most citedCan transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto

51 citations · 79 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG202224 cited

Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

Elnaz Yousefzadeh Barri, Steven Farber, Hadi Jahanshahi +1

Building an accurate model of travel behaviour based on individuals' characteristics and built environment attributes is of importance for policy-making and transportation planning…

cs.SE2022

ADPTriage: Approximate Dynamic Programming for Bug Triage

Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi +1

Bug triaging is a critical task in any software development project. It entails triagers going over a list of open bugs, deciding whether each is required to be addressed, and, if…

physics.soc-ph202251 cited

Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto

Elnaz Yousefzadeh Barri, Steven Farber, Anna Kramer +3

Transportation equity advocates recommend improving public transit in low-income neighbourhoods to alleviate socio-spatial inequalities and increase quality of life. However, trans…

cs.IR2021

Text Classification for Predicting Multi-level Product Categories

Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik +4

In an online shopping platform, a detailed classification of the products facilitates user navigation. It also helps online retailers keep track of the price fluctuations in a cert…

cs.SE2021

DABT: A Dependency-aware Bug Triaging Method

Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik +1

In software engineering practice, fixing a bug promptly reduces the associated costs. On the other hand, the manual bug fixing process can be time-consuming, cumbersome, and error-…

cs.SE20214 cited

Predicting the Number of Reported Bugs in a Software Repository

Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar

The bug growth pattern prediction is a complicated, unrelieved task, which needs considerable attention. Advance knowledge of the likely number of bugs discovered in the software s…