Fakhri, and Crowley, Mark
    In IEEE International Joint Conference on Neural Networks (IJCNN) 2020
  10. Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
    Ghojogh, Benyamin, Sikaroudi, Milad, Tizhoosh, H.R., Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
  11. Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
  12. Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
  13. Generalized Subspace Learning by Roweis Discriminant Analysis
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-2020) 2020
  14. Anomaly Detection and Prototype Selection Using Polyhedron Curvature
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2020
  15. Reinforcement Learning in a Physics-Inspired Semi-Markov Environment
    Bellinger, Colin, Coles, Rory, Crowley, Mark, and Tamblyn, Isaac
    In Canadian Conference on Artificial Intelligence 2020

2019

  1. Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees
    Carrillo, Juan, Garijo, Daniel, Crowley, Mark, Gil, Yolanda, and Borda, Katherine
    In Third International Workshop on Capturing Scientific Knowledge (Sciknow 2019), Collocated with the tenth International Conference on Knowledge Capture (K-CAP) 2019
  2. Comparison of Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
    Carrillo, J., Crowley, M., Pan, G., and Fu, L.
    In TAC-ITS Canada Joint Conference 2019
  3. Instance Ranking and Numerosity Reduction Using Matrix Decompositionand Subspace Learning
    Ghojogh, Benyamin, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2019
  4. Learning Multi-Agent Communication with Reinforcement Learning
    Bhalla, Sushrut, Ganapathi Subramanian, Sriram, and Crowley, Mark
    In Conference on Reinforcement Learning and Decision Making (RLDM-19) 2019
  5. Locally Linear Image Structural Embedding for Image Structure Manifold Learning
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-19) 2019
  6. Image Structure Subspace Learning Using Structural Similarity Index
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-19) 2019
  7. Principal Component Analysis Using Structural Similarity Index for Images
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In International Conference on Image Analysis and Recognition (ICIAR-19) 2019
  8. Artificial Counselor System For Stock Investment
    Nekoei Qachkanloo, Hadi, Ghojogh, Benyamin, Pasand, Ali Saheb, and Crowley, Mark
    In Innovative Applications of Artificial Intelligence (IAAI-19) 2019
  9. Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks
    Bhalla, Sushrut, Yao, Matthew, Hickey, Jean-Pierre, and Crowley, Mark
    2019
  10. Training Cooperative Agents for Multi-Agent Reinforcement Learning
    Bhalla, Sushrut, Ganapathi Subramanian, Sriram, and Crowley, Mark
    In Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019) 2019
  11. Integration of Roadside Camera Images and Weather Data for monitoring Winter Road Surface Conditions
    Carrillo, Juan, and Crowley, Mark
    In Canadian Association of Road Safety Professionals (CARSP) Conference 2019

2018

  1. A Complementary Approach to Improve WildFire Prediction Systems.
    Subramanian, Sriram Ganapathi, and Crowley, Mark
    In Neural Information Processing Systems (AI for social good workshop) 2018
  2. Combining MCTS and A3C for prediction of spatially spreading processes in forest wildfire settings
    Ganapathi Subramanian, Sriram, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2018
  3. Principal Sample Analysis for Data Reduction
    Ghojogh, Benyamin, and Crowley, Mark
    In 2018 IEEE International Conference on Big Knowledge (ICBK) 2018
  4. Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program
    Eaton, Eric, Koenig, Sven, Schulz, Claudia, Maurelli, Francesco, Lee, John, Eckroth, Joshua, Crowley, Mark, Freedman, Richard G, Cardona-Rivera, Rogelio E, Machado, Tiago, and Williams, Tom
    2018
  5. Decision Assist for Self-Driving Cars
    Ganapathi Subramanian, Sriram, Sambee, Jaspreet Singh, Ghojogh, Benyamin, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2018
  6. Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images
    Ganapathi Subramanian, Sriram, and Crowley, Mark
    Frontiers in ICT 2018

