384 citations · 690 across the 7 of their papers we have counts for
11 papers
Driver2vec: Driver Identification from Automotive Data
Jingbo Yang, Ruge Zhao, Meixian Zhu +3
With increasing focus on privacy protection, alternative methods to identify vehicle operator without the use of biometric identifiers have gained traction for automotive data anal…
MASA: Motif-Aware State Assignment in Noisy Time Series Data
Saachi Jain, David Hallac, Rok Sosic +1
Complex systems, such as airplanes, cars, or financial markets, produce multivariate time series data consisting of a large number of system measurements over a period of time. Suc…
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data
David Hallac, Suvrat Bhooshan, Michael Chen +3
With automobiles becoming increasingly reliant on sensors to perform various driving tasks, it is important to encode the relevant CAN bus sensor data in a way that captures the ge…
Distributed Majorization-Minimization for Laplacian Regularized Problems
Jonathan Tuck, David Hallac, Stephen Boyd
We consider the problem of minimizing a block separable convex function (possibly nondifferentiable, and including constraints) plus Laplacian regularization, a problem that arises…
Learning Structural Node Embeddings Via Diffusion Wavelets
Claire Donnat, Marinka Zitnik, David Hallac +1
Nodes residing in different parts of a graph can have similar structural roles within their local network topology. The identification of such roles provides key insight into the o…
Driver Identification Using Automobile Sensor Data from a Single Turn
David Hallac, Abhijit Sharang, Rainer Stahlmann +5
As automotive electronics continue to advance, cars are becoming more and more reliant on sensors to perform everyday driving operations. These sensors are omnipresent and help the…