Kamran Paynabar

Orcid: 0000-0002-6906-3611

According to our database1, Kamran Paynabar authored at least 45 papers between 2007 and 2024.

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Bibliography

2024
Sequential sampling for functional estimation via Sieve.
Qual. Reliab. Eng. Int., October, 2024

Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data.
Technometrics, April, 2024

2023
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm.
BMC Medical Informatics Decis. Mak., December, 2023

Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression.
Comput. Chem. Eng., October, 2023

Image-Based Feedback Control Using Tensor Analysis.
Technometrics, July, 2023

A tensor-based hierarchical process monitoring approach for anomaly detection in additive manufacturing.
Qual. Reliab. Eng. Int., March, 2023

Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling.
CoRR, 2023

A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis.
CoRR, 2023

Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data.
CoRR, 2023

2022
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data.
Technometrics, 2022

Online detection of cyber-incidents in additive manufacturing systems via analyzing multimedia signals.
Qual. Reliab. Eng. Int., 2022

Monitoring sparse and attributed networks with online Hurdle models.
IISE Trans., 2022

Sequence graph transform (SGT): a feature embedding function for sequence data mining.
Data Min. Knowl. Discov., 2022

Robust Feature Learning for Remaining Useful Life Estimation Using Siamese Neural Networks.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data.
Technometrics, 2021

Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems.
IEEE Trans Autom. Sci. Eng., 2021

A degradation-based detection framework against covert cyberattacks on SCADA systems.
IISE Trans., 2021

Multi-sensor prognostics modeling for applications with highly incomplete signals.
IISE Trans., 2021

Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access.
CoRR, 2021

An Online Approach to Cyberattack Detection and Localization in Smart Grid.
CoRR, 2021

2020
Image-Based Prognostics Using Deep Learning Approach.
IEEE Trans. Ind. Informatics, 2020

Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression.
IEEE Trans Autom. Sci. Eng., 2020

Severity-based diagnosis for vehicular electric systems with multiple, interacting fault modes.
Reliab. Eng. Syst. Saf., 2020

AKM2D: An adaptive framework for online sensing and anomaly quantification.
IISE Trans., 2020

Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing.
CoRR, 2020

Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Deep Learning Based Covert Attack Identification for Industrial Control Systems.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization.
Technometrics, 2019

Image-Based Prognostics Using Penalized Tensor Regression.
Technometrics, 2019

Effect of Region of Interest Size on the Repeatability of Quantitative Brain Imaging Biomarkers.
IEEE Trans. Biomed. Eng., 2019

An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data.
IISE Trans., 2019

AKM<sup>2</sup>D : An Adaptive Framework for Online Sensing and Anomaly Quantification.
CoRR, 2019

2018
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition.
Technometrics, 2018

Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring.
Technometrics, 2018

Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems.
CoRR, 2018

Dataset: Rare Event Classification in Multivariate Time Series.
CoRR, 2018

2017
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition.
Technometrics, 2017

Multistream sensor fusion-based prognostics model for systems with single failure modes.
Reliab. Eng. Syst. Saf., 2017

2016
A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis.
Technometrics, 2016

An overview and perspective on social network monitoring.
CoRR, 2016

Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining.
CoRR, 2016

2015
Informative Sensor and Feature Selection via Hierarchical Nonnegative Garrote.
Technometrics, 2015

Image-Based Process Monitoring Using Low-Rank Tensor Decomposition.
IEEE Trans Autom. Sci. Eng., 2015

2009
Identifying the period of a step change in high-yield processes.
Qual. Reliab. Eng. Int., 2009

2007
On the conditional decision procedure for high yield processes.
Comput. Ind. Eng., 2007


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