A. Gribok

发表

Robotic three-dimensional imaging system for under-vehicle inspection

Mongi A. Abidi, Andreas F. Koschan, Andrei V. Gribok, 2006, J. Electronic Imaging.

Improving Weapon Detection in Single Energy X-Ray Images Through Pseudocoloring

B.R. Abidi, Yue Zheng, A.V. Gribok, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

11 Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants

A. Gribok, R. Uhrig, J. Hines, 2003 .

Regularized 3D Image Smoothing

M. Abidi, A. Gribok, J. Paik, 2016 .

An improved methodology for individualized performance prediction of sleep-deprived individuals with the two-process model.

Srinivasan Rajaraman, Jaques Reifman, Thomas J Balkin, 2009, Sleep.

Individualized performance prediction of sleep-deprived individuals with the two-process model.

Srinivasan Rajaraman, Jaques Reifman, Thomas J Balkin, 2008, Journal of applied physiology.

Light Water Reactor Sustainability Program Potential to Extend the Range of Established Online Monitoring Technologies, Such as Guided Waves in Nuclear Power Plant Systems

A. Gribok, 2017 .

Vehicle-borne Scanning for Detailed 3D Terrain Model Generation

Andreas Koschan, Mongi A. Abidi, David Page, 2005 .

Pattern Recognition Techniques for Transient Detection to Enhance Nuclear Reactors’ Operational Safety

J. W. Hines, R. E. Uhrig, A. Gribok, 2000 .

Exploration of prehospital vital sign trends for the prediction of trauma outcomes.

Liangyou Chen, A. Reisner, J. Reifman, 2010, Journal of special operations medicine : a peer reviewed journal for SOF medical professionals.

Exploration of Prehospital Vital Sign Trends for the Prediction of Trauma Outcomes

Jaques Reifman, Liangyou Chen, Andrei Gribok, 2009, Prehospital emergency care : official journal of the National Association of EMS Physicians and the National Association of State EMS Directors.

Framework for Structural Online Health Monitoring of Aging and Degradation of Secondary Systems due to some Aspects of Erosion

A. Gribok, Sobhan Patnaik, Christian Williams, 2016 .

Is Respiration-Induced Variation in the Photoplethysmogram Associated with Major Hypovolemia in Patients with Acute Traumatic Injuries?

Liangyou Chen, A. Reisner, J. Reifman, 2010, Shock.

ONE PROMISING APPROACH TO BETTER MANAGE THE EFFECTS OF SLEEP DEPRIVATION ON PERFORMANCE IS THE USE OF BIOMATHEMATICAL MODELING TOOLS

J. Reifman, A. Gribok, 2007 .

Selection of Multiple Regularization Parameters in Local Ridge Regression Using Evolutionary Algorithms and Prediction Risk Optimization

A. Gribok, J. Hines, A. Urmanov, 2003 .

Moving towards individualized performance models.

J. Reifman, A. Gribok, Srinivasan Rajaraman, 2007, Sleep.

Response to Acute Psychophysical Stress and 24-Hour Glycemic Control in Healthy Older People

A. Gribok, L. DiPietro, C. Yeckel, 2012, Journal of aging research.

Frequency-Domain Implementation of Regularization

M. Abidi, A. Gribok, J. Paik, 2016 .

Accuracy of the Estimated Core Temperature (ECTemp) Algorithm in Estimating Circadian Rhythm Indicators

David P. Looney, Alexander P. Welles, A. Gribok, 2017 .

Commentaries on Viewpoint: A time for exercise: the exercise window.

A. Gribok, L. DiPietro, J. Hawley, 2017, Journal of applied physiology.

CAN WE IMPROVE THE CLINICAL UTILITY OF RESPIRATORY RATE AS A MONITORED VITAL SIGN?

Jaques Reifman, Liangyou Chen, Andrei Gribok, 2009, Shock.

Information complexity-based regularization parameter selection for solution of ill conditioned inverse problems

H. Bozdogan, A. Gribok, R. Uhrig, 2002 .

Pipeline Degradation Evaluation Based on Distributed Fiber Sensors and Convolutional Neural Networks (CNNs)

A. Gribok, Qirui Wang, Zekun Wu, 2022, 27th International Conference on Optical Fiber Sensors.

Backward specification of prior in bayesian inference as an inverse problem

A. Gribok, R. Uhrig, A. Urmanov, 2004 .

A Real-Time Algorithm for Predicting Core Temperature in Humans

Mark J. Buller, Reed W. Hoyt, Jaques Reifman, 2010, IEEE Transactions on Information Technology in Biomedicine.

Predicting Subcutaneous Glucose Concentration in Humans: Data-Driven Glucose Modeling

Srinivasan Rajaraman, W. Kenneth Ward, Jaques Reifman, 2009, IEEE Transactions on Biomedical Engineering.

Predictive Monitoring for Improved Management of Glucose Levels

Srinivasan Rajaraman, Jaques Reifman, Andrei Gribok, 2007, Journal of diabetes science and technology.

