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 | 17 | 2019 |
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 | 8 | 2022 |
Meta-learning in healthcare: A survey A Rafiei, R Moore, S Jahromi, F Hajati, R Kamaleswaran SN Computer Science 5 (6), 791, 2024 | 7 | 2024 |
Transfer causal learning: Causal effect estimation with knowledge transfer S Wei, R Moore, H Zhang, Y Xie, R Kamaleswaran ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 6 | 2023 |
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 25 (3), 212-221, 2024 | 4 | 2024 |
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 | 2 | 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 | 1 | 2024 |
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 |
PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT R Moore, D Chanci, S Brown, MJ Ripple, NR Bishop, J Grunwell, ... Shock 63 (1), 80-87, 2025 | | 2025 |
Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients A Rafiei, R Moore, T Choudhary, C Marshall, G Smith, JD Roback, ... Health Data Science 4, 0197, 2024 | | 2024 |
Transfer Learning for Causal Effect Estimation S Wei, H Zhang, R Moore, R Kamaleswaran, Y Xie arXiv preprint arXiv:2305.09126, 2023 | | 2023 |
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data R Moore, R Kamaleswaran arXiv preprint arXiv:2212.06364, 2022 | | 2022 |