Publication List by Topic

List of all Publications Grouped by Selected Reseach Topic

Jump to Topic: anomaly-detection ~ bayesian-networks ~ causality ~ computational-sustainability ~ deep-learning ~ digital-chemistry ~ dimensionality-reduction ~ education-research ~ ensemble-methods ~ fuzzy-logic ~ game-theory ~ human-robot-interaction ~ image-processing ~ marl ~ mean-field-theory ~ multi-agent-systems ~ pac-learning ~ probabilistic-interence ~ reinforcement-learning

anomaly-detection

  1. iMondrian
    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
  2. Anomaly Detection and Prototype Selection Using Polyhedron Curvature
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2020
  3. 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
  4. 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

bayesian-networks

  1. Adding Local Constraints to Bayesian Networks
    Crowley, Mark, Boerlage, Brent, Poole, David, Kobti, Ziad, and Wu, Dan
    In Advances in Artificial Intelligence 2007
  2. msc-thesis
    Shielding Against Conditioning Side-Effects in Graphical Models
    Crowley, Mark Anthony
    2005

causality

  1. Prediction and Causality: How Can Machine Learning be Used for COVID-19?
    Crowley, Mark
    In "What Needs to be done in order to Curb the Spread of Covid-19: Exposure Notification, Legal Considerations, and Statistical Modeling", a Conference on Data and Privacy during a Global Pandemic 2021

computational-sustainability

  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. 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
  3. MCTS+A3C
    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
  4. Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images
    Ganapathi Subramanian, Sriram, and Crowley, Mark
    Frontiers in ICT 2018
  5. 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
  6. Using equilibrium policy gradients for spatiotemporal planning in forest ecosystem management
    Crowley, Mark
    IEEE Transactions on Computers 2014
  7. 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
  8. Policy Gradient Optimization Using Equilibrium Policies for Spatial Planning Domains
    Crowley, Mark
    In 13th INFORMS Computing Society Conference 2013
  9. 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
  10. phd-thesis
    Equilibrium Policy Gradients for Spatiotemporal Planning
    Crowley, Mark
    2011
  11. 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

deep-learning

  1. MASc-Thesis
    Histopathology Image Analysis and NLP for Digital Pathology.
    Allada, Aishwarya Allada
    2021
  2. Multi-Advisor-QL
    Multi-Agent Advisor Q-Learning
    Ganapathi Subramanian, Sriram, Larson, Kate, Taylor, Mathew, and Crowley, Mark
    Journal of Artificial Intelligence Research (JAIR) 2022
  3. NLP-DigiPath
    Analysis of Language Embeddings for Classification of Unstructured Pathology Reports
    Allada, Aishwarya Krishna, Wang, Yuanxin, Jindal, Veni, Babee, Morteza, Tizhoosh, H.R., and Crowley, Mark
    In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2021
  4. Amrl
    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
  5. 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
  6. 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
  7. Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks
    Bhalla, Sushrut, Yao, Matthew, Hickey, Jean-Pierre, and Crowley, Mark
    2019
  8. 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
  9. Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images
    Ganapathi Subramanian, Sriram, and Crowley, Mark
    Frontiers in ICT 2018
  10. 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

digital-chemistry

  1. SubWorld
    Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment
    Beeler, Chris, Li, Xinkai, Crowley, Mark, Fraser, Maia, and Tamblyn, Isaac
    IEEE Intelligent Systems 2022
  2. Amrl
    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
  3. 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
  4. Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks
    Bhalla, Sushrut, Yao, Matthew, Hickey, Jean-Pierre, and Crowley, Mark
    2019

dimensionality-reduction

  1. Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA
    Ghojogh, Benyamin, Ghodsi, Ali, Karray, Fakhri, and Crowley, Mark
    In Canadian Conference on Artificial Intelligence 2022
  2. Data Reduction Algorithms in Machine Learning and Data Science
    Ghojogh, Benyamin
    2021
  3. QQE
    Quantile–Quantile Embedding for distribution transformation and manifold embedding with ability to choose the embedding distribution
    Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
    Machine Learning with Applications (MLWA) 2021

education-research

  1. 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
  2. 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

ensemble-methods

    fuzzy-logic

    1. 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

    game-theory

    1. Mean Field MARL
      Decentralized Mean Field Games
      Ganapathi Subramanian, Sriram, Taylor, Mathew, Crowley, Mark, and Poupart, Pascal
      In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022) 2022
    2. 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

    human-robot-interaction

    1. Affective Search and Rescue Robots to Improve Robot-to-Human Communication in Robot-Assisted Rescue Teams
      Akgun, Sami Alperen, Ghafurian, Moojan, Crowley, Mark, and Dautenhahn, Kerstin
      IEEE Transactions on Affective Computing 2022
    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. 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
    4. Emotion Modelling for Robot to Human Communication in Search and Rescue Contexts
      Akgun, Sami Alperen, Ghafurian, Moojan, Crowley, Mark, and Dautenhahn, Kerstin
      IEEE Transactions on Affective Computing (IEEE TAC) 2021
    5. 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

