Kamran Paynabar

65 papers A* 1C 2Journal 60Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multivariate Time Series Data Imputation via Distributionally Robust Regularization. CoRR Che-Yi Liao, Zheng Dong, Gian-Gabriel P. Garcia, Kamran Paynabar
2026	J	`jnl`	Stream-Based Active Learning for Process Monitoring. Technometrics Christian Capezza, Antonio Lepore, Kamran Paynabar
2026	J	`jnl`	Tides Need STEMMED: A Locally Operating Spatiotemporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction. Manuf. Serv. Oper. Manag. Che-Yi Liao, Zheng Dong, Gian-Gabriel P. Garcia, Kamran Paynabar, Yao Xie, Mohammad S. Jalali
2025	J	`jnl`	A Single Image Is All You Need: Zero-Shot Anomaly Localization Without Training Data. CoRR Mehrdad Moradi, Shengzhe Chen, Hao Yan, Kamran Paynabar
2025	J	`jnl`	An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity. CoRR Junghee Pyeon, Davide Cacciarelli, Kamran Paynabar
2025	J	`jnl`	Bayesian Optimization for Function-Valued Responses under Min-Max Criteria. CoRR Pouya Ahadi, Reza Marzban, Ali Adibi, Kamran Paynabar
2025	J	`jnl`	Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels. CoRR Pouya Ahadi, Blair Winograd, Camille Zaug, Karunesh Arora, Lijun Wang, Kamran Paynabar
2025	—	`conf`	RDDPM: Robust Denoising Diffusion Probabilistic Model for Unsupervised Anomaly Segmentation. ICCVW Mehrdad Moradi, Kamran Paynabar
2025	J	`jnl`	RDDPM: Robust Denoising Diffusion Probabilistic Model for Unsupervised Anomaly Segmentation. CoRR Mehrdad Moradi, Kamran Paynabar
2025	J	`jnl`	Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties. CoRR Mariafrancesca Patalano, Giovanna Capizzi, Kamran Paynabar
2025	C	`conf`	Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models. ICMLA Mehrdad Moradi, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar
2025	J	`jnl`	Single-Step Reconstruction-Free Anomaly Detection and Segmentation via Diffusion Models. CoRR Mehrdad Moradi, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar
2025	J	`jnl`	Teaching LLMs to See and Guide: Context-Aware Real-Time Assistance in Augmented Reality. CoRR Mahya Qorbani, Kamran Paynabar, Mohsen Moghaddam
2025	J	`jnl`	Tensor-on-tensor Regression Neural Networks for Process Modeling with High-dimensional Data. CoRR Qian Wang, Mohammad N. Bisheh, Kamran Paynabar
2025	J	`jnl`	Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data. CoRR Elif Konyar, Mostafa Reisi Gahrooei, Kamran Paynabar
2025	J	`jnl`	smashGP: Large-Scale Spatial Modeling via Matrix-Free Gaussian Processes. J. Comput. Graph. Stat. Lucas Erlandson, Ana María Estrada Gómez, Edmond Chow, Kamran Paynabar
2024	J	`jnl`	Sequential sampling for functional estimation via Sieve. Qual. Reliab. Eng. Int. Alessia Benevento, Pouya Ahadi, Swati Gupta, Massimo Pacella, Kamran Paynabar
2024	J	`jnl`	Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics Bianca Maria Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan, William H. Woodall
2024	J	`jnl`	Stream-Based Active Learning for Process Monitoring. CoRR Christian Capezza, Antonio Lepore, Kamran Paynabar
2024	J	`jnl`	Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data. Technometrics Zihan Zhang, Shancong Mou, Kamran Paynabar, Jianjun Shi
2023	J	`jnl`	A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis. CoRR Qian Wang, Huanyi Shui, Thi Tu Trinh Tran, Milad Zafar Nezhad, Devesh Upadhyay, Kamran Paynabar, Anqi He
2023	J	`jnl`	A tensor-based hierarchical process monitoring approach for anomaly detection in additive manufacturing. Qual. Reliab. Eng. Int. Wei Yang, Marco Grasso, Bianca Maria Colosimo, Kamran Paynabar
