Adding Local Constraints to Bayesian Networks. - Mark Crowley 001; Brent Boerlage; David Poole 001 (Canadian AI, 2007)

Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making. - Mark Crowley 001; John Nelson; David Poole 001 (UAI, 2009)

Circuits and logic in the lab: toward a coherent picture of computation. - Elizabeth Patitsas; Kimberly D. Voll; Mark Crowley 001; Steven A. Wolfman (WCCCE, 2010)

Policy Gradient Planning for Environmental Decision Making with Existing Simulators. - Mark Crowley 001; David Poole 001 (AAAI, 2011)

PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. - Thomas G. Dietterich; Majid Alkaee Taleghan; Mark Crowley 001 (AAAI, 2013)

Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering. - David Poole 001; Mark Crowley 001 (IJCAI, 2013)

Using Equilibrium Policy Gradients for Spatiotemporal Planning in Forest Ecosystem Management. - Mark Crowley 001 (IEEE Trans. Computers, 2014)

PAC optimal MDP planning with application to invasive species management. - Majid Alkaee Taleghan; Thomas G. Dietterich; Mark Crowley 001; Kim Hall; H. Jo Albers (J. Mach. Learn. Res., 2015)

Anomaly Detection Using Inter-Arrival Curves for Real-Time Systems. - Mahmoud Salem; Mark Crowley 001; Sebastian Fischmeister (ECRTS, 2016)

Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. - Syeda Maryam; Laura McCrackin; Mark Crowley 001; Yogesh Rathi; Oleg V. Michailovich (Computer-Aided Diagnosis, 2017)

Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. - Sriram Ganapathi Subramanian; Mark Crowley 001 (Canadian AI, 2018)

Decision Assist for Self-driving Cars. - Sriram Ganapathi Subramanian; Jaspreet Singh Sambee; Benyamin Ghojogh; Mark Crowley 001 (Canadian AI, 2018)

Principal Sample Analysis for Data Reduction. - Benyamin Ghojogh; Mark Crowley 001 (ICBK, 2018)

Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. - Eric Eaton; Sven Koenig; Claudia Schulz 001; Francesco Maurelli; John S. Y. Lee; Joshua Eckroth; Mark Crowley 001; Richard G. Freedman; Rogelio Enrique Cardona-Rivera; Tiago Machado; Tom Williams 001 (AI Matters, 2018)

Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images. - Sriram Ganapathi Subramanian; Mark Crowley 001 (Frontiers ICT, 2018)

Artificial Counselor System for Stock Investment. - Hadi NekoeiQachkanloo; Benyamin Ghojogh; Ali Saheb Pasand; Mark Crowley 001 (AAAI, 2019)

Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. - Benyamin Ghojogh; Mark Crowley 001 (Canadian AI, 2019)

Training Cooperative Agents for Multi-Agent Reinforcement Learning. - Sushrut Bhalla; Sriram Ganapathi Subramanian; Mark Crowley 001 (AAMAS, 2019)

Image Structure Subspace Learning Using Structural Similarity Index. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2019)

Principal Component Analysis Using Structural Similarity Index for Images. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2019)

Locally Linear Image Structural Embedding for Image Structure Manifold Learning. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2019)

Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. - Juan Manuel Carrillo Garcia; Daniel Garijo; Mark Crowley 001; Rober Carrillo; Yolanda Gil; Katherine Borda (SciKnow@K-CAP, 2019)

Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks. - Sushrut Bhalla; Matthew X. Yao; Jean-Pierre Hickey; Mark Crowley 001 (ECML/PKDD (3), 2019)

Fitting A Mixture Distribution to Data: Tutorial. - Benyamin Ghojogh; Aydin Ghojogh; Mark Crowley 001; Fakhri Karray (CoRR, 2019)

Eigenvalue and Generalized Eigenvalue Problems: Tutorial. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. - Benyamin Ghojogh; Maria N. Samad; Sayema Asif Mashhadi; Tania Kapoor; Wahab Ali; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. - Benyamin Ghojogh; Mark Crowley 001 (CoRR, 2019)

Linear and Quadratic Discriminant Analysis: Tutorial. - Benyamin Ghojogh; Mark Crowley 001 (CoRR, 2019)

