Harold Soh
According to our database1,
Harold Soh
authored at least 47 papers
between 2006 and 2020.
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Bibliography
2020
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition.
CoRR, 2020
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration.
CoRR, 2020
CoRR, 2020
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Juiced and Ready to Predict Private Information in Deep Cooperative Reinforcement Learning.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors, 2018
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018
Proceedings of the Robotics: Science and Systems XIV, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018
2017
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Distance-Preserving Probabilistic Embeddings with Side Information: Variational Bayesian Multidimensional Scaling Gaussian Process.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
Incrementally Learning Objects by Touch: Online Discriminative and Generative Models for Tactile-Based Recognition.
IEEE Trans. Haptics, 2014
2013
Proceedings of the Social Robotics - 5th International Conference, 2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
When and how to help: An iterative probabilistic model for learning assistance by demonstration.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
2012
Online spatio-temporal Gaussian process experts with application to tactile classification.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Iterative temporal learning and prediction with the sparse online echo state gaussian process.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
2011
Multi-reward policies for medical applications: anthrax attacks and smart wheelchairs.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Evolving policies for multi-reward partially observable markov decision processes (MR-POMDPs).
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis.
IEEE Trans. Evol. Comput., 2010
2008
Mining Weather Information in Dengue Outbreak: Predicting Future Cases Based on Wavelet, SVM and GA.
Proceedings of the Advances in Electrical Engineering and Computational Science, 2008
2007
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 2007
2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006