activity
20142021
most citedThe path most travelled: Mining road usage patterns from massive call data

15 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2021

Probabilistic Programming Bots in Intuitive Physics Game Play

Fahad Alhasoun, Sarah Alnegheimish, Joshua Tenenbaum

Recent findings suggest that humans deploy cognitive mechanism of physics simulation engines to simulate the physics of objects. We propose a framework for bots to deploy probabili…

cs.CV2019

Streetify: Using Street View Imagery And Deep Learning For Urban Streets Development

Fahad Alhasoun, Marta Gonzalez

The classification of streets on road networks has been focused on the vehicular transportational features of streets such as arterials, major roads, minor roads and so forth based…

stat.AP2017

Demographical Priors for Health Conditions Diagnosis Using Medicare Data

Fahad Alhasoun, May Alhazzani, Marta C. González

This paper presents an example of how demographical characteristics of patients influence their susceptibility to certain medical conditions. In this paper, we investigate the asso…

cs.SI2017★ 8 cited

Urban Attractors: Discovering Patterns in Regions of Attraction in Cities

May Alhazzani, Fahad Alhasoun, Zeyad Alawwad +1

Understanding the dynamics by which urban areas attract visitors is significant for urban development in cities. In addition, identifying services that relate to highly attractive…

physics.soc-ph2014★ 15 cited

The path most travelled: Mining road usage patterns from massive call data

Jameson L. Toole, Serdar Colak, Fahad Alhasoun +2

Rapid urbanization places increasing stress on already burdened transportation systems, resulting in delays and poor levels of service. Billions of spatiotemporal call detail recor…