9 citations · 10 across the 5 of their papers we have counts for
7 papers
Investigating the Impact of COVID-19 on Education by Social Network Mining
Mohadese Jamalian, Hamed Vahdat-Nejad, Hamideh Hajiabadi
The Covid-19 virus has been one of the most discussed topics on social networks in 2020 and 2021 and has affected the classic educational paradigm, worldwide. In this research, man…
Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area
Sajedeh Abbasi, Hamed Vahdat-Nejad, Hamideh Hajiabadi
Flood is a natural phenomenon that causes severe environmental damage and destruction in smart cities. After a flood, topographic, geological, and living conditions change. As a re…
Extracting Feelings of People Regarding COVID-19 by Social Network Mining
Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi +5
In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks. Each day, users post millions of tweets and comments on this subject,…
Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews
Fatemeh Salmani, Hamed Vahdat-Nejad, Hamideh Hajiabadi
One of the most important incidents in the world in 2020 is the outbreak of the Coronavirus. Users on social networks publish a large number of comments about this event. These com…
Extracting Major Topics of COVID-19 Related Tweets
Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi +1
With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased. Some studies have investigated the hot topics of tweets in this period; howev…
RELF: Robust Regression Extended with Ensemble Loss Function
Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi
Ensemble techniques are powerful approaches that combine several weak learners to build a stronger one. As a meta-learning framework, ensemble techniques can easily be applied to m…