| Aida: a social co-robot to uplift workers with intellectual and developmental disabilities AB Williams, RM Williams, RE Moore, M McFarlane 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 12 | 2019 |
| Meta-learning in healthcare: A survey A Rafiei, R Moore, S Jahromi, F Hajati, R Kamaleswaran arXiv preprint arXiv:2308.02877, 2023 | 3 | 2023 |
| Improving Sepsis Prediction Model Generalization With Optimal Transport J Wang, R Moore, Y Xie, R Kamaleswaran Proceedings of Machine Learning Research 193, 474-488, 2022 | 3 | 2022 |
| Development and Validation of a Model for Endotracheal Intubation and Mechanical Ventilation Prediction in PICU Patients D Chanci, JR Grunwell, A Rafiei, R Moore, NR Bishop, P Rajapreyar, ... Pediatric Critical Care Medicine, 10.1097, 2023 | 2 | 2023 |
| Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer S Wei, R Moore, H Zhang, Y Xie, R Kamaleswaran arXiv preprint arXiv:2305.09126, 2023 | 2 | 2023 |
| Towards a Learning Architecture to Support Social Scaffolding for an Artificially Intelligent Disability Assistant R Moore, AB Williams Companion of the 2021 ACM/IEEE International Conference on Human-Robot …, 2021 | 1 | 2021 |
| AIDA: Using Social Scaffolding to Assist Workers with Intellectual and Developmental Disabilities R Moore, AB Williams Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 1 | 2020 |
| Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients A Rafiei, R Moore, T Choudhary, C Marshall, G Smith, JD Roback, ... arXiv preprint arXiv:2401.00972, 2024 | | 2024 |
| ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data R Moore, R Kamaleswaran arXiv preprint arXiv:2212.06364, 2022 | | 2022 |
