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Robust spatial-temporal incident prediction
Ayan Mukhopadhyay
, Mykel Kochenderfer
, Kai Wang
, Milind Tambe
, Andrew Perrault
, Yevgeniy Vorobeychik
Department of Computer Science & Engineering
Research output
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Contribution to conference
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Paper
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peer-review
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Keyphrases
Spatial-temporal
100%
Spatial Shift
100%
Incident Prediction
100%
Predictive Models
50%
Spatiotemporal
50%
Discrete-time
50%
Law Enforcement
50%
Continuous-time
50%
Human Trafficking
50%
Gradient-based Approach
50%
Smuggling
50%
Burglary
50%
Poaching
50%
Robust Optimization Problem
50%
Fighting Crime
50%
Illegal Fishing
50%
Constraint Generation Algorithm
50%
Computer Science
Conventional Method
100%
Optimization Problem
100%
Predictive Model
100%
Continuous Time
100%
discrete-time
100%
Robust Optimization
100%