Biblio

Found 12 results
Author Title Type [ Year(Asc)]
Filters: Author is Julie Shah  [Clear All Filters]
2017
Gombolay, M., A. Bair, C. Huang, and J. Shah, "Computational Design of Mixed-Initiative Human–Robot Teaming That Considers Human Factors: Situational Awareness, Workload, and Workflow Preferences", The International Journal of Robotics Research (IJRR), vol. 36, issue 5-7, pp. 597-617, 02/2017.
Kotowick, K., and J. Shah, "Intelligent Sensory Modality Selection for Electronic Supportive Devices", ACM Intelligent User Interfaces (IUI 2017), 03/2017.
Ramakrishnan, R., C. Zhang, and J. Shah, "Perturbation Training for Human-Robot Teams", Journal of Artificial Intelligence Research, vol. 59, 07/2017.
2016
Gombolay, M., R. Jensen, J. Stigile, S-H. Son, and J. Shah, "Apprenticeship Scheduling: Learning to Schedule from Human Experts", Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 07/2016.
Butchibabu, A., C. Sparano-Huiban, L. Sonenberg, and J. Shah, "Implicit Coordination Strategies for Effective Team Communication", Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 58, issue 4, 06/2016.
Gombolay, M., X. Jessie Yang, B. Hayes, N. Seo, Z. Liu, S. Wadhwania, T. Yu, N. Shah, T. Golen, and J. Shah, "Robotic Assistance in Coordination of Patient Care", Proceedings of Robotics: Science and Systems ({RSS}), Ann Arbor, MI, U.S.A., June 20-22, 2016.
2015
Pérez-D'Arpino, C., and J. Shah, "Fast Target Prediction of Human Reaching Motion for Cooperative Human-Robot Manipulation Tasks Using Time Series Classification", IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, 05/2015.
Nikolaidis, S., P. Lasota, R. Ramakrishnan, and J. Shah, "Improved human–robot team performance through cross-training, an approach inspired by human team training practices", The International Journal of Robotics Research (IJRR), vol. 34, issue 14, pp. 1711-1730, 12/2015.
Kim, B., J. Shah, and F. Doshi-Velez, "Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction", Advances in Neural Information Processing Systems (NIPS), 12/2015.
Kim, B., K. Patel, A. Rostamizadeh, and J. Shah, "Scalable and interpretable data representation for high-dimensional, complex data", AAAI Conference on Artificial Intelligence (AAAI-15), 2015.