Raed Kontar
Orcid: 0000-0002-4546-324X
According to our database1,
Raed Kontar
authored at least 46 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Fed-ensemble: Ensemble Models in Federated Learning for Improved Generalization and Uncertainty Quantification.
IEEE Trans Autom. Sci. Eng., July, 2024
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024
IEEE Trans. Reliab., March, 2024
CoRR, 2024
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning.
CoRR, 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.
CoRR, 2024
Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes.
CoRR, 2024
Intelligent Feedrate Optimization Using an Uncertainty-Aware Digital Twin Within a Model Predictive Control Framework.
IEEE Access, 2024
2023
Personalized Federated Learning via Domain Adaptation with an Application to Distributed 3D Printing.
Technometrics, July, 2023
CoRR, 2023
Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data.
CoRR, 2023
Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes.
SIAM/ASA J. Uncertain. Quantification, December, 2022
A Multi-Stage Approach for Knowledge-Guided Predictions With Application to Additive Manufacturing.
IEEE Trans Autom. Sci. Eng., 2022
Author Correction: Performance evaluation of a prescription medication image classification model: an observational cohort.
npj Digit. Medicine, 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits.
J. Mach. Learn. Res., 2022
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation.
CoRR, 2022
CoRR, 2022
2021
Functional Principal Component Analysis for Extrapolating Multistream Longitudinal Data.
IEEE Trans. Reliab., 2021
Technometrics, 2021
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
Performance evaluation of a prescription medication image classification model: an observational cohort.
npj Digit. Medicine, 2021
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits.
CoRR, 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.
CoRR, 2021
CoRR, 2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning.
CoRR, 2021
2020
Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support.
IISE Trans., 2020
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons.
CoRR, 2019
Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data.
CoRR, 2019
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes.
CoRR, 2019
2018
Nonparametric-Condition-Based Remaining Useful Life Prediction Incorporating External Factors.
IEEE Trans. Reliab., 2018
Nonparametric Modeling and Prognosis of Condition Monitoring Signals Using Multivariate Gaussian Convolution Processes.
Technometrics, 2018
Qual. Reliab. Eng. Int., 2018
2017
Estimation and monitoring of key performance indicators of manufacturing systems using the multi-output Gaussian process.
Int. J. Prod. Res., 2017