2023	J	`jnl`	Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling. CoRR Upala Junaida Islam, Kamran Paynabar, George Runger, Ashif Sikandar Iquebal
2023	J	`jnl`	Image-Based Feedback Control Using Tensor Analysis. Technometrics Zhen Zhong, Kamran Paynabar, Jianjun (Jan) Shi
2023	J	`jnl`	Maximum Covariance Unfolding Regression: A Novel Covariate-based Manifold Learning Approach for Point Cloud Data. CoRR Qian Wang, Kamran Paynabar
2023	J	`jnl`	Mitigating underreported error in food frequency questionnaire data using a supervised machine learning method and error adjustment algorithm. BMC Medical Informatics Decis. Mak. Anjolaoluwa Ayomide Popoola, Jennifer Koren Frediani, Terryl Johnson Hartman, Kamran Paynabar
2023	J	`jnl`	Physics-based Penalization for Hyperparameter Estimation in Gaussian Process Regression. Comput. Chem. Eng. Jinhyeun Kim, Christopher Luettgen, Kamran Paynabar, Fani Boukouvala
2022	J	`jnl`	An Adaptive Sampling Strategy for Online Monitoring and Diagnosis of High-Dimensional Streaming Data. Technometrics Ana María Estrada Gómez, Dan Li, Kamran Paynabar
2022	J	`jnl`	Monitoring sparse and attributed networks with online Hurdle models. IISE Trans. Samaneh Ebrahimi, Mostafa Reisi Gahrooei, Kamran Paynabar, Shawn Mankad
2022	J	`jnl`	Online detection of cyber-incidents in additive manufacturing systems via analyzing multimedia signals. Qual. Reliab. Eng. Int. Wei Yang, Jialei Chen, Chuck Zhang, Kamran Paynabar
2022	—	`conf`	Robust Feature Learning for Remaining Useful Life Estimation Using Siamese Neural Networks. EUSIPCO Gürkan Aydemir, Kamran Paynabar, Burak Acar
2022	J	`jnl`	Sequence graph transform (SGT): a feature embedding function for sequence data mining. Data Min. Knowl. Discov. Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar
2021	J	`jnl`	A degradation-based detection framework against covert cyberattacks on SCADA systems. IISE Trans. Dan Li, Kamran Paynabar, Nagi Gebraeel
2021	J	`jnl`	An Online Approach to Cyberattack Detection and Localization in Smart Grid. CoRR Dan Li, Nagi Gebraeel, Kamran Paynabar, A. P. Sakis Meliopoulos
2021	J	`jnl`	Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems. IEEE Trans Autom. Sci. Eng. Dan Li, Nagi Gebraeel, Kamran Paynabar
2021	J	`jnl`	Multi-Objective Allocation of COVID-19 Testing Centers: Improving Coverage and Equity in Access. CoRR Zhen Zhong, Ribhu Sengupta, Kamran Paynabar, Lance A. Waller
2021	J	`jnl`	Multi-sensor prognostics modeling for applications with highly incomplete signals. IISE Trans. Xiaolei Fang, Hao Yan, Nagi Gebraeel, Kamran Paynabar
2021	J	`jnl`	Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data. Technometrics Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi
2020	J	`jnl`	AKM2D: An adaptive framework for online sensing and anomaly quantification. IISE Trans. Hao Yan, Kamran Paynabar, Jianjun Shi
2020	C	`conf`	Deep Learning Based Covert Attack Identification for Industrial Control Systems. ICMLA Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar
2020	J	`jnl`	Deep Learning based Covert Attack Identification for Industrial Control Systems. CoRR Dan Li, Paritosh Ramanan, Nagi Gebraeel, Kamran Paynabar
2020	J	`jnl`	Image-Based Prognostics Using Deep Learning Approach. IEEE Trans. Ind. Informatics Gürkan Aydemir, Kamran Paynabar
2020	A*	`conf`	Multi-Robot Coordination for Estimation and Coverage of Unknown Spatial Fields. ICRA Alessia Benevento, María Santos, Giuseppe Notarstefano, Kamran Paynabar, Matthieu R. Bloch, Magnus Egerstedt
