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Contributions to Internet of Things (IoT)-enabled systems

IIE transactions, 2023-04, Vol.55 (4), p.329-330

2023

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Intelligent Feedrate Optimization using an Uncertainty-aware Digital Twin within a Model Predictive Control Framework

IEEE access, 2024-01, Vol.12, p.1-1

2024

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SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization

IEEE transaction on neural networks and learning systems, 2024-09, Vol.35 (9), p.12518-12527

2024

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Federated Condition Monitoring Signal Prediction With Improved Generalization

IEEE transactions on reliability, 2024-03, Vol.73 (1), p.1-13

2024

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Optimize to generalize in Gaussian processes: An alternative objective based on the Rényi divergence

IIE transactions, 2024-06, Vol.ahead-of-print (ahead-of-print), p.1-11

2024

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Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing

Technometrics, 2023-07, Vol.65 (3), p.328-339

2023

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Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

JMIR formative research, 2023-12, Vol.7, p.e51921-e51921

2023

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Joint Models for Event Prediction From Time Series and Survival Data

Technometrics, 2021-10, Vol.63 (4), p.477-486

2021

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Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification

IEEE transactions on automation science and engineering, 2024-07, Vol.21 (3), p.2792-2803

2024

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Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes

Technometrics, 2024-07, p.1-14

2024

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Performance evaluation of a prescription medication image classification model: an observational cohort

NPJ digital medicine, 2021-07, Vol.4 (1), p.118-118, Article 118

2021

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Federated data analytics: A study on linear models

IIE transactions, 2024-01, Vol.ahead-of-print (ahead-of-print), p.1-13

2024

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Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling

The annals of applied statistics, 2022-09, Vol.16 (3)

2022

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A MultiStage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing

IEEE transactions on automation science and engineering, 2022-07, p.1-13

2022

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A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing

IEEE transactions on automation science and engineering, 2022-07, Vol.19 (3), p.1675-1687

2022

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Federated Multi-Output Gaussian Processes

Technometrics, 2024-01, Vol.66 (1), p.90-103

2024

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Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort

NPJ digital medicine, 2022-02, Vol.5 (1), p.22-22, Article 22

2022

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Personalized feature extraction for manufacturing process signature characterization and anomaly detection

Journal of manufacturing systems, 2024-06, Vol.74, p.435-448

2024

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A continual learning framework for adaptive defect classification and inspection

Journal of quality technology, 2023-10, Vol.ahead-of-print (ahead-of-print), p.1-17

2023

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GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning

INFORMS journal on data science, 2023-04, Vol.2 (1), p.10-23

2023

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Weakly Supervised Multi-output Regression via Correlated Gaussian Processes

INFORMS journal on data science, 2022-10, Vol.1 (2), p.115-137

2022

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Rethinking Cost-Sensitive Classification in Deep Learning via Adversarial Data Augmentation

INFORMS journal on data science, 2024-02

2024

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Data-Driven Modeling and Prognosis of Condition Monitoring Signals in Engineering Systems

Al Kontar, Raed

2018

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Contributions to Internet of Things (IoT)-enabled systems

Intelligent Feedrate Optimization using an Uncertainty-aware Digital Twin within a Model Predictive Control Framework

SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization

Federated Condition Monitoring Signal Prediction With Improved Generalization

Optimize to generalize in Gaussian processes: An alternative objective based on the Rényi divergence

Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Joint Models for Event Prediction From Time Series and Survival Data

Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification

Multi-Agent Collaborative Bayesian Optimization via Constrained Gaussian Processes

Performance evaluation of a prescription medication image classification model: an observational cohort

Federated data analytics: A study on linear models

Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling

A MultiStage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing

A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing

Federated Multi-Output Gaussian Processes

Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort

Personalized feature extraction for manufacturing process signature characterization and anomaly detection

A continual learning framework for adaptive defect classification and inspection

GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning

Weakly Supervised Multi-output Regression via Correlated Gaussian Processes

Rethinking Cost-Sensitive Classification in Deep Learning via Adversarial Data Augmentation

Data-Driven Modeling and Prognosis of Condition Monitoring Signals in Engineering Systems

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