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Found 7 papers, 1 papers with code
Investigating the Impact of COVID-19 on Education by Social Network Mining
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.
Extracting Feelings of People Regarding COVID-19 by Social Network Mining
In 2020, COVID-19 became the chief concern of the world and is still reflected widely in all social networks.
Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews
From the analysis of the charts, we learn that the reason for publishing economic tweets is not only the increase in the number of people infected with the Coronavirus but also imposed restrictions and lockdowns in countries.
Extracting Major Topics of COVID-19 Related Tweets
With the outbreak of the Covid-19 virus, the activity of users on Twitter has significantly increased.
Robust Metric Learning based on the Rescaled Hinge Loss
In this paper, we formulate the metric learning problem using the Rescaled Hinge loss function and then develop an efficient algorithm based on HQ (Half-Quadratic) to solve the problem.
RELF: Robust Regression Extended with Ensemble Loss Function
Ensemble techniques are powerful approaches that combine several weak learners to build a stronger one.
On Extending Neural Networks with Loss Ensembles for Text Classification
Ensemble techniques are powerful approaches that combine several weak learners to build a stronger one.