2020	J	`jnl`	Process Modeling and Prediction With Large Number of High-Dimensional Variables Using Functional Regression. IEEE Trans Autom. Sci. Eng. Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Jianjun Shi
2020	J	`jnl`	Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing. CoRR Hao Yan, Marco Grasso, Kamran Paynabar, Bianca Maria Colosimo
2020	J	`jnl`	Severity-based diagnosis for vehicular electric systems with multiple, interacting fault modes. Reliab. Eng. Syst. Saf. Benjamin Peters, Murat Yildirim, Nagi Gebraeel, Kamran Paynabar
2019	J	`jnl`	AKM CoRR Hao Yan, Kamran Paynabar, Jianjun Shi
2019	J	`jnl`	An adaptive fused sampling approach of high-accuracy data in the presence of low-accuracy data. IISE Trans. Mostafa Reisi Gahrooei, Kamran Paynabar, Massimo Pacella, Bianca Maria Colosimo
2019	J	`jnl`	Effect of Region of Interest Size on the Repeatability of Quantitative Brain Imaging Biomarkers. IEEE Trans. Biomed. Eng. Kourosh Jafari-Khouzani, Kamran Paynabar, Fatemeh Hajighasemi, Bruce R. Rosen
2019	J	`jnl`	Image-Based Prognostics Using Penalized Tensor Regression. Technometrics Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel
2019	J	`jnl`	Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization. Technometrics Hao Yan, Kamran Paynabar, Massimo Pacella
2018	J	`jnl`	Dataset: Rare Event Classification in Multivariate Time Series. CoRR Chitta Ranjan, Markku Mustonen, Kamran Paynabar, Karim Pourak
2018	J	`jnl`	Large Multistream Data Analytics for Monitoring and Diagnostics in Manufacturing Systems. CoRR Samaneh Ebrahimi, Chitta Ranjan, Kamran Paynabar
2018	J	`jnl`	Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition. Technometrics Hao Yan, Kamran Paynabar, Jianjun Shi
2018	J	`jnl`	Structured Point Cloud Data Analysis via Regularized Tensor Regression for Process Modeling and Optimization. CoRR Hao Yan, Kamran Paynabar, Massimo Pacella
2018	J	`jnl`	Thresholded Multivariate Principal Component Analysis for Phase I Multichannel Profile Monitoring. Technometrics Yuan Wang, Yajun Mei, Kamran Paynabar
2017	J	`jnl`	Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition. Technometrics Hao Yan, Kamran Paynabar, Jianjun Shi
2017	J	`jnl`	Multistream sensor fusion-based prognostics model for systems with single failure modes. Reliab. Eng. Syst. Saf. Xiaolei Fang, Kamran Paynabar, Nagi Gebraeel
2016	J	`jnl`	A Change-Point Approach for Phase-I Analysis in Multivariate Profile Monitoring and Diagnosis. Technometrics Kamran Paynabar, Changliang Zou, Peihua Qiu
2016	J	`jnl`	An overview and perspective on social network monitoring. CoRR William H. Woodall, Meng J. Zhao, Kamran Paynabar, Ross Sparks, James D. Wilson
2016	J	`jnl`	Sequence Graph Transform (SGT): A Feature Extraction Function for Sequence Data Mining. CoRR Chitta Ranjan, Samaneh Ebrahimi, Kamran Paynabar
2015	J	`jnl`	Image-Based Process Monitoring Using Low-Rank Tensor Decomposition. IEEE Trans Autom. Sci. Eng. Hao Yan, Kamran Paynabar, Jianjun Shi
2015	J	`jnl`	Informative Sensor and Feature Selection via Hierarchical Nonnegative Garrote. Technometrics Kamran Paynabar, Judy Jin, Matthew P. Reed
2009	J	`jnl`	Identifying the period of a step change in high-yield processes. Qual. Reliab. Eng. Int. Rassoul Noorossana, Abbas Saghaei, Kamran Paynabar, Sara Abdi
2007	J	`jnl`	On the conditional decision procedure for high yield processes. Comput. Ind. Eng. Rassoul Noorossana, Abbas Saghaei, Kamran Paynabar, Yaser Samimi