    image-processing

    1. MASc-Thesis
      Histopathology Image Analysis and NLP for Digital Pathology.
      Allada, Aishwarya Allada
      2021
    2. NLP-DigiPath
      Analysis of Language Embeddings for Classification of Unstructured Pathology Reports
      Allada, Aishwarya Krishna, Wang, Yuanxin, Jindal, Veni, Babee, Morteza, Tizhoosh, H.R., and Crowley, Mark
      In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2021
    3. 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
    4. QQE
      Quantile–Quantile Embedding for distribution transformation and manifold embedding with ability to choose the embedding distribution
      Ghojogh, Benyamin, Karray, Fakhri, and Crowley, Mark
      Machine Learning with Applications (MLWA) 2021
    5. MCTS+A3C
      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
    6. Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images
      Ganapathi Subramanian, Sriram, and Crowley, Mark
      Frontiers in ICT 2018
    7. 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
    8. 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

    marl

    1. Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
      Ganapathi Subramanian, Sriram, Taylor, Mathew, Larson, Kate, and Crowley, Mark
      In International Joint Conference on Artificial Intelligence (IJCAI) 2022
    2. Mean Field MARL
      Decentralized Mean Field Games
      Ganapathi Subramanian, Sriram, Taylor, Mathew, Crowley, Mark, and Poupart, Pascal
      In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022) 2022
    3. MARLEmpircal
      Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
      Lee, Ken Ming, Ganapathi Subramanian, Sriram, and Crowley, Mark
      Frontiers in Artificial Intelligence (Machine Learning and Artificial Intelligence) 2021
    4. MARLEmpircal
      Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
      Lee, Ken Ming, Ganapathi Subramanian, Sriram, and Crowley, Mark
      In NeurIPS 2021 Deep Reinforcement Learning Workshop 2021
    5. 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
    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. 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
    8. 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

    mean-field-theory

    1. Mean Field MARL
      Decentralized Mean Field Games
      Ganapathi Subramanian, Sriram, Taylor, Mathew, Crowley, Mark, and Poupart, Pascal
      In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022) 2022
    2. 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

    multi-agent-systems

    1. Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
      Ganapathi Subramanian, Sriram, Taylor, Mathew, Larson, Kate, and Crowley, Mark
      In International Joint Conference on Artificial Intelligence (IJCAI) 2022
    2. Mean Field MARL
      Decentralized Mean Field Games
      Ganapathi Subramanian, Sriram, Taylor, Mathew, Crowley, Mark, and Poupart, Pascal
      In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022) 2022
    3. Multi-Advisor-QL
      Multi-Agent Advisor Q-Learning
      Ganapathi Subramanian, Sriram, Larson, Kate, Taylor, Mathew, and Crowley, Mark
      Journal of Artificial Intelligence Research (JAIR) 2022

    pac-learning

    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. 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

    probabilistic-interence

      reinforcement-learning

      1. Balancing Information with Observation Costs in Deep Reinforcement Learning
        Bellinger, Colin, Drozdyuk, Andriy, Crowley, Mark, and Tamblyn, Isaac
        In Canadian Conference on Artificial Intelligence 2022
      2. Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
        Ganapathi Subramanian, Sriram, Taylor, Mathew, Larson, Kate, and Crowley, Mark
        In International Joint Conference on Artificial Intelligence (IJCAI) 2022
      3. SubWorld
        Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment
        Beeler, Chris, Li, Xinkai, Crowley, Mark, Fraser, Maia, and Tamblyn, Isaac
        IEEE Intelligent Systems 2022
      4. Scientific Discovery and the Cost of Measurement – Balancing Information and Cost in Reinforcement Learning
        Bellinger, Colin, Drozdyuk, Andriy, Crowley, Mark, and Tamblyn, Isaac
        In 1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) 2022
      5. Mean Field MARL
        Decentralized Mean Field Games
        Ganapathi Subramanian, Sriram, Taylor, Mathew, Crowley, Mark, and Poupart, Pascal
        In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022) 2022
      6. MARLEmpircal
        Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
        Lee, Ken Ming, Ganapathi Subramanian, Sriram, and Crowley, Mark
        Frontiers in Artificial Intelligence (Machine Learning and Artificial Intelligence) 2021
      7. MARLEmpircal
        Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments
        Lee, Ken Ming, Ganapathi Subramanian, Sriram, and Crowley, Mark
        In NeurIPS 2021 Deep Reinforcement Learning Workshop 2021
      8. Multi-Advisor-QL
        Multi-Agent Advisor Q-Learning
        Ganapathi Subramanian, Sriram, Larson, Kate, Taylor, Mathew, and Crowley, Mark
        Journal of Artificial Intelligence Research (JAIR) 2022
      9. Prediction and Causality: How Can Machine Learning be Used for COVID-19?
        Crowley, Mark
        In "What Needs to be done in order to Curb the Spread of Covid-19: Exposure Notification, Legal Considerations, and Statistical Modeling", a Conference on Data and Privacy during a Global Pandemic 2021
      10. 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
      11. 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
      12. Amrl
        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
      13. Deep Multi Agent Reinforcement Learning for Autonomous Driving
        Bhalla, Sushrut, Ganapathi Subramanian, Sriram, and Crowley, Mark
        In Canadian Conference on Artificial Intelligence 2020
      14. 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
      15. 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
      16. 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
      17. Policy Gradient Optimization Using Equilibrium Policies for Spatial Planning Domains
        Crowley, Mark
        In 13th INFORMS Computing Society Conference 2013
      18. phd-thesis
        Equilibrium Policy Gradients for Spatiotemporal Planning
        Crowley, Mark
        2011