2017

  1. Learning Forest Wildfire Dynamics from Satellite Images Using Reinforcement Learning
    Subramanian, Sriram Ganapathi, and Crowley, Mark
    In Conference on Reinforcement Learning and Decision Making 2017
  2. Big Metadata : Machine Learning on Encrypted Communications
    Fernick, Jennifer, and Crowley, Mark
    In RSA Conference 2017
  3. Application of probabilistically-weighted graphs to image-based diagnosis of Alzheimer’s disease using diffusion MRI
    Maryam, Syeda, McCrackin, Laura, Crowley, Mark, Rathi, Yogesh, and Michailovich, Oleg
    In Proceedings of SPIE 101324, Medical Imaging 2017 : Computer-Aided Diagnosis 2017
  4. AI Education Through Real World Problems
    Crowley, Mark
    In The Seventh Symposium on Educational Advances in Artificial Intellgience. 2017

2016

  1. Inter-Arrival Curves for Multi-Mode and Online Anomaly Detection
    Salem, Mahmoud, Crowley, Mark, and Fischmeister, Sebastian
    In Euromicro Conference on Real-Time Systems 2016 - Work-in-Progress Proceedings 2016
  2. Anomaly Detection Using Inter-Arrival Curves for Real-time Systems
    Salem, Mahmoud, Crowley, Mark, and Fischmeister, Sebastian
    In 2016 28th Euromicro Conference on Real-Time Systems 2016

2015

  1. PAC Optimal MDP Planning with Application to Invasive Species Management
    Taleghan, Majid Alkaee, Dietterich, Thomas G., Crowley, Mark, Hall, Kim, and Albers, H. Jo
    Journal of Machine Learning Research 2015
  2. Answering Simple Questions About Spatially Spreading Systems
    Crowley, Mark
    In 2015 Summer Solstice: 7th International Conference on Discrete Models of Complex Systems 2015

2014

  1. Using equilibrium policy gradients for spatiotemporal planning in forest ecosystem management
    Crowley, Mark
    IEEE Transactions on Computers 2014

2014

  1. Using equilibrium policy gradients for spatiotemporal planning in forest ecosystem management
    Crowley, Mark
    IEEE Transactions on Computers 2014

2013

  1. Allowing a wildfire to burn: Estimating the effect on future fire suppression costs
    Houtman, Rachel M., Montgomery, Claire A., Gagnon, Aaron R., Calkin, David E., Dietterich, Thomas G., McGregor, Sean, and Crowley, Mark
    International Journal of Wildland Fire 2013
  2. PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs
    Dietterich, Thomas G, Alkaee Taleghan, Majid, and Crowley, Mark
    In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2013) 2013
  3. Cyclic causal models with discrete variables: Markov chain equilibrium semantics and sample ordering
    Poole, David, and Crowley, Mark
    In IJCAI International Joint Conference on Artificial Intelligence 2013
  4. Policy Gradient Optimization Using Equilibrium Policies for Spatial Planning Domains
    Crowley, Mark
    In 13th INFORMS Computing Society Conference 2013

2012

  1. Managing Invasive Species in a River Network
    Hall, Kim, Alkaee Taleghan, Majid, Albers, Heidi J., Dietterich, Thomas, and Crowley, Mark
    In Third International Conference on Computational Sustainability 2012

2011

  1. Policy gradient planning for environmental decision making with existing simulators
    Crowley, Mark, and Poole, David
    In Proceedings of the National Conference on Artificial Intelligence 2011
  2. Equilibrium Policy Gradients for Spatiotemporal Planning
    Crowley, Mark
    2011

2010

  1. Circuits and logic in the lab : Toward a coherent picture of computation
    Patitsas, Elizabeth, Voll, Kimberly, Crowley, Mark, and Wolfman, Steven
    In 15th Western Canadian Conference on Computing Education 2010

2009

  1. Seeing the Forest Despite the Trees : Large Scale Spatial-Temporal Decision Making
    Crowley, Mark, Nelson, John, and Poole, David
    In Conference on Uncertainty in Artificial Intelligence (UAI09) 2009