2 citations · 4 across the 5 of their papers we have counts for
7 papers
WiseR: An end-to-end structure learning and deployment framework for causal graphical models
Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi
Structure learning offers an expressive, versatile and explainable approach to causal and mechanistic modeling of complex biological data. We present wiseR, an open source applicat…
The State of Infodemic on Twitter
Drishti Jain, Tavpritesh Sethi
Following the wave of misinterpreted, manipulated and malicious information growing on the Internet, the misinformation surrounding COVID-19 has become a paramount issue. In the co…
Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India
Raghav Awasthi, Prachi Patel, Vineet Joshi +2
Female sex workers(FSWs) are one of the most vulnerable and stigmatized groups in society. As a result, they often suffer from a lack of quality access to care. Grassroot organizat…
(Un)Masked COVID-19 Trends from Social Media
Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma +3
Wearing masks is a useful protection method against COVID-19, which has caused widespread economic and social impact worldwide. Across the globe, governments have put mandates for…
A Cross-lingual Natural Language Processing Framework for Infodemic Management
Ridam Pal, Rohan Pandey, Vaibhav Gautam +2
The COVID-19 pandemic has put immense pressure on health systems which are further strained due to the misinformation surrounding it. Under such a situation, providing the right in…
Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic
Baani Leen Kaur Jolly, Palash Aggrawal, Amogh Gulati +3
COVID-19 infodemic has been spreading faster than the pandemic itself. The misinformation riding upon the infodemic wave poses a major threat to people's health and governance syst…