Kamran Paynabar
Orcid: 0000-0002-6906-3611
According to our database1,
Kamran Paynabar
authored at least 43 papers
between 2007 and 2023.
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Bibliography
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
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
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
IISE Trans., 2021
Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access.
CoRR, 2021
CoRR, 2021
2020
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
IISE Trans., 2020
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
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
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
2017
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
Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining.
CoRR, 2016
2015
Technometrics, 2015
IEEE Trans Autom. Sci. Eng., 2015
2009
Qual. Reliab. Eng. Int., 2009
2007
Comput. Ind. Eng., 2007