Mark Crowley
Orcid: 0000-0003-3921-4762Affiliations:
- University of Waterloo, ON, Canada
- Oregon State University, Corvallis, OR, USA
- UBC
According to our database1,
Mark Crowley
authored at least 93 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
2023
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios.
IEEE Trans. Affect. Comput., 2023
Learning when to observe: A frugal reinforcement learning framework for a high-cost world.
CoRR, 2023
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry.
CoRR, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Springer, ISBN: 978-3-031-10601-9, 2023
2022
Investigation of independent reinforcement learning algorithms in multi-agent environments.
Frontiers Artif. Intell., 2022
On Manifold Hypothesis: Hypersurface Submanifold Embedding Using Osculating Hyperspheres.
CoRR, 2022
Aggressive Driver Behavior Detection using Parallel Convolutional Neural Networks on Simulated and Real Driving Data.
Proceedings of the 9th International Conference on Internet of Things: Systems, 2022
Real-Time Pedestrian Detection Using Enhanced Representations from Light-Weight YOLO Network.
Proceedings of the 8th International Conference on Control, 2022
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Generative locally linear embedding: A module for manifold unfolding and visualization.
Softw. Impacts, 2021
Dynamic programming with partial information to overcome navigational uncertainty in a nautical environment.
CoRR, 2021
Scientific Discovery and the Cost of Measurement - Balancing Information and Cost in Reinforcement Learning.
CoRR, 2021
CoRR, 2021
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey.
CoRR, 2021
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey.
CoRR, 2021
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey.
CoRR, 2021
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey.
CoRR, 2021
CoRR, 2021
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey.
CoRR, 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey.
CoRR, 2021
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey.
CoRR, 2021
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey.
CoRR, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Recognition of a Robot's Affective Expressions Under Conditions with Limited Visibility.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021
Analysis of Language Embeddings for Classification of Unstructured Pathology Reports.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds.
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling.
CoRR, 2020
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions.
CoRR, 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey.
CoRR, 2020
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data.
CoRR, 2020
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees.
CoRR, 2020
CoRR, 2020
Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition.
CoRR, 2020
Quantile-Quantile Embedding for Distribution Transformation, Manifold Embedding, and Image Embedding with Choice of Embedding Distribution.
CoRR, 2020
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Offline Versus Online Triplet Mining Based on Extreme Distances of Histopathology Patches.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Using Emotions to Complement Multi-Modal Human-Robot Interaction in Urban Search and Rescue Scenarios.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Theoretical Insights into the Use of Structural Similarity Index in Generative Models and Inferential Autoencoders.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Backprojection for Training Feedforward Neural Networks in the Input and Feature Spaces.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out Maneuvers.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
Proceedings of the Advances in Artificial Intelligence, 2020
2019
The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: Tutorial.
CoRR, 2019
CoRR, 2019
Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban Trees.
Proceedings of the Third International Workshop on Capturing Scientific Knowledge co-located with the 10th International Conference on Knowledge Capture (K-CAP 2019), 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning.
Proceedings of the Advances in Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite Images.
Frontiers ICT, 2018
Blue sky ideas in artificial intelligence education from the EAAI 2017 new and future AI educator program.
AI Matters, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the Advances in Artificial Intelligence, 2018
Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Application of probabilistically weighted graphs to image-based diagnosis of Alzheimer's disease using diffusion MRI.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Proceedings of the 28th Euromicro Conference on Real-Time Systems, 2016
2015
J. Mach. Learn. Res., 2015
2014
Using Equilibrium Policy Gradients for Spatiotemporal Planning in Forest Ecosystem Management.
IEEE Trans. Computers, 2014
2013
Cyclic Causal Models with Discrete Variables: Markov Chain Equilibrium Semantics and Sample Ordering.
Proceedings of the IJCAI 2013, 2013
PAC Optimal Planning for Invasive Species Management: Improved Exploration for Reinforcement Learning from Simulator-Defined MDPs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Proceedings of the 15th Western Canadian Conference on Computing Education, 2010
2009
Proceedings of the UAI 2009, 2009
2007
Proceedings of the Advances in Artificial Intelligence, 2007