Mark Crowley - RankMe

127 papers A* 7A 4B 5C 2Journal 77Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning When to Trust in Contextual Bandits. CoRR Majid Ghasemi, Mark Crowley
2026	J	`jnl`	Objective Decoupling in Social Reinforcement Learning: Recovering Ground Truth from Sycophantic Majorities. CoRR Majid Ghasemi, Mark Crowley
2026	J	`jnl`	View Invariant Learning for Vision-Language Navigation in Continuous Environments. IEEE Robotics Autom. Lett. Josh Qixuan Sun, Huaiyuan Weng, Xiaoying Xing, Chul Min Yeum, Mark Crowley
2025	J	`jnl`	Toward Virtuous Reinforcement Learning. CoRR Majid Ghasemi, Mark Crowley
2025	J	`jnl`	View Invariant Learning for Vision-Language Navigation in Continuous Environments. CoRR Josh Qixuan Sun, Xiaoying Xing, Huaiyuan Weng, Chul Min Yeum, Mark Crowley
2024	J	`jnl`	Disentanglement in Implicit Causal Models via Switch Variable. CoRR Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
2024	—	`conf`	Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs. Canadian AI Chris Beeler, Xinkai Li, Colin Bellinger, Mark Crowley, Maia Fraser, Isaac Tamblyn
2023	J	`jnl`	ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry. CoRR 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, Isaac Tamblyn
2023	—	`book`	Elements of Dimensionality Reduction and Manifold Learning Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
2023	A*	`conf`	Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. ICML Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
2023	J	`jnl`	Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting. CoRR Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley
2023	—	`conf`	Learning When to Observe: A Frugal Reinforcement Learning Framework for a High-Cost World. PKDD/ECML Workshops (4) Colin Bellinger, Isaac Tamblyn, Mark Crowley
2023	A	`conf`	Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. AAMAS Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2023	J	`jnl`	Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning. CoRR Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2023	J	`jnl`	Learning when to observe: A frugal reinforcement learning framework for a high-cost world. CoRR Colin Bellinger, Mark Crowley, Isaac Tamblyn
2023	A*	`conf`	Multi-Agent Advisor Q-Learning (Extended Abstract). IJCAI Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2023	J	`jnl`	Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios. IEEE Trans. Affect. Comput. Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn
2022	—	`conf`	Aggressive Driver Behavior Detection using Parallel Convolutional Neural Networks on Simulated and Real Driving Data. IOTSMS Zehra Camlica, Jim Quesenberry, Daniel Carballo, Mark Crowley
2022	—	`conf`	Balancing Information with Observation Costs in Deep Reinforcement Learning. Canadian AI Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn
2022	A*	`conf`	Decentralized Mean Field Games. AAAI Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
2022	J	`jnl`	Investigation of independent reinforcement learning algorithms in multi-agent environments. Frontiers Artif. Intell. Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
2022	J	`jnl`	Multi-Agent Advisor Q-Learning. J. Artif. Intell. Res. Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2022	J	`jnl`	On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2022	C	`conf`	Real-Time Pedestrian Detection Using Enhanced Representations from Light-Weight YOLO Network. CoDIT Shayan Shirahmad Gale Bagi, Behzad Moshiri, Hossein Gharaee Garakani, Mark Crowley, Pouya Mehrannia
2022	J	`jnl`	Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2022	—	`conf`	Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. Canadian AI Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2022	J	`jnl`	Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2022	J	`jnl`	Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios. CoRR Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn
2021	—	`conf`	Active Measure Reinforcement Learning for Observation Cost Minimization. Canadian AI Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
2021	—	`conf`	Analysis of Language Embeddings for Classification of Unstructured Pathology Reports. EMBC Aishwarya Krishna Allada, Yuanxin Wang, Veni Jindal, Morteza Babaie, Hamid R. Tizhoosh, Mark Crowley
2021	J	`jnl`	Decentralized Mean Field Games. CoRR Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
2021	J	`jnl`	Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment. CoRR Chris Beeler, Xinkai Li, Mark Crowley, Maia Fraser, Isaac Tamblyn
2021	J	`jnl`	Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Generative Locally Linear Embedding. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent Environments. CoRR Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley
2021	J	`jnl`	Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	—	`conf`	Magnification Generalization For Histopathology Image Embedding. ISBI Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2021	J	`jnl`	Magnification Generalization for Histopathology Image Embedding. CoRR Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2021	J	`jnl`	Multi-Agent Advisor Q-Learning. CoRR Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson, Mark Crowley
