Vadim Sokolov
Cited by
Cited by
Deep learning for short-term traffic flow prediction
N Polson, V Sokolov
Transportation Research Part C: Emerging Technologies 79, 1-17, 2017
POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations
J Auld, M Hope, H Ley, V Sokolov, B Xu, K Zhang
Transportation Research Part C: Emerging Technologies 64, 101-116, 2016
Deep learning: A Bayesian perspective
NG Polson, V Sokolov
Analysis of the effects of connected–automated vehicle technologies on travel demand
J Auld, V Sokolov, TS Stephens
Transportation Research Record 2625 (1), 1-8, 2017
Deep learning for spatio‐temporal modeling: dynamic traffic flows and high frequency trading
MF Dixon, NG Polson, VO Sokolov
Applied Stochastic Models in Business and Industry 35 (3), 788-807, 2019
Coordinated platoon routing in a metropolitan network
J Larson, T Munson, V Sokolov
2016 proceedings of the seventh siam workshop on combinatorial scientific …, 2016
An optimization technique for damped model updating with measured data satisfying quadratic orthogonality constraint
BN Datta, S Deng, VO Sokolov, DR Sarkissian
Mechanical Systems and Signal Processing 23 (6), 1759-1772, 2009
Clusters of driving behavior from observational smartphone data
J Warren, J Lipkowitz, V Sokolov
IEEE Intelligent Transportation Systems Magazine 11 (3), 171-180, 2019
Bayesian analysis of traffic flow on interstate I-55: The LWR model
N Polson, V Sokolov
Analyzing stochastic computer models: A review with opportunities
E Baker, P Barbillon, A Fadikar, RB Gramacy, R Herbei, D Higdon, ...
Statistical Science 37 (1), 64-89, 2022
Bayesian particle tracking of traffic flows
N Polson, V Sokolov
IEEE Transactions on Intelligent Transportation Systems 19 (2), 345-356, 2017
Maximization of platoon formation through centralized routing and departure time coordination
V Sokolov, J Larson, T Munson, J Auld, D Karbowski
Transportation Research Record 2667 (1), 10-16, 2017
A solution of the affine quadratic inverse eigenvalue problem
BN Datta, V Sokolov
Linear Algebra and its Applications 434 (7), 1745-1760, 2011
FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data.
H Chen, S Jajodia, J Liu, N Park, V Sokolov, VS Subrahmanian
IJCAI, 2074-2080, 2019
GREET Model: The Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation Model
M Wang, R Sabbisetti, A Elgowainy, D Dieffenthaler, A Anjum, V Sokolov
Chicago, USA: Argonne National Laboratory, 2014
Bayesian regularization: From Tikhonov to horseshoe
NG Polson, V Sokolov
Wiley Interdisciplinary Reviews: Computational Statistics 11 (4), e1463, 2019
Quadratic inverse eigenvalue problems, active vibration control and model updating
BN Datta, V Sokolov
Applied and Computational Mathematics 8 (2), 170-191, 2009
Bayesian optimization for transportation simulators
L Schultz, V Sokolov
Procedia computer science 130, 973-978, 2018
Deep Learning
VOS Nicholas G. Polson
Wiley StatsRef: Statistics Reference Online, 2019
Vehicle energy management optimization through digital maps and connectivity
D Karbowski, V Sokolov, A Rousseau
Argonne National Lab.(ANL), Argonne, IL (United States), 2015
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