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ORCIDKamran Paynabar
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2020 – today
- 2024
[j32]Alessia Benevento
, Pouya Ahadi, Swati Gupta, Massimo Pacella, Kamran Paynabar:
Sequential sampling for functional estimation via Sieve. Qual. Reliab. Eng. Int. 40(6): 3253-3279 (2024)- [j31]Zihan Zhang, Shancong Mou, Kamran Paynabar, Jianjun Shi:
Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data. Technometrics 66(2): 227-239 (2024) - [j30]Bianca Maria Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan, William H. Woodall:
Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics 66(4): 507-530 (2024) - [i14]Christian Capezza, Antonio Lepore, Kamran Paynabar:
Stream-Based Active Learning for Process Monitoring. CoRR abs/2411.12563 (2024) - 2023
- [j29]Jinhyeun Kim, Christopher Luettgen, Kamran Paynabar, Fani Boukouvala:
Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression. Comput. Chem. Eng. 178: 108320 (2023) - [j28]Anjolaoluwa Ayomide Popoola, Jennifer Koren Frediani, Terryl Johnson Hartman, Kamran Paynabar:
Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm. BMC Medical Informatics Decis. Mak. 23(1): 178 (2023) - [j27]Wei Yang, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar:
A tensor-based hierarchical process monitoring approach for anomaly detection in additive manufacturing. Qual. Reliab. Eng. Int. 39(2): 630-650 (2023) - [j26]Zhen Zhong, Kamran Paynabar, Jianjun (Jan) Shi:
Image-Based Feedback Control Using Tensor Analysis. Technometrics 65(3): 305-314 (2023) - [i13]Qian Wang, Kamran Paynabar:
Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data. CoRR abs/2303.17852 (2023) - [i12]Qian Wang, Huanyi Shui, Thi Tu Trinh Tran, Milad Zafar Nezhad, Devesh Upadhyay, Kamran Paynabar, Anqi He:
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis. CoRR abs/2304.04755 (2023) - [i11]Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal:
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling. CoRR abs/2304.07665 (2023) - 2022
- [j25]Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar:
Sequence graph transform (SGT): a feature embedding function for sequence data mining. Data Min. Knowl. Discov. 36(2): 668-708 (2022) - [j24]Samaneh Ebrahimi, Mostafa Reisi Gahrooei, Kamran Paynabar, Shawn Mankad:
Monitoring sparse and attributed networks with online Hurdle models. IISE Trans. 54(1): 91-104 (2022) - [j23]Wei Yang, Jialei Chen, Chuck Zhang, Kamran Paynabar:
Online detection of cyber-incidents in additive manufacturing systems via analyzing multimedia signals. Qual. Reliab. Eng. Int. 38(3): 1340-1356 (2022) - [j22]Ana María Estrada Gómez, Dan Li, Kamran Paynabar:
An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data. Technometrics 64(2): 253-269 (2022) - [c3]Gürkan Aydemir, Kamran Paynabar, Burak Acar:
Robust Feature Learning for Remaining Useful Life Estimation Using Siamese Neural Networks. EUSIPCO 2022: 1432-1436 - 2021
- [j21]Xiaolei Fang, Hao Yan, Nagi Gebraeel, Kamran Paynabar:
Multi-sensor prognostics modeling for applications with highly incomplete signals. IISE Trans. 53(5): 597-613 (2021) - [j20]Dan Li, Kamran Paynabar, Nagi Gebraeel:
A degradation-based detection framework against covert cyberattacks on SCADA systems. IISE Trans. 53(7): 812-829 (2021) - [j19]Dan Li, Nagi Gebraeel, Kamran Paynabar:
Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems. IEEE Trans Autom. Sci. Eng. 18(4): 1626-1639 (2021) - [j18]Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi:
Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data. Technometrics 63(2): 147-159 (2021) - [i10]Dan Li, Nagi Gebraeel, Kamran Paynabar, A. P. Sakis Meliopoulos:
An Online Approach to Cyberattack Detection and Localization in Smart Grid. CoRR abs/2102.11401 (2021) - [i9]Zhen Zhong, Ribhu Sengupta, Kamran Paynabar, Lance A. Waller:
Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access. CoRR abs/2110.09272 (2021) - 2020
- [j17]Hao Yan, Kamran Paynabar, Jianjun Shi:
AKM2D: An adaptive framework for online sensing and anomaly quantification. IISE Trans. 52(9): 1032-1046 (2020) - [j16]Benjamin Peters, Murat Yildirim, Nagi Gebraeel, Kamran Paynabar:
