8 citations · 19 across the 7 of their papers we have counts for
8 papers
memeBot: Towards Automatic Image Meme Generation
Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu +1
Image memes have become a widespread tool used by people for interacting and exchanging ideas over social media, blogs, and open messengers. This work proposes to treat automatic i…
A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts
Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar +4
Over the past few years, we have observed different media outlets' attempts to shift public opinion by framing information to support a narrative that facilitate their goals. Malic…
Graph Attention Auto-Encoders
Amin Salehi, Hasan Davulcu
Auto-encoders have emerged as a successful framework for unsupervised learning. However, conventional auto-encoders are incapable of utilizing explicit relations in structured data…
Leveraging Uncertainty in Deep Learning for Selective Classification
Mehmet Yigit Yildirim, Mert Ozer, Hasan Davulcu
The wide and rapid adoption of deep learning by practitioners brought unintended consequences in many situations such as in the infamous case of Google Photos' racist image recogni…
Detecting Antagonistic and Allied Communities on Social Media
Amin Salehi, Hasan Davulcu
Community detection on social media has attracted considerable attention for many years. However, existing methods do not reveal the relations between communities. Communities can…
Sentiment-driven Community Profiling and Detection on Social Media
Amin Salehi, Mert Ozer, Hasan Davulcu
Web 2.0 helps to expand the range and depth of conversation on many issues and facilitates the formation of online communities. Online communities draw various individuals together…
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods
Mert Ozer, Nyunsu Kim, Hasan Davulcu
Community detection is a fundamental task in social network analysis. In this paper, first we develop an endorsement filtered user connectivity network by utilizing Heider's struct…
Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion
Zheng Wang, Ming-Jun Lai, Zhaosong Lu +3
In this paper, we propose an efficient and scalable low rank matrix completion algorithm. The key idea is to extend orthogonal matching pursuit method from the vector case to the m…