Hoey, Jesse

21 publications

NeurIPSW 2024 Data Augmentation Transformations for Self-Supervised Learning with Ultrasound Blake VanBerlo, Alexander Wong, Jesse Hoey, Robert Arntfield

NeurIPSW 2024 Intra-Video Positive Pairs in Self-Supervised Learning for Ultrasound Blake VanBerlo, Alexander Wong, Jesse Hoey, Robert Arntfield

CVPRW 2023 Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound Blake VanBerlo, Brian Li, Alexander Wong, Jesse Hoey, Robert Arntfield

NeurIPSW 2022 The Use of Non-Epistemic Values to Account for Bias in Automated Decision Making Jesse Hoey, Gabrielle Chan, Mathieu Doucet, Christopher Risi, Freya Zhang

AAAI 2020 ALOHA: Artificial Learning of Human Attributes for Dialogue Agents Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey

ECCVW 2018 Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool Mina Nouredanesh, Aaron W. Li, Alan Godfrey, Jesse Hoey, James Tung

AAAI 2015 Bayesian Affect Control Theory of Self Jesse Hoey, Tobias Schröder

UAI 2015 Intelligent Affect: Rational Decision Making for Socially Aligned Agents Nabiha Asghar, Jesse Hoey

IJCAI 2013 Isomorph-Free Branch and Bound Search for Finite State Controllers Marek Grzes, Pascal Poupart, Jesse Hoey

AAAI 2012 A Market-Based Coordination Mechanism for Resource Planning Under Uncertainty Hadi Hosseini, Jesse Hoey, Robin Cohen

CVPRW 2011 3D Pose Tracking of Walker Users' Lower Limb with a Structured-Light Camera on a Moving Platform Richard Zhi-Ling Hu, Adam Hartfiel, James Yungjen Tung, Adel H. Fakih, Jesse Hoey, Pascal Poupart

IJCAI 2011 Continuous Correlated Beta Processes Robby Goetschalckx, Pascal Poupart, Jesse Hoey

ICML 2006 An Analytic Solution to Discrete Bayesian Reinforcement Learning Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan

IJCAI 2005 A Decision-Theoretic Approach to Task Assistance for Persons with Dementia Jennifer Boger, Pascal Poupart, Jesse Hoey, Craig Boutilier, Geoff R. Fernie, Alex Mihailidis

IJCAI 2005 Solving POMDPs with Continuous or Large Discrete Observation Spaces Jesse Hoey, Pascal Poupart

ECCV 2004 Decision Theoretic Modeling of Human Facial Displays Jesse Hoey, James J. Little

CVPR 2004 Value Directed Learning of Gestures and Facial Displays Jesse Hoey, James J. Little

ICCV 2003 Bayesian Clustering of Optical Flow Fields Jesse Hoey, James J. Little

NeurIPS 2000 APRICODD: Approximate Policy Construction Using Decision Diagrams Robert St-Aubin, Jesse Hoey, Craig Boutilier

CVPR 2000 Representation and Recognition of Complex Human Motion Jesse Hoey, James J. Little

UAI 1999 SPUDD: Stochastic Planning Using Decision Diagrams Jesse Hoey, Robert St-Aubin, Alan J. Hu, Craig Boutilier