most citedCharacterizing Driving Context from Driver Behavior

19 citations · 23 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DB2020

Interactive and Explainable Point-of-Interest Recommendation using Look-alike Groups

Behrooz Omidvar-Tehrani, Sruthi Viswanathan, Jean-Michel Renders

Recommending Points-of-Interest (POIs) is surfacing in many location-based applications. The literature contains personalized and socialized POI recommendation approaches which emp…

cs.DB2019

Exploration of Interesting Dense Regions in Spatial Data

Placido A. Souza Neto, Francisco B. Silva Junior, Felipe F. Pontes +1

Nowadays, spatial data are ubiquitous in various fields of science, such as transportation and the social Web. A recent research direction in analyzing spatial data is to provide m…

cs.DB2017

Exploration of User Groups in VEXUS

Sihem Amer-Yahia, Behrooz Omidvar-Tehrani, Joao Comba +2

We introduce VEXUS, an interactive visualization framework for exploring user data to fulfill tasks such as finding a set of experts, forming discussion groups and analyzing collec…

cs.AI201719 cited

Characterizing Driving Context from Driver Behavior

Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig +2

Because of the increasing availability of spatiotemporal data, a variety of data-analytic applications have become possible. Characterizing driving context, where context may be th…

cs.OH20174 cited

Annotation of Car Trajectories based on Driving Patterns

Sobhan Moosavi, Behrooz Omidvar-Tehrani, R. Bruce Craig +1

Nowadays, the ubiquity of various sensors enables the collection of voluminous datasets of car trajectories. Such datasets enable analysts to make sense of driving patterns and beh…