Unsupervised and Supervised Principal Component Analysis: Tutorial. - Benyamin Ghojogh; Mark Crowley 001 (CoRR, 2019)

Fisher and Kernel Fisher Discriminant Analysis: Tutorial. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Quantized Fisher Discriminant Analysis. - Benyamin Ghojogh; Ali Saheb Pasand; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Roweis Discriminant Analysis: A Generalized Subspace Learning Method. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2019)

Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. - Colin Bellinger; Rory Coles; Mark Crowley 001; Isaac Tamblyn (Canadian AI, 2020)

Deep Multi Agent Reinforcement Learning for Autonomous Driving. - Sushrut Bhalla; Sriram Ganapathi Subramanian; Mark Crowley 001 (Canadian AI, 2020)

Anomaly Detection and Prototype Selection Using Polyhedron Curvature. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (Canadian AI, 2020)

Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. - Mohammad Hossein Basiri; Benyamin Ghojogh; Nasser L. Azad; Sebastian Fischmeister; Fakhri Karray; Mark Crowley 001 (CDC, 2020)

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. - Milad Sikaroudi; Amir Safarpoor; Benyamin Ghojogh; Sobhan Shafiei; Mark Crowley 001; Hamid R. Tizhoosh (EMBC, 2020)

Generalized Subspace Learning by Roweis Discriminant Analysis. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (1), 2020)

Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. - Benyamin Ghojogh; Milad Sikaroudi; Hamid R. Tizhoosh; Fakhri Karray; Mark Crowley 001 (ICIAR (2), 2020)

Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios. - Sami Alperen Akgun; Moojan Ghafurian; Mark Crowley 001; Kerstin Dautenhahn (ICMI, 2020)

Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. - Milad Sikaroudi; Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ICPR, 2020)

Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. - Benyamin Ghojogh; Milad Sikaroudi; Sobhan Shafiei; Hamid R. Tizhoosh; Fakhri Karray; Mark Crowley 001 (IJCNN, 2020)

Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. - Milad Sikaroudi; Benyamin Ghojogh; Amir Safarpoor; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISVC (1), 2020)

Isolation Mondrian Forest for Batch and Online Anomaly Detection. - Haoran Ma; Benyamin Ghojogh; Maria N. Samad; Dongyu Zheng; Mark Crowley 001 (SMC, 2020)

A review of machine learning applications in wildfire science and management. - Piyush Jain; Sean C. P. Coogan; Sriram Ganapathi Subramanian; Mark Crowley 001; Steve Taylor; Mike D. Flannigan (CoRR, 2020)

Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. - Juan Carrillo; Daniel Garijo; Mark Crowley 001; Rober Carrillo; Yolanda Gil; Katherine Borda (CoRR, 2020)

Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data. - Juan Carrillo; Mark Crowley 001; Guangyuan Pan; Liping Fu (CoRR, 2020)

Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions. - Juan Carrillo; Mark Crowley 001 (CoRR, 2020)

Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. - Parisa Abdolrahim Poorheravi; Benyamin Ghojogh; Vincent C. Gaudet; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Locally Linear Embedding and its Variants: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2020)

Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. - Reza Godaz; Benyamin Ghojogh; Reshad Hosseini; Reza Monsefi; Fakhri Karray; Mark Crowley 001 (ACML, 2021)

Active Measure Reinforcement Learning for Observation Cost Minimization. - Colin Bellinger; Rory Coles; Mark Crowley 001; Isaac Tamblyn (Canadian AI, 2021)

Partially Observable Mean Field Reinforcement Learning. - Sriram Ganapathi Subramanian; Matthew E. Taylor; Mark Crowley 001; Pascal Poupart (AAMAS, 2021)

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. - Aishwarya Krishna Allada; Yuanxin Wang 001; Veni Jindal; Morteza Babaie; Hamid R. Tizhoosh; Mark Crowley 001 (EMBC, 2021)

Recognition of a Robot's Affective Expressions Under Conditions with Limited Visibility. - Moojan Ghafurian; Sami Alperen Akgun; Mark Crowley 001; Kerstin Dautenhahn (INTERACT (3), 2021)

Magnification Generalization For Histopathology Image Embedding. - Milad Sikaroudi; Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001; Hamid R. Tizhoosh (ISBI, 2021)

Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Generative Locally Linear Embedding. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2021)

Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning. - Colin Bellinger; Andriy Drozdyuk; Mark Crowley 001; Isaac Tamblyn (CoRR, 2021)

Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment. - Chris Beeler; Xinkai Li; Mark Crowley 001; Maia Fraser; Isaac Tamblyn (CoRR, 2021)

Generative locally linear embedding: A module for manifold unfolding and visualization. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (Softw. Impacts, 2021)

Decentralized Mean Field Games. - Sriram Ganapathi Subramanian; Matthew E. Taylor; Mark Crowley 001; Pascal Poupart (AAAI, 2022)

Balancing Information with Observation Costs in Deep Reinforcement Learning. - Colin Bellinger; Andriy Drozdyuk; Mark Crowley 001; Isaac Tamblyn (Canadian AI, 2022)

Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (Canadian AI, 2022)

Real-Time Pedestrian Detection Using Enhanced Representations from Light-Weight YOLO Network. - Shayan Shirahmad Gale Bagi; Behzad Moshiri; Hossein Gharaee Garakani; Mark Crowley 001; Pouya Mehrannia (CoDIT, 2022)

Aggressive Driver Behavior Detection using Parallel Convolutional Neural Networks on Simulated and Real Driving Data. - Zehra Camlica; Jim Quesenberry; Daniel Carballo; Mark Crowley 001 (IOTSMS, 2022)

Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. - Benyamin Ghojogh; Ali Ghodsi 001; Fakhri Karray; Mark Crowley 001 (CoRR, 2022)

On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. - Benyamin Ghojogh; Fakhri Karray; Mark Crowley 001 (CoRR, 2022)

Investigation of independent reinforcement learning algorithms in multi-agent environments. - Ken Ming Lee; Sriram Ganapathi Subramanian; Mark Crowley 001 (Frontiers Artif. Intell., 2022)

Multi-Agent Advisor Q-Learning. - Sriram Ganapathi Subramanian; Matthew E. Taylor; Kate Larson; Mark Crowley 001 (J. Artif. Intell. Res., 2022)

Elements of Dimensionality Reduction and Manifold Learning - Benyamin Ghojogh; Mark Crowley 001; Fakhri Karray; Ali Ghodsi 001 (Springer, 2023)

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. - Sriram Ganapathi Subramanian; Matthew E. Taylor; Kate Larson; Mark Crowley 001 (AAMAS, 2023)

Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. - Shayan Shirahmad Gale Bagi; Zahra Gharaee; Oliver Schulte; Mark Crowley 001 (ICML, 2023)

Multi-Agent Advisor Q-Learning (Extended Abstract). - Sriram Ganapathi Subramanian; Matthew E. Taylor; Kate Larson; Mark Crowley 001 (IJCAI, 2023)

Learning When to Observe: A Frugal Reinforcement Learning Framework for a High-Cost World. - Colin Bellinger; Isaac Tamblyn; Mark Crowley 001 (PKDD/ECML Workshops (4), 2023)

ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry. - Chris Beeler; Sriram Ganapathi Subramanian; Kyle Sprague; Nouha Chatti; Colin Bellinger; Mitchell Shahen; Nicholas Paquin; Mark Baula; Amanuel Dawit; Zihan Yang; Xinkai Li; Mark Crowley 001; et al. (CoRR, 2023)

Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios. - Sami Alperen Akgun; Moojan Ghafurian; Mark Crowley 001; Kerstin Dautenhahn (IEEE Trans. Affect. Comput., 2023)

Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs. - Chris Beeler; Xinkai Li; Colin Bellinger; Mark Crowley 001; Maia Fraser; Isaac Tamblyn (Canadian AI, 2024)

Disentanglement in Implicit Causal Models via Switch Variable. - Shayan Shirahmad Gale Bagi; Zahra Gharaee; Oliver Schulte; Mark Crowley 001 (CoRR, 2024)

View Invariant Learning for Vision-Language Navigation in Continuous Environments. - Josh Qixuan Sun; Xiaoying Xing; Huaiyuan Weng; Chul Min Yeum; Mark Crowley 001 (CoRR, 2025)