Brian D. Ziebart - Concepedia

Author

Brian D. Ziebart

University of Illinois Chicago ORCID

Also Known As

B. Ziebart, B.D. Ziebart, Brian D. Ziebart, Brian Ziebart, Ziebart, Brian, Ziebart, Brian D.

Publications

Citations

H-Index

136

Concepts

All Affiliations

University of Illinois Chicago Carnegie Mellon University University of Illinois Urbana-Champaign Intel (United States)

About

Brian D. Ziebart is an author at University of Illinois Chicago specializing in computer science, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	28	1.6K
2	Management	7	7	506
3	Language Studies	3	3	63
4	Business	2	2	56
5	Health Sciences	2	2	62

Brian D. Ziebart

Publications

4.1K

Citations

H-Index

Page 1

	Year	Citations
Maximum Entropy Inverse Reinforcement Learning Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)	2008	2K
Planning-based prediction for pedestrians Brian D. Ziebart, Nathan Ratliff, Garratt Gallagher, Artificial IntelligenceCrowd SimulationEngineeringMachine LearningIntelligent Robotics	2009	469
Navigate like a cabbie Brian D. Ziebart, Andrew L. Maas, Anind K. Dey, Route ChoiceObserved Context-aware BehaviorCognitive ScienceEngineeringData Science	2008	272
Modeling Interaction via the Principle of Maximum Causal Entropy Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey Figshare	2018	189
Probabilistic pointing target prediction via inverse optimal control Brian D. Ziebart, Anind Dey, J. Andrew Bagnell Artificial IntelligenceEngineeringMachine LearningField RoboticsIntelligent Systems	2012	89
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs Kaiser Asif, Lu Zhang, Sybil Derrible, Journal of Intelligent Manufacturing Friction WeldingEngineeringMachine LearningData ScienceWelding Process	2020	84
Robust Classification Under Sample Selection Bias Anqi Liu, Brian D. Ziebart Neural Information Processing Systems EngineeringMachine LearningTarget DistributionClassification MethodData Science	2014	69
Both Nearest Neighbours and Long-term Affiliates Predict Individual Locations During Collective Movement in Wild Baboons Damien R. Farine, Ariana Strandburg‐Peshkin, Tanya Berger‐Wolf, Scientific Reports	2016	67
TherML Christian Koehler, Brian D. Ziebart, Jennifer Mankoff, EngineeringEnergy EfficiencyWearable TechnologyHome AutomationSmart Environment	2013	65
The Principle of Maximum Causal Entropy for Estimating Interacting Processes Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey IEEE Transactions on Information Theory EngineeringGame TheoryCausal InferenceData ScienceDirected Information Theory	2013	57

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