Mark Crowley

Benyamin Ghojogh, Mark Crowley, Amir Safarpoor, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, Journal of Computational Vision and Imaging Systems.

Reinforcement Learning in a Physics-Inspired Semi-Markov Environment

Rory Coles, Isaac Tamblyn, Mark Crowley, 2020, Canadian Conference on AI.

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

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ICIAR.

Using Equilibrium Policy Gradients for Spatiotemporal Planning in Forest Ecosystem Management

Mark Crowley, Mark Crowley, 2014, IEEE Transactions on Computers.

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

Mark Crowley, Sriram Ganapathi Subramanian, Mark Crowley, 2018, Front. ICT.

Anomaly Detection and Prototype Selection Using Polyhedron Curvature

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, Canadian Conference on AI.

Weighted Fisher Discriminant Analysis in the Input and Feature Spaces

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ICIAR.

Image Structure Subspace Learning Using Structural Similarity Index

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ICIAR.

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

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ISVC.

The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial pdf

Benyamin Ghojogh, Mark Crowley, Mark Crowley, 2019, ArXiv.

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

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ICIAR.

Principal Sample Analysis for Data Reduction

Benyamin Ghojogh, Mark Crowley, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).

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

Mark Crowley, Sushrut Bhalla, Matthew Yao, 2019, ECML/PKDD.

Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ArXiv.

Training Cooperative Agents for Multi-Agent Reinforcement Learning

Mark Crowley, Sriram Ganapathi Subramanian, Sushrut Bhalla, 2019, AAMAS.

Locally Linear Image Structural Embedding for Image Structure Manifold Learning pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ICIAR.

Principal Component Analysis Using Structural Similarity Index for Images

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ICIAR.

Locally Linear Embedding and its Variants: Tutorial and Survey pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ArXiv.

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

Yolanda Gil, Daniel Garijo, Mark Crowley, 2020, SciKnow@K-CAP.

Decision Assist for Self-driving Cars

Jaspreet Singh Sambee, Benyamin Ghojogh, Mark Crowley, 2018, Canadian Conference on AI.

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

Liping Fu, Mark Crowley, Guangyuan Pan, 2019 .

Artificial Counselor System for Stock Investment

Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley, 2019, AAAI.

A review of machine learning applications in wildfire science and management pdf

Mark Crowley, Sriram Ganapathi Subramanian, Piyush Jain, 2020, Environmental Reviews.

Active Measure Reinforcement Learning for Observation Cost Minimization pdf

Rory Coles, Isaac Tamblyn, Mark Crowley, 2020, Canadian Conference on AI.

Roweis Discriminant Analysis: A Generalized Subspace Learning Method pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ArXiv.

Partially Observable Mean Field Reinforcement Learning pdf

Pascal Poupart, Matthew E. Taylor, Mark Crowley, 2020, AAMAS.

PAC optimal MDP planning with application to invasive species management

Thomas G. Dietterich, Mark Crowley, Majid Alkaee Taleghan, 2015, J. Mach. Learn. Res..

Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning

Benyamin Ghojogh, Mark Crowley, 2019, Canadian Conference on AI.

Fisher and Kernel Fisher Discriminant Analysis: Tutorial pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ArXiv.

Advanced technological implementation of construction and demolition waste recycling

Farid Sartipi, Mark Crowley, Alan Todhunter, 2019 .

Fitting A Mixture Distribution to Data: Tutorial pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ArXiv.

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

Mark Crowley, Juan Carrillo, Mark Crowley, 2020, ArXiv.

Magnification Generalization for Histopathology Image Embedding pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2021, ArXiv.

Dataset for Anomaly Detection Using Inter-Arrival Curves for Real-time Systems

Sebastian Fischmeister, Mark Crowley, Mahmoud Salem, 2016 .

Eigenvalue and Generalized Eigenvalue Problems: Tutorial pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2019, ArXiv.

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

Liping Fu, Mark Crowley, Guangyuan Pan, 2020, ArXiv.

Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering

David Poole, Mark Crowley, 2013, IJCAI.

Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ArXiv.

Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios

Moojan Ghafurian, Kerstin Dautenhahn, Mark Crowley, 2020, ICMI.

Adding Local Constraints to Bayesian Networks

David Poole, Mark Crowley, Brent Boerlage, 2007, Canadian Conference on AI.

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

Sebastian Fischmeister, Nasser L. Azad, Fakhri Karray, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Deep Multi Agent Reinforcement Learning for Autonomous Driving

Mark Crowley, Sriram Ganapathi Subramanian, Sushrut Bhalla, 2020, Canadian AI.

Generalized Subspace Learning by Roweis Discriminant Analysis

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2020, ICIAR.

Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey pdf

Fakhri Karray, Benyamin Ghojogh, Mark Crowley, 2021, ArXiv.

Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program

Eric Eaton, Richard G. Freedman, Rogelio Enrique Cardona-Rivera, 2018, SIGAI.

Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds pdf

Fakhri Karray, Reshad Hosseini, Reza Monsefi, 2021, ArXiv.

Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey pdf

Fakhri Karray, Ali Ghodsi, Benyamin Ghojogh, 2021, ArXiv.

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports

Mark Crowley, H. R. Tizhoosh, Veni Jindal, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey pdf

Fakhri Karray, Ali Ghodsi, Benyamin Ghojogh, 2021, ArXiv.

Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey

Fakhri Karray, Ali Ghodsi, Benyamin Ghojogh, 2022, ArXiv.

Decentralized Mean Field Games pdf

Pascal Poupart, Mark Crowley, Sriram Ganapathi Subramanian, 2021, ArXiv.

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

Isaac Tamblyn, Mark Crowley, Andriy Drozdyuk, 2021, ArXiv.

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

Fakhri Karray, Ali Ghodsi, Benyamin Ghojogh, 2021, Softw. Impacts.

Multi-Agent Advisor Q-Learning pdf

Kate Larson, Mark Crowley, Sriram Ganapathi Subramanian, 2021, ArXiv.