Severity-based diagnosis for vehicular electric systems with multiple, interacting fault modes. Reliab. Eng. Syst. Saf. 195: 106605 (2020) - [j15]Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Jianjun Shi:
Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. IEEE Trans Autom. Sci. Eng. 17(2): 684-696 (2020) - [j14]Gürkan Aydemir, Kamran Paynabar:
Image-Based Prognostics Using Deep Learning Approach. IEEE Trans. Ind. Informatics 16(9): 5956-5964 (2020) - [c2]Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning Based Covert Attack Identification for Industrial Control Systems. ICMLA 2020: 438-445 - [c1]Alessia Benevento, María Santos, Giuseppe Notarstefano, Kamran Paynabar, Matthieu R. Bloch, Magnus Egerstedt:
Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields. ICRA 2020: 7740-7746 - [i8]Hao Yan, Marco Grasso, Kamran Paynabar, Bianca Maria Colosimo:
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing. CoRR abs/2004.10977 (2020) - [i7]Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar:
Deep Learning based Covert Attack Identification for Industrial Control Systems. CoRR abs/2009.12360 (2020)
2010 – 2019
- 2019
- [j13]Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Bianca Maria Colosimo:
An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data. IISE Trans. 51(11): 1251-1264 (2019) - [j12]Kourosh Jafari-Khouzani, Kamran Paynabar, Fatemeh Hajighasemi, Bruce R. Rosen:
Effect of Region of Interest Size on the Repeatability of Quantitative Brain Imaging Biomarkers. IEEE Trans. Biomed. Eng. 66(3): 864-872 (2019) - [j11]Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel:
Image-Based Prognostics Using Penalized Tensor Regression. Technometrics 61(3): 369-384 (2019) - [j10]Hao Yan, Kamran Paynabar, Massimo Pacella:
Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. Technometrics 61(3): 385-395 (2019) - [i6]Hao Yan, Kamran Paynabar, Jianjun Shi:
AKM2D : An Adaptive Framework for Online Sensing and Anomaly Quantification. CoRR abs/1910.02119 (2019) - 2018
- [j9]Hao Yan, Kamran Paynabar, Jianjun Shi:
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition. Technometrics 60(2): 181-197 (2018) - [j8]Yuan Wang, Yajun Mei, Kamran Paynabar:
Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring. Technometrics 60(3): 360-372 (2018) - [i5]Hao Yan, Kamran Paynabar, Massimo Pacella:
Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization. CoRR abs/1807.10278 (2018) - [i4]Chitta Ranjan, Markku Mustonen, Kamran Paynabar, Karim Pourak:
Dataset: Rare Event Classification in Multivariate Time Series. CoRR abs/1809.10717 (2018) - [i3]Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar:
Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems. CoRR abs/1812.10430 (2018) - 2017
- [j7]Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel:
Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliab. Eng. Syst. Saf. 159: 322-331 (2017) - [j6]Hao Yan, Kamran Paynabar, Jianjun Shi:
Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition. Technometrics 59(1): 102-114 (2017) - 2016
- [j5]Kamran Paynabar, Changliang Zou, Peihua Qiu:
A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis. Technometrics 58(2): 191-204 (2016) - [i2]William H. Woodall, Meng J. Zhao, Kamran Paynabar, Ross Sparks, James D. Wilson:
An overview and perspective on social network monitoring. CoRR abs/1603.09453 (2016) - [i1]Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar:
Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining. CoRR abs/1608.03533 (2016) - 2015
- [j4]Hao Yan, Kamran Paynabar, Jianjun Shi:
Image-Based Process Monitoring Using Low-Rank Tensor Decomposition. IEEE Trans Autom. Sci. Eng. 12(1): 216-227 (2015) - [j3]Kamran Paynabar, Judy Jin, Matthew P. Reed:
Informative Sensor and Feature Selection via Hierarchical Nonnegative Garrote. Technometrics 57(4): 514-523 (2015)
2000 – 2009
- 2009
- [j2]Rassoul Noorossana, Abbas Saghaei, Kamran Paynabar, Sara Abdi:
Identifying the period of a step change in high-yield processes. Qual. Reliab. Eng. Int. 25(7): 875-883 (2009) - 2007
- [j1]Rassoul Noorossana, Abbas Saghaei, Kamran Paynabar, Yaser Samimi:
On the conditional decision procedure for high yield processes. Comput. Ind. Eng. 53(3): 469-477 (2007)
Coauthor Index
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