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Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings


Apr 02, 2021
Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi


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Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India


Nov 30, 2020
Raghav Awasthi, Prachi Patel, Vineet Joshi, Shama Karkal, Tavpritesh Sethi

* Presented at NeurIPS 2020 Workshop on Machine Learning for the Developing World 

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(Un)Masked COVID-19 Trends from Social Media


Oct 30, 2020
Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru


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A Cross-lingual Natural Language Processing Framework for Infodemic Management


Oct 30, 2020
Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi

* 8 Pages, 2 Figures, 3 Tables 

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VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning


Sep 14, 2020
Raghav Awasthi, Keerat Kaur Guliani, Arshita Bhatt, Mehrab Singh Gill, Aditya Nagori, Ponnurangam Kumaraguru, Tavpritesh Sethi

* 10 pages, 5 figures 

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Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic


May 13, 2020
Baani Leen Kaur Jolly, Palash Aggrawal, Amogh Gulati, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi


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A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic


Apr 18, 2020
Rohan Pandey, Vaibhav Gautam, Chirag Jain, Priyanka Syal, Himanshu Sharma, Kanav Bhagat, Ridam Pal, Lovedeep Singh Dhingra, Arushi, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Manan Arora, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi

* 7 pages, 5 figures, 3 tables 

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A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic


Mar 16, 2020
Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi

* 7 pages, 5 figures, 3 tables 

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Learning to Address Health Inequality in the United States with a Bayesian Decision Network


Sep 18, 2018
Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh

* 8 pages, 4 figures, 1 table (excluding the supplementary material), submitted to AAAI 2019 

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