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Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments

IEEE transactions on control systems technology, 2013-05, Vol.21 (3), p.899-905

2013

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Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis

IEEE transactions on control systems technology, 2015-03, Vol.23 (2), p.770-777

2015

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Adaptive sampling for learning gaussian processes using mobile sensor networks

Sensors (Basel, Switzerland), 2011-03, Vol.11 (3), p.3051-3066

2011

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State reconstruction in a nonlinear vehicle suspension system using deep neural networks

Nonlinear dynamics, 2021-07, Vol.105 (1), p.439-455

2021

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Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

Automatica (Oxford), 2013-12, Vol.49 (12), p.3520-3530

2013

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Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

BMC oral health, 2020-10, Vol.20 (1), p.270-270, Article 270

2020

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Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations

IEEE transactions on robotics, 2011-12, Vol.27 (6), p.1118-1131

2011

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Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion Using Longitudinal CT Images

Annals of biomedical engineering, 2016-05, Vol.44 (5), p.1502-1514

2016

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Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space

IEEE access, 2024, Vol.12, p.104643-104662

2024

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Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields

Automatica (Oxford), 2012-08, Vol.48 (8), p.1735-1740

2012

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Multi-class segmentation of temporomandibular joint using ensemble deep learning

Scientific reports, 2024-08, Vol.14 (1), p.18990-11

2024

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Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

Journal of medical Internet research, 2023-01, Vol.25 (1), p.e40179-e40179

2023

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A warning system for urolithiasis via retrograde intrarenal surgery using machine learning: an experimental study

BMC urology, 2022-06, Vol.22 (1), p.80-80, Article 80

2022

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Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks

IEEE transactions on automatic control, 2012-08, Vol.57 (8), p.2078-2084

2012

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Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human-Robot Interaction via Deep Reinforcement Learning

IEEE transactions on neural systems and rehabilitation engineering, 2022, Vol.30, p.2186-2197

2022

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Regularized nonlinear regression with dependent errors and its application to a biomechanical model

Annals of the Institute of Statistical Mathematics, 2024-06, Vol.76 (3), p.481-510

2024

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Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model

Journal of international medical research, 2020-11, Vol.48 (11), p.300060520968449-300060520968449

2020

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Integration and Evaluation of an Immersive Virtual Platform

IEEE access, 2023, Vol.11, p.1335-1347

2023

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Analysis of conversion of Alzheimer’s disease using a multi-state Markov model

Statistical methods in medical research, 2019-09, Vol.28 (9), p.2801-2819

2019

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Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning

IEEE access, 2020, Vol.8, p.17243-17252

2020

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Gaussian Process Regression for Sensor Networks Under Localization Uncertainty

IEEE transactions on signal processing, 2013, Vol.61 (2), p.223-237

2013

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A Deep Learning Approach to Predict Abdominal Aortic Aneurysm Expansion Using Longitudinal Data

Frontiers in physics, 2020-01, Vol.7

2020

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Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields

Sensors (Basel, Switzerland), 2018-08, Vol.18 (9), p.2866

2018

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Layered-Cost-Map-Based Traffic Management for Multiple AMRs via a DDS

Applied sciences, 2022-08, Vol.12 (16), p.8084

2022

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Feature selection for position estimation using an omnidirectional camera

Image and vision computing, 2015-07, Vol.39, p.1-9

2015

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Environmental Monitoring Using Autonomous Aquatic Robots: Sampling Algorithms and Experiments

Solutions to the Inverse LQR Problem With Application to Biological Systems Analysis

Adaptive sampling for learning gaussian processes using mobile sensor networks

State reconstruction in a nonlinear vehicle suspension system using deep neural networks

Efficient Bayesian spatial prediction with mobile sensor networks using Gaussian Markov random fields

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

Mobile Sensor Network Navigation Using Gaussian Processes With Truncated Observations

Association of Intraluminal Thrombus, Hemodynamic Forces, and Abdominal Aortic Aneurysm Expansion Using Longitudinal CT Images

Human Motion Prediction: Assessing Direct and Geometry-Aware Approaches in 3D Space

Spatial prediction with mobile sensor networks using Gaussian processes with built-in Gaussian Markov random fields

Multi-class segmentation of temporomandibular joint using ensemble deep learning

Interpretable Deep-Learning Approaches for Osteoporosis Risk Screening and Individualized Feature Analysis Using Large Population-Based Data: Model Development and Performance Evaluation

A warning system for urolithiasis via retrograde intrarenal surgery using machine learning: an experimental study

Sequential Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks

Policy Design for an Ankle-Foot Orthosis Using Simulated Physical Human-Robot Interaction via Deep Reinforcement Learning

Regularized nonlinear regression with dependent errors and its application to a biomechanical model

Intraluminal thrombus effect on the progression of abdominal aortic aneurysms by using a multistate continuous-time Markov chain model

Integration and Evaluation of an Immersive Virtual Platform

Analysis of conversion of Alzheimer’s disease using a multi-state Markov model

Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning

Gaussian Process Regression for Sensor Networks Under Localization Uncertainty

A Deep Learning Approach to Predict Abdominal Aortic Aneurysm Expansion Using Longitudinal Data

Fully Bayesian Prediction Algorithms for Mobile Robotic Sensors under Uncertain Localization Using Gaussian Markov Random Fields

Layered-Cost-Map-Based Traffic Management for Multiple AMRs via a DDS

Feature selection for position estimation using an omnidirectional camera

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