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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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Integration and Evaluation of an Immersive Virtual Platform

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

2023

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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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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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Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time

1, 2015

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Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications

Computers in biology and medicine, 2021-06, Vol.133, p.104394-104394, Article 104394

2021

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Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations

Engineering applications of artificial intelligence, 2023-08, Vol.123, p.106465, Article 106465

2023

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Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration

IEEE transactions on industrial informatics, 2020-07, Vol.16 (7), p.4478-4488

2020

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Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks

IEEE transactions on industrial informatics, 2019-01, Vol.15 (1), p.582-590

2019

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Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration

IEEE journal of biomedical and health informatics, 2019-11, Vol.23 (6), p.2537-2550

2019

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Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.5664-5670

2022

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Emotion Recognition in Gamers Wearing Head-mounted Display

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, p.1251-1252

2019

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Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach

Computer methods and programs in biomedicine, 2021-09, Vol.208, p.106243-106243, Article 106243

2021

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Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking

Engineering applications of artificial intelligence, 2022-08, Vol.113, p.104974, Article 104974

2022

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Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model

2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 2016, p.346-349

2016

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GA-Based Filter Selection for Representation in Convolutional Neural Networks

Computer Vision – ECCV 2018 Workshops, p.609-618

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An Online Guide System for Improving Driving Skills on the Race Track: Visual Feedback Approach

HCI International 2024 Posters, p.275-282

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A unified Bayesian approach for prediction and detection using mobile sensor networks

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012, p.1180-1185

2012

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Self -organizing algorithms for controlling network feature map probability distributions, and synthesizing multiple robust controllers

Choi, Jongeun

2006

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Topology preserving neural networks that achieve a prescribed feature map probability density distribution

2005 American Control Conference; Portland, OR; USA; 8-10 June 2005, 2005, p.1343-1350 vol. 2

2005

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Memory Efficient Prediction With Truncated Observations

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks, 2015, p.27-52

2015

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Fully Bayesian Approach

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks, 2015, p.53-75

2015

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Learning Covariance Functions

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks, 2015, p.19-26

2015

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New Efficient Spatial Model with Built-In Gaussian Markov Random Fields

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks, 2015, p.77-90

2015

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Fully Bayesian Spatial Prediction Using Gaussian Markov Random Fields

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks, 2015, p.91-106

2015

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

Integration and Evaluation of an Immersive Virtual Platform

Unexpected Collision Avoidance Driving Strategy Using Deep Reinforcement Learning

Feature selection for position estimation using an omnidirectional camera

Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time

Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications

Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations

Multifidelity Sampling for Fast Bayesian Shape Estimation With Tactile Exploration

Driving Assistant Companion With Voice Interface Using Long Short-Term Memory Networks

Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion Using Bayesian Calibration

Nonlinear Model Predictive Control with Cost Function Scheduling for a Wheeled Mobile Robot

Emotion Recognition in Gamers Wearing Head-mounted Display

Diagnosis of obstructive sleep apnea with prediction of flow characteristics according to airway morphology automatically extracted from medical images: Computational fluid dynamics and artificial intelligence approach

Regularized nonlinear regression for simultaneously selecting and estimating key model parameters: Application to head-neck position tracking

Tracking Heteroscedastic Progression of Opinions with an Aggregation Bias Correction Model

GA-Based Filter Selection for Representation in Convolutional Neural Networks

An Online Guide System for Improving Driving Skills on the Race Track: Visual Feedback Approach

A unified Bayesian approach for prediction and detection using mobile sensor networks

Self -organizing algorithms for controlling network feature map probability distributions, and synthesizing multiple robust controllers

Topology preserving neural networks that achieve a prescribed feature map probability density distribution

Memory Efficient Prediction With Truncated Observations

Fully Bayesian Approach

Learning Covariance Functions

New Efficient Spatial Model with Built-In Gaussian Markov Random Fields

Fully Bayesian Spatial Prediction Using Gaussian Markov Random Fields

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