| The internet of federated things (IoFT) R Kontar, N Shi, X Yue, S Chung, E Byon, M Chowdhury, J Jin, W Kontar, ... IEEE Access 9, 156071-156113, 2021 | 73 | 2021 |
| Gifair-fl: A framework for group and individual fairness in federated learning X Yue, M Nouiehed, R Al Kontar INFORMS Journal on Data Science, 2022 | 69 | 2022 |
| Fed-ensemble: Ensemble models in federated learning for improved generalization and uncertainty quantification N Shi, F Lai, R Al Kontar, M Chowdhury IEEE Transactions on Automation Science and Engineering, 2023 | 60* | 2023 |
| Why non-myopic Bayesian optimization is promising and how far should we look-ahead? A study via rollout X Yue, RAL Kontar International Conference on Artificial Intelligence and Statistics, 2808-2818, 2020 | 57* | 2020 |
| Nonparametric modeling and prognosis of condition monitoring signals using multivariate Gaussian convolution processes R Kontar, S Zhou, C Sankavaram, X Du, Y Zhang Technometrics 60 (4), 484-496, 2018 | 57 | 2018 |
| Stochastic gradient descent in correlated settings: A study on gaussian processes H Chen, L Zheng, R Al Kontar, G Raskutti Advances in neural information processing systems 33, 2722-2733, 2020 | 48 | 2020 |
| Minimizing negative transfer of knowledge in multivariate gaussian processes: A scalable and regularized approach R Kontar, G Raskutti, S Zhou IEEE transactions on pattern analysis and machine intelligence 43 (10), 3508 …, 2020 | 30 | 2020 |
| Joint models for event prediction from time series and survival data X Yue, RA Kontar Technometrics 63 (4), 477-486, 2021 | 29* | 2021 |
| Remaining useful life prediction based on degradation signals using monotonic B-splines with infinite support S Jahani, R Kontar, S Zhou, D Veeramani IISE Transactions 52 (5), 537-554, 2020 | 28 | 2020 |
| Nonparametric-condition-based remaining useful life prediction incorporating external factors R Kontar, S Zhou, C Sankavaram, X Du, Y Zhang IEEE Transactions on Reliability 67 (1), 41-52, 2018 | 28 | 2018 |
| Statistical monitoring of multiple profiles simultaneously using Gaussian processes S Jahani, R Kontar, D Veeramani, S Zhou Quality and Reliability Engineering International 34 (8), 1510-1529, 2018 | 25 | 2018 |
| Personalized PCA: Decoupling Shared and Unique Features N Shi, R Al Kontar Journal of Machine Leaning Research 25 (41), 1-82, 2024 | 20 | 2024 |
| Look-ahead decision making for renewable energy: A dynamic “predict and store” approach J Wang, S Chung, A AlShelahi, R Kontar, E Byon, R Saigal Applied Energy 296, 117068, 2021 | 19 | 2021 |
| Personalized federated learning via domain adaptation with an application to distributed 3D printing N Shi, RA Kontar Technometrics 65 (3), 328-339, 2023 | 18 | 2023 |
| Salr: Sharpness-aware learning rate scheduler for improved generalization X Yue, M Nouiehed, R Al Kontar IEEE Transactions on Neural Networks and Learning Systems, 2023 | 17* | 2023 |
| Parameter calibration in wake effect simulation model with stochastic gradient descent and stratified sampling B Liu, X Yue, E Byon, RA Kontar The Annals of Applied Statistics 16 (3), 1795-1821, 2022 | 17 | 2022 |
| Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling X Yue, R Kontar IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 15 | 2024 |
| Federated data analytics: A study on linear models X Yue, RA Kontar, AME Gómez IISE Transactions 56 (1), 16-28, 2024 | 14 | 2024 |
| A simple approach to multivariate monitoring of production processes with non-Gaussian data Q Dong, R Kontar, M Li, G Xu, J Xu Journal of Manufacturing Systems 53, 291-304, 2019 | 14 | 2019 |
| Optimize to generalize in Gaussian processes: An alternative objective based on the Rényi divergence X Yue, R Al Kontar IISE Transactions 56 (6), 600-610, 2024 | 12* | 2024 |
Xubo YueAssistant Professor, Northeastern Universitynortheastern.edu의 이메일 확인됨