3 citations · 8 across the 5 of their papers we have counts for
5 papers
Behavioral Forensics in Social Networks: Identifying Misinformation, Disinformation and Refutation Spreaders Using Machine Learning
Euna Mehnaz Khan, Ayush Ram, Bhavtosh Rath +2
With the ever-increasing spread of misinformation on online social networks, it has become very important to identify the spreaders of misinformation (unintentional), disinformatio…
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning
Karan Aggarwal, Jaideep Srivastava
Missing data in time series is a challenging issue affecting time series analysis. Missing data occurs due to problems like data drops or sensor malfunctioning. Imputation methods…
Embarrassingly Simple MixUp for Time-series
Karan Aggarwal, Jaideep Srivastava
Labeling time series data is an expensive task because of domain expertise and dynamic nature of the data. Hence, we often have to deal with limited labeled data settings. Data aug…
The Quantified City: Sensing Dynamics in Urban Setting
Tahar Zanouda, Noora AL Emadi, Sofiane Abbar +1
The world is witnessing a period of extreme growth and urbanization; cities in the 21st century became nerve centers creating economic opportunities and cultural values which make…
Understanding Co-evolution in Large Multi-relational Social Networks
Ayush Singhal, Atanu Roy, Jaideep Srivastava
Understanding dynamics of evolution in large social networks is an important problem. In this paper, we characterize evolution in large multi-relational social networks. The prolif…