| The dataset nutrition label S Holland, A Hosny, S Newman, J Joseph, K Chmielinski Data Protection and Privacy 12 (12), 1, 2020 | 325 | 2020 |
| Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns GS Aoude, BD Luders, JM Joseph, N Roy, JP How Autonomous Robots 35, 51-76, 2013 | 325 | 2013 |
| A Bayesian nonparametric approach to modeling motion patterns J Joseph, F Doshi-Velez, AS Huang, N Roy Autonomous Robots 31, 383-400, 2011 | 208 | 2011 |
| Mobile agent trajectory prediction using Bayesian nonparametric reachability trees G Aoude, J Joseph, N Roy, J How Infotech@ Aerospace 2011, 1512, 2011 | 100 | 2011 |
| Learning perceptually grounded word meanings from unaligned parallel data S Tellex, P Thaker, J Joseph, N Roy Machine Learning 94 (2), 151-167, 2014 | 81 | 2014 |
| Physics-informed reinforcement learning optimization of nuclear assembly design MI Radaideh, I Wolverton, J Joseph, JJ Tusar, U Otgonbaatar, N Roy, ... Nuclear Engineering and Design 372, 110966, 2021 | 49 | 2021 |
| Reinforcement learning with misspecified model classes J Joseph, A Geramifard, JW Roberts, JP How, N Roy 2013 IEEE International Conference on Robotics and Automation, 939-946, 2013 | 46 | 2013 |
| Probabilistically safe avoidance of dynamic obstacles with uncertain motion patterns BD Luders, GS Aoude, JM Joseph, N Roy, JP How | 20 | 2011 |
| Deep Learning Unlocks X‐ray Microtomography Segmentation of Multiclass Microdamage in Heterogeneous Materials R Kopp, J Joseph, X Ni, N Roy, BL Wardle Advanced Materials 34 (11), 2107817, 2022 | 16 | 2022 |
| Model estimation within planning and learning A Geramifard, JD Redding, J Joseph, N Roy, JP How 2012 American Control Conference (ACC), 793-799, 2012 | 12 | 2012 |
| Symbolic relation networks for reinforcement learning D Adjodah, T Klinger, J Joseph Proceedings of the Workshop on Relational Representation Learning in …, 2018 | 10 | 2018 |
| The dataset nutrition label: a framework to drive higher data quality standards (2018) S Holland, A Hosny, S Newman, J Joseph, K Chmielinski CoRR arXiv, 2018 | 10* | 2018 |
| COVID-19: Prediction, prevalence, and the operations of vaccine allocation A Bennouna, J Joseph, D Nze-Ndong, G Perakis, D Singhvi, OS Lami, ... Manufacturing & Service Operations Management 25 (3), 1013-1032, 2023 | 9 | 2023 |
| Toward learning perceptually grounded word meanings from unaligned parallel data S Tellex, P Thaker, J Joseph, N Roy Proceedings of the Second Workshop on Semantic Interpretation in an …, 2012 | 6 | 2012 |
| The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards. CoRR abs/1805.03677 (2018) S Holland, A Hosny, S Newman, J Joseph, K Chmielinski | 6 | 1805 |
| Automated Segmentation of In Situ X-ray Microtomography of Progressive Damage in Advanced Composites via Deep Learning R Kopp, J Joseph, BL Wardle AIAA Scitech 2021 Forum, 2024, 2021 | 5 | 2021 |
| A study of compositional generalization in neural models T Klinger, D Adjodah, V Marois, J Joseph, M Riemer, AS Pentland, ... arXiv preprint arXiv:2006.09437, 2020 | 5 | 2020 |
| A Bayesian nonparametric approach to modeling battery health J Joseph, F Doshi-Velez, N Roy 2012 IEEE International Conference on Robotics and Automation, 1876-1882, 2012 | 5 | 2012 |
| The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards. arXiv e-prints, page S Holland, A Hosny, S Newman, J Joseph, K Chmielinski arXiv preprint arXiv:1805.03677, 2018 | 3 | 2018 |
| Reduced-order models for data-limited reinforcement learning J Joseph, N Roy ICML 2011 Workshop on Planning and Acting with Uncertain Models, 2011 | 2 | 2011 |
