Brian D Ziebart
机构: Associate Professor of Computer Science, University of Illinois at Chicago
主页: uic.edu
每年引用次数
引用次数
引用: 8,819
H-指数: 32
I10-指数 : 54
出版物: 105
Towards uniformly superhuman autonomy via subdominance minimization
Brian Ziebart , Sanjiban Choudhury , Xinyan Yan , Paul Vernaza
International Conference on Machine Learning 27654 -27670
2
2022
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
Kaiser Asif , Lu Zhang , Sybil Derrible , J Ernesto Indacochea
Journal of Intelligent Manufacturing 1 -15
51
2022
Dynamic application composition: Customizing the behavior of an active space
Manuel Román , Brian Ziebart , Roy H Campbell
IEEE International Conference on Pervasive Computing and Communications (PerCom) 169 -176
45
2003
System support for rapid ubiquitous computing application development and evaluation
Manuel Roman , Jalal Al-Muhtadi , Brian Ziebart , Roy Campbell
System Support for Ubiquitous Computing Workshop (UbiSys) in conjunction with UbiComp 3
15
2003
Social Information Improves Location Prediction in the Wild
Jia Li , Ivan Brugere , Brian Ziebart , Tanya Berger-Wolf
AAAI International Workshop on Trajectory-based Behaviour Analytics
14
2015
Fairness for robust learning to rank
Omid Memarrast , Ashkan Rezaei , Rizal Fathony , Brian Ziebart
Springer Nature Switzerland 544 -556
10
2023
Distributionally robust imitation learning
Mohammad Ali Bashiri , Brian Ziebart , Xinhua Zhang
Advances in neural information processing systems 34 24404 -24417
6
2021
Evaluating Gaia using a pervasive computing benchmark
Anand Ranganathan , Jalal Al-Muhtadi , Jacob Biehl , Brian Ziebart
University of Illinois at Urbana Champaign, IL, Tech. Rep
6
2005
Using machine learning to predict welding quality from airborne AE sensor data.
Kaiser Asif , Lu Zhang , Sybil Derrible , Ernesto Indacochea
Journal of Acoustic Emission 36
4
2019
A remote health coaching, text-based walking program in ethnic minority primary care patients with overweight and obesity: feasibility and acceptability pilot study
Mary H Smart , Nadia A Nabulsi , Ben S Gerber , Itika Gupta
JMIR Formative Research 6 ( 1) e31989 -e31989
3
2022
Distributionally robust structure learning for discrete pairwise markov networks
Yeshu Li , Zhan Shi , Xinhua Zhang , Brian Ziebart
International Conference on Artificial Intelligence and Statistics 8997 -9016
1
2022
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Yeshu Li , Brian Ziebart
Advances in Neural Information Processing Systems 36
2024
Robot Learning to Mop Like Humans Using Video Demonstrations
Sanket Gaurav , Aaron Crookes , David Hoying , Vignesh Narayanaswamy
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 9947 -9954
2023
Risk-averse policy optimization via risk-neutral policy optimization
Lorenzo Bisi , Davide Santambrogio , Federico Sandrelli , Andrea Tirinzoni
Artificial Intelligence 311 103765
2
2022
Adversarial Sequence Tagging.
Jia Li , Kaiser Asif , Hong Wang , Brian D Ziebart
IJCAI 1690 -1696
17
2016
Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior
Brian D Ziebart , Andrew L Maas , Anind K Dey , J Andrew Bagnell
322 -331
399
2008
System, method and device for predicting navigational decision-making behavior
Anind K Dey , James Andrew Bagnell , Brian D Ziebart
297
2013
Computational rationalization: The inverse equilibrium problem
Kevin Waugh , Brian D Ziebart , J Andrew Bagnell
arXiv preprint arXiv:1308.3506
93
2013
Human Behavior Modeling with Maximum Entropy Inverse Optimal Control.
Brian D Ziebart , Andrew L Maas , J Andrew Bagnell , Anind K Dey
AAAI spring symposium: human behavior modeling 92
79
2009
Fast Planning for Dynamic Preferences.
Brian D Ziebart , Anind K Dey , J Andrew Bagnell
ICAPS 412 -419
17
2008