1k citations · 1.3k across the 26 of their papers we have counts for
4 papers · 1 filter
Clusters of Driving Behavior from Observational Smartphone Data
Josh Warren, Jeff Lipkowitz, Vadim Sokolov
Understanding driving behaviors is essential for improving safety and mobility of our transportation systems. Data is usually collected via simulator-based studies or naturalistic…
Deep Learning: A Bayesian Perspective
Nicholas Polson, Vadim Sokolov
Deep learning is a form of machine learning for nonlinear high dimensional pattern matching and prediction. By taking a Bayesian probabilistic perspective, we provide a number of i…
Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading
Matthew F. Dixon, Nicholas G. Polson, Vadim O. Sokolov
Deep learning applies hierarchical layers of hidden variables to construct nonlinear high dimensional predictors. Our goal is to develop and train deep learning architectures for s…
Platoon formation maximization through centralized routing and departure time coordination
Vadim Sokolov, Jeffrey Larson, Todd Munson +2
Platooning allows vehicles to travel with small intervehicle distance in a coordinated fashion thanks to vehicle-to-vehicle connectivity. When applied at a larger scale, platooning…