| Being Bayesian about Categorical Probability T Joo, U Chung, MG Seo Proceedings of the 37th International Conference on Machine Learning 119 …, 2020 | 60 | 2020 |
| Formalizing Human–Machine Interactions for Adaptive Automation in Smart Manufacturing T Joo, D Shin IEEE Transactions on Human-Machine Systems 49 (6), 529-539, 2019 | 13 | 2019 |
| Revisiting Explicit Regularization in Neural Networks for Well-Calibrated Predictive Uncertainty T Joo, U Chung arXiv preprint arXiv:2006.06399, 2020 | 10 | 2020 |
| Task Allocation in Human–Machine Manufacturing Systems Using Deep Reinforcement Learning T Joo, H Jun, D Shin Sustainability 14 (4), 2245, 2022 | 7 | 2022 |
| Regularizing activations in neural networks via distribution matching with the Wasserstein metric T Joo, D Kang, B Kim International Conference on Learning Representations, 2020 | 6 | 2020 |
| An adaptive approach for determining batch sizes using the hidden Markov model T Joo, M Seo, D Shin Journal of Intelligent Manufacturing 30 (2), 917-932, 2019 | 4 | 2019 |
| IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation T Joo, D Klabjan arXiv preprint arXiv:2310.10611, 2023 | | 2023 |
Uijung ChungESTsoftVerified email at estsoft.com