Illumination Chromaticity Estimation Using Linear Learning Methods

Mongi A. Abidi, Besma Abidi, Vivek Agarwal, 2009 .

Image restoration using L1 norm penalty function

Mongi A. Abidi, Andrei V. Gribok, Vivek Agarwal, 2007 .

Machine learning approach to color constancy

Vivek Agarwal, Mongi A. Abidi, Andrei V. Gribok, 2007, Neural Networks.

Regularization of Body Core Temperature Prediction during Physical Activity

J. Reifman, A. Gribok, T. McKenna, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Heuristic, systematic, and informational regularization for process monitoring

Andrei V. Gribok, Robert E. Uhrig, Aleksey M. Urmanov, 2002, Int. J. Intell. Syst..

Stochastic regularization of feedwater flow rate evaluation for the venturi meter fouling problem in nuclear power plants

A. Gribok, R. Uhrig, I. Attieh, 2001 .

Regularization of Feedwater Flow Rate Evaluation for Venturi Meter Fouling Problem in Nuclear Power Plants

Andrei V. Gribok, Robert E. Uhrig, J. Wesley Hines, 2001 .

The Use of Regularization in Inferential Measurements

Robert E. Uhrig, Andrei Gribok, Ibrahim K. Attieh, 2000 .

Regularization Methods for Inferential Sensing in Nuclear Power Plants

Robert E. Uhrig, J. Wesley Hines, Andrei Gribok, 2000 .

IMPROVED METHODS FOR ON-LINE SENSOR CALIBRATION VERIFICATION

Robert E. Uhrig, J. Wesley Hines, Andrei Gribok, 2000 .

Redundant Sensor Calibration Monitoring Using Independent Component Analysis and Principal Component Analysis

Jun Ding, Andrei V. Gribok, J. Wesley Hines, 2004, Real-Time Systems.

Decision tool for the early diagnosis of trauma patient hypovolemia

Jaques Reifman, Andrei V. Gribok, Liangyou Chen, 2008, J. Biomed. Informatics.

Individualized Short-Term Core Temperature Prediction in Humans Using Biomathematical Models

Mark J. Buller, Jaques Reifman, Andrei V. Gribok, 2008, IEEE Transactions on Biomedical Engineering.

Optimization Techniques in Computer Vision

Joonki Paik, Mongi A. Abidi, Andrei V. Gribok, 2016, Advances in Computer Vision and Pattern Recognition.

Boolean operations with implicit and parametric representation of primitives using R-functions

Frédéric Truchetet, Sebti Foufou, Mongi A. Abidi, 2005, IEEE Transactions on Visualization and Computer Graphics.

Three 15-min Bouts of Moderate Postmeal Walking Significantly Improves 24-h Glycemic Control in Older People at Risk for Impaired Glucose Tolerance

A. Gribok, L. DiPietro, W. Rumpler, 2013, Diabetes Care.

Ill-Posed Problems in Imaging and Computer Vision

Joonki Paik, Mongi A. Abidi, Andrei V. Gribok, 2016 .

An Analysis of Fluff Formation in Metallic Fuel via Data Analyses from EBR-II Experiments and BISON Fuel Code Modeling

A. Gribok, J. Fay, L. Capriotti, 2022, Journal of Nuclear Materials.

Automatic Information Extraction from Neutron Radiography Imaging to Estimate Axial Fuel Expansion in EBR-II

Nancy J. Lybeck, Andrei V. Gribok, Douglas L. Porter, 2021 .

Development and assessment of a model predictive controller enabling anticipatory control strategies for a heat-pipe system

R. Boring, A. Gribok, T. McJunkin, 2023, Progress in Nuclear Energy.

Distributed fiber sensor and machine learning data analytics for pipeline protection against extrinsic intrusions and intrinsic corrosions.

Sheng Huang, Kevin P. Chen, Hongqiao Wen, 2020, Optics express.

Selection of the Regularization Parameter

Joonki Paik, Mongi A. Abidi, Andrei V. Gribok, 2016 .

An information approach to regularization parameter selection under model misspecification

Robert E. Uhrig, Aleksey M. Urmanov, Andrei Gribok, 2002 .

Regularization of Ill-Posed Surveillance and Diagnostic Measurements

Andrei V. Gribok, Robert E. Uhrig, Aleksey M. Urmanov, 2002 .

Predicting Biological Cleanliness: An Empirical Bayes Approach for Spacecraft Bioburden Accounting

Andrei Gribok, Arman Seuylemezian, J. Nick Benardini, 2020, 2020 IEEE Aerospace Conference.

Estimating Resting Core Temperature Using Heart Rate

William J. Tharion, Mark J. Buller, Reed W. Hoyt, 2018, Journal for the Measurement of Physical Behaviour.