2021	A	`conf`	Partially Observable Mean Field Reinforcement Learning. AAMAS Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
2021	—	`conf`	Recognition of a Robot's Affective Expressions Under Conditions with Limited Visibility. INTERACT (3) Moojan Ghafurian, Sami Alperen Akgun, Mark Crowley, Kerstin Dautenhahn
2021	J	`jnl`	Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning. CoRR Colin Bellinger, Andriy Drozdyuk, Mark Crowley, Isaac Tamblyn
2021	J	`jnl`	Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2021	C	`conf`	Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. ACML Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
2021	J	`jnl`	Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds. CoRR Reza Godaz, Benyamin Ghojogh, Reshad Hosseini, Reza Monsefi, Fakhri Karray, Mark Crowley
2020	J	`jnl`	A review of machine learning applications in wildfire science and management. CoRR Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, Mark Crowley, Steve Taylor, Mike D. Flannigan
2020	J	`jnl`	Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling. CoRR Parisa Abdolrahim Poorheravi, Benyamin Ghojogh, Vincent C. Gaudet, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Active Measure Reinforcement Learning for Observation Cost Minimization. CoRR Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
2020	—	`conf`	Anomaly Detection and Prototype Selection Using Polyhedron Curvature. Canadian AI Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Anomaly Detection and Prototype Selection Using Polyhedron Curvature. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	—	`conf`	Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. ICIAR (2) Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	B	`conf`	Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. ICPR Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem. CoRR Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	—	`conf`	Deep Multi Agent Reinforcement Learning for Autonomous Driving. Canadian AI Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
2020	J	`jnl`	Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data. CoRR Juan Carrillo, Mark Crowley, Guangyuan Pan, Liping Fu
2020	—	`conf`	Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CDC Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers. CoRR Mohammad Hossein Basiri, Benyamin Ghojogh, Nasser L. Azad, Sebastian Fischmeister, Fakhri Karray, Mark Crowley
2020	B	`conf`	Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. IJCNN Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks. CoRR Benyamin Ghojogh, Milad Sikaroudi, Sobhan Shafiei, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2020	—	`conf`	Generalized Subspace Learning by Roweis Discriminant Analysis. ICIAR (1) Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions. CoRR Juan Carrillo, Mark Crowley
2020	B	`conf`	Isolation Mondrian Forest for Batch and Online Anomaly Detection. SMC Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley
2020	J	`jnl`	Isolation Mondrian Forest for Batch and Online Anomaly Detection. CoRR Haoran Ma, Benyamin Ghojogh, Maria N. Samad, Dongyu Zheng, Mark Crowley
2020	J	`jnl`	Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2020	—	`conf`	Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches. ISVC (1) Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches. CoRR Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor, Fakhri Karray, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Partially Observable Mean Field Reinforcement Learning. CoRR Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
2020	J	`jnl`	Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	—	`conf`	Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. Canadian AI Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
2020	J	`jnl`	Reinforcement Learning in a Physics-Inspired Semi-Markov Environment. CoRR Colin Bellinger, Rory Coles, Mark Crowley, Isaac Tamblyn
2020	J	`jnl`	Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. CoRR Juan Carrillo, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda
2020	J	`jnl`	Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley
2020	—	`conf`	Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. EMBC Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study. CoRR Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh, Sobhan Shafiei, Mark Crowley, Hamid R. Tizhoosh
2020	J	`jnl`	Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	—	`conf`	Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders. ICIAR (2) Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2020	B	`conf`	Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios. ICMI Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn
2020	—	`conf`	Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. ICIAR (2) Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2020	J	`jnl`	Weighted Fisher Discriminant Analysis in the Input and Feature Spaces. CoRR Benyamin Ghojogh, Milad Sikaroudi, Hamid R. Tizhoosh, Fakhri Karray, Mark Crowley
