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Autonomic mobile sensor network with self-coordinated task allocation and execution

IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, 2006-05, Vol.36 (3), p.315-327

2006

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Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems

IEEE transactions on automation science and engineering, 2015-07, Vol.12 (3), p.901-921

2015

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Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception

Autonomous robots, 2020-03, Vol.44 (3-4), p.359-376

2020

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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2020-04, Vol.34 (4), p.5997-6004

2020

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Telesupervised remote surface water quality sensing

2010 IEEE Aerospace Conference, 2010, p.1-9

2010

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Pruning during training by network efficacy modeling

Machine learning, 2023-07, Vol.112 (7), p.2653-2684

2023

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An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks

Neural computation, 2005-06, Vol.17 (6), p.1411-1445

2005

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Recursive reasoning-based training-time adversarial machine learning

Artificial intelligence, 2023-02, Vol.315, p.103837, Article 103837

2023

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GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

2019 IEEE Conference on Communications and Network Security (CNS), 2019, p.91-99

2019

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Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-8

2019

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Multi-agent ad hoc team partitioning by observing and modeling single-agent performance

Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, 2014, p.1-7

2014

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Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments

2012 Sixth International Conference on Distributed Smart Cameras (ICDSC), 2012, p.1-6

2012

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Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2012, Vol.2, p.478-485

2012

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Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2018, Vol.32 (1)

2018

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Continuous-spaced action selection for single- and multi-robot tasks using cooperative extended Kohonen maps

IEEE International Conference on Networking, Sensing and Control, 2004, 2004, Vol.1, p.198-203 Vol.1

2004

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Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes

Machine Learning and Knowledge Discovery in Databases, p.494-498

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Adaptive Sampling for Multi-Robot Wide-Area Exploration

Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007, p.755-760

2007

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Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization

Machine Learning and Knowledge Discovery in Databases, p.499-503

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Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2016, Vol.30 (1)

2016

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Decentralized Sum-of-Nonconvex Optimization

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (13), p.14088-14096

2024

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Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena

Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems, 2014, p.573-580

2014

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Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data

Dynamic Data-Driven Environmental Systems Science, p.167-181

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An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks

Neural computation, 2005-06, Vol.17 (8), p.1411

2005

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Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (13), p.14097-14105

2024

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Decentralized High-Dimensional Bayesian Optimization With Factor Graphs

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2018, Vol.32 (1)

2018

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Autonomic mobile sensor network with self-coordinated task allocation and execution

Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems

Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

Telesupervised remote surface water quality sensing

Pruning during training by network efficacy modeling

An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks

Recursive reasoning-based training-time adversarial machine learning

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression

Multi-agent ad hoc team partitioning by observing and modeling single-agent performance

Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments

Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents

Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception

Continuous-spaced action selection for single- and multi-robot tasks using cooperative extended Kohonen maps

Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes

Adaptive Sampling for Multi-Robot Wide-Area Exploration

Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization

Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond

Decentralized Sum-of-Nonconvex Optimization

Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena

Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data

An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Decentralized High-Dimensional Bayesian Optimization With Factor Graphs

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