Biblio

Found 24 results
Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is K  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
Kim, B., C. Rudin, and J. Shah, "The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification", Neural Information Processing Systems (NIPS), 12/2014.
Kim, J., C. Muise, A. Shah, S. Agarwal, and J. Shah, "Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations", International Joint Conference on Artificial Intelligence (IJCAI), Macau, China, 08/2019.
Shah, A., P. Kamath, S. Li, and J. Shah, "Bayesian Inference of Temporal Task Specifications from Demonstrations", Conference on Neural Information Processing Systems, Montreal, Canada, 2018.
C
Kim, J., C. J. Banks, and J. A. Shah, "Collaborative Planning with Encoding of Users’ High-level Strategies", AAAI Conference on Artificial Intelligence (AAAI), 02/2017.
D
Ramakrishnan, R., E. Kamar, D. Dey, J. Shah, and E. Horvitz, "Discovering Blind Spots in Reinforcement Learning", International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 07/2018.
I
Kim, J., and J. A. Shah, "Improving Team's Consistency of Understanding in Meetings", IEEE Transactions on Human-Machine Systems (THMS), vol. 46, issue 5, pp. 625-637, 04/2016.
Kim, J., "Improving Team's Consistency of Understanding in Meetings: Intelligent Agent Participation and Human Subject Studies", Aeronautics and Astronautics, vol. S.M., Cambridge, MA, Massachusetts Institute of Technology, pp. 66, 2015.
Kim, B., C. M. Chacha, and J. A. Shah, "Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior", AAAI Conference on Artificial Intelligence (AAAI) [29% Acceptance Rate], 07/2013.
Kim, B., C. M. Chacha, and J. A. Shah, "Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior", Journal of Artificial Intelligence Research (JAIR) , pp. 361-398, 2015.
Kotowick, K., and J. Shah, "Intelligent Sensory Modality Selection for Electronic Supportive Devices", ACM Conference on Intelligent User Interfaces (IUI), 03/2017.
Kim, B., "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", Department of Aeronautics and Astronautics, vol. Ph. D., 2015.
L
Kim, J., M. E. Woicik, M. C. Gombolay, S-H. Son, and J. A. Shah, "Learning to Infer Final Plans in Human Team Planning", International Joint Conferences on Artificial Intelligence (IJCAI), 07/2018.
M
Kim, B., J. Shah, and F. Doshi-Velez, "Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction", Neural Information Processing Systems (NIPS), 12/2015.
Muise, C., S. Wollenstein-Betech, S. Booth, J. Shah, and Y. Khazaen, "Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
Muise, C., S. Wollenstein-Betech, S. Booth, J. Shah, and Y. Khazaen, "Modeling Blackbox Agent Behaviour via Knowledge Compilation", AAAI Conference on Artificial Intelligence, Workshop on Plan, Activity, and Intent Recognition (PAIR), 2020.
P
Fong, T., J. Scholtz, J. A. Shah, L. Fluckiger, C. Kunz, D. Lees, J. Schreiner, M. Siegel, L. M. Hiatt, I. Nourbakhsh, et al., "A Preliminary Study of Peer-to-Peer Human-Robot Interaction", IEEE International Conference on Systems, Man, and Cybernetics (SMC), 10/2006.
Q
Kim, B., L. Bush, and J. A. Shah, "Quantitative Estimation of the Strength of Agreements in Goal-Oriented Meetings", IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 02/2013.
S
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), 01/2015.
Kelessoglou, M. Theologos, "Simulation and Comparative Evaluation of Flexible Automotive Assembly Layouts", Department of Electrical Engineering and Computer Science, vol. M. Eng., 2016.