Automated guidance from physiological sensing to reduce thermal-work strain levels on a novel task

Mark J. Buller, Odest Chadwicke Jenkins, Andrei V. Gribok, 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Outlier rejection by oriented tracks to aid pose estimation from video

Mongi A. Abidi, Andreas F. Koschan, Andrei V. Gribok, 2006, Pattern Recognit. Lett..

Improving Video-Based Robot Self Localization Through Outlier Removal

Andreas Koschan, Mongi A. Abidi, Andrei Gribok, 2006 .

Uncertainty Analysis of Memory Based Sensor Validation Techniques

Andrei V. Gribok, Aleksey M. Urmanov, J. Wesley Hines, 2004, Real-Time Systems.

Multimodal Scene Reconstruction Using Genetic Algorithm-Based Optimization

Joonki Paik, Mongi A. Abidi, Andrei V. Gribok, 2016 .

Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks

Kevin P. Chen, Hu Liu, Hongqiao Wen, 2020, Scientific Reports.

Screener Evaluation of Pseudo-Colored Single Energy X-ray Luggage Images

Mongi A. Abidi, Besma Roui-Abidi, Andrei V. Gribok, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition

Mongi A. Abidi, Harishwaran Hariharan, Andreas F. Koschan, 2006, 2006 International Conference on Image Processing.

Detection of Ultrasonic Guided Waves Using Fiber Optical Sensors Toward Nondestructive Evaluation

Kevin P. Chen, A. Gribok, Kehao Zhao, 2022, 27th International Conference on Optical Fiber Sensors.

Pipeline Defects Detection and Classification Based on Distributed Fiber Sensors and Neural Networks

Kevin P. Chen, A. Gribok, Z.-H. Mao, 2021, Optical Fiber Sensors Conference 2020 Special Edition.

Measuring the short‐term substrate utilization response to high‐carbohydrate and high‐fat meals in the whole‐body indirect calorimeter

A. Gribok, R. Hoyt, W. Rumpler, 2016, Physiological reports.

Universal Glucose Models for Predicting Subcutaneous Glucose Concentration in Humans

Yinghui Lu, W. Kenneth Ward, Robert A. Vigersky, 2010, IEEE Transactions on Information Technology in Biomedicine.

Supershape Recovery from 3D Data Sets

Frédéric Truchetet, Sebti Foufou, Mongi A. Abidi, 2006, 2006 International Conference on Image Processing.

Use of Kernel Based Techniques for Sensor Validation in Nuclear Power Plants

Andrei V. Gribok, Robert E. Uhrig, Aleksey M. Urmanov, 2003 .

Diagnosis of Hemorrhage in a Prehospital Trauma Population Using Linear and Nonlinear Multiparameter Analysis of Vital Signs

Liangyou Chen, J. Reifman, Liangyou Chen, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

two-process model Individualized performance prediction of sleep-deprived individuals with the

J. Reifman, T. Balkin, A. Gribok, 2009 .

Are Standard Diagnostic Test Characteristics Sufficient for the Assessment of Continual Patient Monitoring?

Jaques Reifman, Liangyou Chen, Andrew T. Reisner, 2013, Medical decision making : an international journal of the Society for Medical Decision Making.

A Robust Method to Estimate Instantaneous Heart Rate from Noisy Electrocardiogram Waveforms

Jaques Reifman, Andrei V. Gribok, Xiaoxiao Chen, 2011, Annals of Biomedical Engineering.

Exploiting the existence of temporal heart-rate patterns for the detection of trauma-induced hemorrhage

Liangyou Chen, A. Reisner, J. Reifman, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A fuzzy logic algorithm to assign confidence levels to heart and respiratory rate time series

J Liu, T M McKenna, A Gribok, 2008, Physiological measurement.

LAM: A landscape matching algorithm for respiratory data alignment

Liangyou Chen, Jaques Reifman, Andrei Gribok, 2006, SPIE Defense + Commercial Sensing.

Radial Supershapes for Solid Modeling

Frédéric Truchetet, Sebti Foufou, Mongi A. Abidi, 2006, Journal of Computer Science and Technology.

Shape Measure for Identifying Perceptually Informative Parts of 3D Objects

Mongi A. Abidi, Andreas F. Koschan, Andrei V. Gribok, 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).

Estimation of metabolic energy expenditure from core temperature using a human thermoregulatory model.

David P. Looney, Alexander P. Welles, A. Gribok, 2018, Journal of thermal biology.

Error bounds for data-driven models of dynamical systems

Jaques Reifman, Andrei V. Gribok, Nicholas O. Oleng', 2007, Comput. Biol. Medicine.

Technical Basis for Advanced Artificial Intelligence and Machine Learning Adoption in Nuclear Power Plants

A. Gribok, N. Lybeck, Vivek Agarwal, 2022 .

An information approach to regularization parameter selection under model misspecification

A. Gribok, R. Uhrig, J. Hines, 2002 .

Surface shape description of 3D data from under vehicle inspection robot

Andreas Koschan, Mongi A. Abidi, David Gorsich, 2005, SPIE Defense + Commercial Sensing.