2019	A*	`conf`	Artificial Counselor System for Stock Investment. AAAI Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
2019	J	`jnl`	Artificial Counselor System for Stock Investment. CoRR Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
2019	—	`conf`	Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks. ECML/PKDD (3) Sushrut Bhalla, Matthew X. Yao, Jean-Pierre Hickey, Mark Crowley
2019	J	`jnl`	Eigenvalue and Generalized Eigenvalue Problems: Tutorial. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review. CoRR Benyamin Ghojogh, Maria N. Samad, Sayema Asif Mashhadi, Tania Kapoor, Wahab Ali, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Fisher and Kernel Fisher Discriminant Analysis: Tutorial. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Fitting A Mixture Distribution to Data: Tutorial. CoRR Benyamin Ghojogh, Aydin Ghojogh, Mark Crowley, Fakhri Karray
2019	—	`conf`	Image Structure Subspace Learning Using Structural Similarity Index. ICIAR (1) Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	—	`conf`	Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning. Canadian AI Benyamin Ghojogh, Mark Crowley
2019	J	`jnl`	Linear and Quadratic Discriminant Analysis: Tutorial. CoRR Benyamin Ghojogh, Mark Crowley
2019	—	`conf`	Locally Linear Image Structural Embedding for Image Structure Manifold Learning. ICIAR (1) Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Locally Linear Image Structural Embedding for Image Structure Manifold Learning. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	—	`conf`	Principal Component Analysis Using Structural Similarity Index for Images. ICIAR (1) Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Principal Component Analysis Using Structural Similarity Index for Images. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Quantized Fisher Discriminant Analysis. CoRR Benyamin Ghojogh, Ali Saheb Pasand, Fakhri Karray, Mark Crowley
2019	J	`jnl`	Roweis Discriminant Analysis: A Generalized Subspace Learning Method. CoRR Benyamin Ghojogh, Fakhri Karray, Mark Crowley
2019	—	`conf`	Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees. SciKnow@K-CAP Juan Manuel Carrillo Garcia, Daniel Garijo, Mark Crowley, Rober Carrillo, Yolanda Gil, Katherine Borda
2019	J	`jnl`	The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial. CoRR Benyamin Ghojogh, Mark Crowley
2019	A	`conf`	Training Cooperative Agents for Multi-Agent Reinforcement Learning. AAMAS Sushrut Bhalla, Sriram Ganapathi Subramanian, Mark Crowley
2019	J	`jnl`	Unsupervised and Supervised Principal Component Analysis: Tutorial. CoRR Benyamin Ghojogh, Mark Crowley
2018	J	`jnl`	Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program. AI Matters Eric Eaton, Sven Koenig, Claudia Schulz, Francesco Maurelli, John S. Y. Lee, Joshua Eckroth, Mark Crowley, Richard G. Freedman, Rogelio Enrique Cardona-Rivera, Tiago Machado, Tom Williams
2018	—	`conf`	Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. Canadian AI Sriram Ganapathi Subramanian, Mark Crowley
2018	—	`conf`	Decision Assist for Self-driving Cars. Canadian AI Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley
2018	—	`conf`	Principal Sample Analysis for Data Reduction. ICBK Benyamin Ghojogh, Mark Crowley
2018	J	`jnl`	Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images. Frontiers ICT Sriram Ganapathi Subramanian, Mark Crowley
2017	—	`conf`	Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI. Computer-Aided Diagnosis Syeda Maryam, Laura McCrackin, Mark Crowley, Yogesh Rathi, Oleg V. Michailovich
2017	J	`jnl`	Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator Program. CoRR Eric Eaton, Sven Koenig, Claudia Schulz, Francesco Maurelli, John Lee, Joshua Eckroth, Mark Crowley, Richard G. Freedman, Rogelio Enrique Cardona-Rivera, Tiago Machado, Tom Williams
2016	B	`conf`	Anomaly Detection Using Inter-Arrival Curves for Real-Time Systems. ECRTS Mahmoud Salem, Mark Crowley, Sebastian Fischmeister
2015	J	`jnl`	PAC optimal MDP planning with application to invasive species management. J. Mach. Learn. Res. Majid Alkaee Taleghan, Thomas G. Dietterich, Mark Crowley, Kim Hall, H. Jo Albers
2014	J	`jnl`	Using Equilibrium Policy Gradients for Spatiotemporal Planning in Forest Ecosystem Management. IEEE Trans. Computers Mark Crowley
2013	A*	`conf`	Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering. IJCAI David Poole, Mark Crowley
2013	A*	`conf`	PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs. AAAI Thomas G. Dietterich, Majid Alkaee Taleghan, Mark Crowley
2012	J	`jnl`	Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making CoRR Mark Crowley, John Nelson, David Poole
2011	A*	`conf`	Policy Gradient Planning for Environmental Decision Making with Existing Simulators. AAAI Mark Crowley, David Poole
2010	—	`conf`	Circuits and logic in the lab: toward a coherent picture of computation. WCCCE Elizabeth Patitsas, Kimberly D. Voll, Mark Crowley, Steven A. Wolfman
2009	A	`conf`	Seeing the Forest Despite the Trees: Large Scale Spatial-Temporal Decision Making. UAI Mark Crowley, John Nelson, David Poole
2007	—	`conf`	Adding Local Constraints to Bayesian Networks. Canadian AI Mark Crowley, Brent Boerlage, David Poole