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Employment (2)

University of Waterloo: Waterloo, ON, CA

2015-01 to present | Assistant Professor (Electrical and Computer Engineering)
Employment
Source: Self-asserted source
Mark Crowley

Oregon State University: Corvalis, OR, US

2012-01-15 to 2014-08-31 | Postdoctoral Scholar (Electrical Engineering and Computer Science)
Employment
Source: Self-asserted source
Mark Crowley

Education and qualifications (2)

University of British Columbia: Vancouver, BC, CA

2005-09 to 2011-04 | Ph.D. (Computer Science)
Education
Source: Self-asserted source
Mark Crowley

University of British Columbia: Vancouver, BC, CA

2003-09-01 to 2005-08-31 | M.Sc. (Computer Science)
Education
Source: Self-asserted source
Mark Crowley

Professional activities (1)

Canadian Artificial Intelligence Association: Toronto, Ontario, CA

2021-07-01 to present | Secretary
Service
Source: Self-asserted source
Mark Crowley

Works (50 of 72)

Items per page:
Page 1 of 2

Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios

IEEE Transactions on Affective Computing
2023-10-01 | Journal article
DOI: 10.1109/TAFFC.2022.3221922
Contributors: Sami Alperen Akgun; Moojan Ghafurian; Mark Crowley; Kerstin Dautenhahn
Source: check_circle
Crossref

Aggressive Driver Behavior Detection using Parallel Convolutional Neural Networks on Simulated and Real Driving Data

9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS)
2022 | Conference paper
URI:

https://youtu.be/ORSPRSEJ5NQ
Contributors: Zehra Camlica; Jim Quesenberry; Daniel Carballo; Mark Crowley
Source: Self-asserted source
Mark Crowley

Balancing Information with Observation Costs in Deep Reinforcement Learning

Proceedings of the Canadian Conference on Artificial Intelligence
2022 | Conference paper
URI:

https://caiac.pubpub.org/pub/0jmy7gpd
Contributors: Bellinger, Colin; Drozdyuk, Andriy; Crowley, Mark; Tamblyn, Isaac
Source: Self-asserted source
Mark Crowley

Decentralized Mean Field Games

Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2022)
2022 | Conference paper
DOI: https://doi.org/10.1609/aaai.v36i9.21176
Contributors: Ganapathi Subramanian, Sriram; Taylor, Matthew; Crowley, Mark; Poupart, Pascal
Source: Self-asserted source
Mark Crowley

Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments

Frontiers in Artificial Intelligence
2022 | Journal article
DOI: 10.3389/frai.2022.805823
Contributors: Lee, Ken Ming; Ganapathi Subramanian, Sriram; Crowley, Mark; Alberto Marchesi
Source: Self-asserted source
Mark Crowley

Multi-Agent Advisor Q-Learning

Journal of Artificial Intelligence Research (JAIR)
2022 | Journal article
DOI: https://doi.org/10.1613/jair.1.13445
Contributors: Ganapathi Subramanian, Sriram; Larson, Kate; Taylor, Matthew; Crowley, Mark
Source: Self-asserted source
Mark Crowley

Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning

1st Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE)
2022 | Conference paper
Contributors: Colin Bellinger; Andriy Drozdyuk; Mark Crowley; Isaac Tamblyn
Source: Self-asserted source
Mark Crowley

Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA

Canadian Conference on Artificial Intelligence
2022 | Conference paper
URI:

https://caiac.pubpub.org/pub/7eqtuyyc
Contributors: Ghojogh, Benyamin; Ghodsi, Ali; Karray, Fakhri; Crowley, Mark
Source: Self-asserted source
Mark Crowley

Active Measure Reinforcement Learning for Observation Cost Minimization: A framework for minimizing measurement costs in reinforcement learning

Canadian Conference on Artificial Intelligence (CAI-2021)
2021 | Conference paper
Source: Self-asserted source
Mark Crowley

Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem

25th International Conference on Pattern Recognition (ICPR)
2021 | Conference paper
Source: Self-asserted source
Mark Crowley

Magnification Generalization for Histopathology Image Embedding

IEEE International Symposium on Biomedical Imaging (ISBI)
2021 | Conference paper
Source: Self-asserted source
Mark Crowley

Partially Observable Mean Field Reinforcement Learning

Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems
2021 | Conference paper
Source: Self-asserted source
Mark Crowley

Quantile–Quantile Embedding for distribution transformation and manifold embedding with ability to choose the embedding distribution

Machine Learning with Applications
2021-12 | Journal article
DOI: 10.1016/j.mlwa.2021.100088
Contributors: Benyamin Ghojogh; Fakhri Karray; Mark Crowley
Source: check_circle
Crossref

Generative locally linear embedding: A module for manifold unfolding and visualization

Software Impacts
2021-08 | Journal article
DOI: 10.1016/j.simpa.2021.100105
Contributors: Benyamin Ghojogh; Ali Ghodsi; Fakhri Karray; Mark Crowley
Source: check_circle
Crossref

A review of machine learning applications in wildfire science and management

Environmental Reviews
2020 | Journal article
Source: Self-asserted source
Mark Crowley

Anomaly Detection and Prototype Selection Using Polyhedron Curvature

Canadian Conference on Artificial Intelligence
2020 | Conference paper
DOI: 10.1007/978-3-030-47358-7_23
Source: Self-asserted source
Mark Crowley

Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces

International Conference on Image Analysis and Recognition (ICIAR-2020)
2020 | Conference paper
DOI: 10.1007/978-3-030-50516-5_2
Source: Self-asserted source
Mark Crowley

Deep Multi Agent Reinforcement Learning for Autonomous Driving

Canadian Conference on Artificial Intelligence
2020 | Conference paper
DOI: 10.1007/978-3-030-47358-7_7
Source: Self-asserted source
Mark Crowley

Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers

Proceeding of the 59th IEEE Conference on Decision and Control (CDC-2020)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

IEEE International Joint Conference on Neural Networks (IJCNN)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Generalized Subspace Learning by Roweis Discriminant Analysis

International Conference on Image Analysis and Recognition (ICIAR-2020)
2020 | Conference paper
DOI: 10.1007/978-3-030-50347-5_29
Source: Self-asserted source
Mark Crowley

Isolation Mondrian Forest for Batch and Online Anomaly Detection

IEEE International Conference on Systems, Man, and Cybernetics (IEEE-SMC-2020)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches

15th International Symposium on Visual Computing (ISCV 2020)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Reinforcement Learning in a Physics-Inspired Semi-Markov Environment

Canadian Conference on Artificial Intelligence (CCAI-20)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study

International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders

International Conference on Image Analysis and Recognition (ICIAR-2020)
2020 | Conference paper
Source: Self-asserted source
Mark Crowley

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces

International Conference on Image Analysis and Recognition (ICIAR-2020)
2020 | Conference paper
DOI: 10.1007/978-3-030-50516-5_1
Source: Self-asserted source
Mark Crowley

Artificial Counselor System For Stock Investment

Innovative Applications of Artificial Intelligence (IAAI-19)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks

European Conference on Machine Learning (ECML-19)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Comparison of Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data

TAC-ITS Canada Joint Conference
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Image Structure Subspace Learning Using Structural Similarity Index

International Conference on Image Analysis and Recognition (ICIAR-19)
2019 | Conference paper
DOI: 10.1007/978-3-030-27202-9_3
Source: Self-asserted source
Mark Crowley

Instance Ranking and Numerosity Reduction Using Matrix Decompositionand Subspace Learning

Canadian Conference on Artificial Intelligence
2019 | Conference paper
DOI: 10.1007/978-3-030-18305-9_13
Source: Self-asserted source
Mark Crowley

Integration of Roadside Camera Images and Weather Data for monitoring Winter Road Surface Conditions

Canadian Association of Road Safety Professionals CARSP Conference
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Learning Multi-Agent Communication with Reinforcement Learning

Conference on Reinforcement Learning and Decision Making (RLDM-19)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Locally Linear Image Structural Embedding for Image Structure Manifold Learning

International Conference on Image Analysis and Recognition (ICIAR-19)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Principal Component Analysis Using Structural Similarity Index for Images

International Conference on Image Analysis and Recognition (ICIAR-19)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees

Third International Workshop on Capturing Scientific Knowledge (Sciknow 2019), Collocated with the tenth International Conference on Knowledge Capture (K-CAP)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Training Cooperative Agents for Multi-Agent Reinforcement Learning

Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019)
2019 | Conference paper
Source: Self-asserted source
Mark Crowley

Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program

AI Matters
2018 | Journal article
Source: Self-asserted source
Mark Crowley

Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings

Canadian Conference on Artificial Intelligence
2018 | Conference paper
Source: Self-asserted source
Mark Crowley

Decision Assist For Self-Driving Cars

Canadian Conference on Artificial Intelllgence
2018 | Conference paper
DOI: 10.1007/978-3-319-89656-4_44
Source: Self-asserted source
Mark Crowley

Principal Sample Analysis for Data Reduction

2018 IEEE International Conference on Big Knowledge (ICBK)
2018 | Conference paper
Source: Self-asserted source
Mark Crowley

Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models from Satellite Images

Frontiers in ICT
2018 | Journal article
DOI: 10.3389/FICT.2018.00006
Source: Self-asserted source
Mark Crowley

AI Education Through Real World Problems

The Seventh Symposium on Educational Advances in Artificial Intellgience.
2017 | Conference paper
Source: Self-asserted source
Mark Crowley

AI Education Through Real World Problems

The Seventh Symposium on Educational Advances in Artificial Intellgience.
2017 | Conference paper
Source: Self-asserted source
Mark Crowley

Big Metadata : Machine Learning on Encrypted Communications

RSA Conference
2017 | Conference paper
Source: Self-asserted source
Mark Crowley

Learning Forest Wildfire Dynamics from Satellite Images Using Reinforcement Learning

Conference on Reinforcement and Decision Making
2017 | Conference paper
Source: Self-asserted source
Mark Crowley

Application of probabilistically-weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI

Proceedings of the SPIE
2017-03 | Conference paper
DOI: 10.1117/12.2254164
Source: Self-asserted source
Mark Crowley

Inter-Arrival Curves for Multi-Mode and Online Anomaly Detection

Euromicro Conference on Real-Time Systems 2016 - Work-in-Progress Proceedings
2016 | Conference paper
Source: Self-asserted source
Mark Crowley

Inter-Arrival Curves for Multi-Mode and Online Anomaly Detection

Euromicro Conference on Real-Time Systems 2016 - Work-in-Progress Proceedings
2016 | Conference paper
Source: Self-asserted source
Mark Crowley
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