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Tavpritesh Sethi
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2020 – today
- 2023
- [i13]Ridam Pal, Sanjana S, Deepak Mahto, Kriti Agrawal, Gopal Mengi, Sargun Nagpal
, Akshaya Devadiga, Tavpritesh Sethi:
Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States. CoRR abs/2306.13954 (2023) - 2021
- [j1]Solveig K. Sieberts
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - [c4]Asoke K. Talukder, Prantar Chakrabarti, Bhaskar Narayan Chaudhuri, Tavpritesh Sethi, Rakesh Lodha, Roland E. Haas:
2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis. BDA 2021: 44-53 - [i12]Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima, Ananya Tyagi, Tavpritesh Sethi:
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings. CoRR abs/2104.01131 (2021) - [i11]Drishti Jain, Tavpritesh Sethi:
The State of Infodemic on Twitter. CoRR abs/2105.07730 (2021) - [i10]Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi:
WiseR: An end-to-end structure learning and deployment framework for causal graphical models. CoRR abs/2108.07046 (2021) - [i9]Sezal Chug, Priya Kaushal, Ponnurangam Kumaraguru, Tavpritesh Sethi:
Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring. CoRR abs/2108.08905 (2021) - [i8]Khushbu Pahwa, Ambika Sadhu, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi:
Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases. CoRR abs/2110.00031 (2021) - 2020
- [c3]Nevo Itzhak
Acute Hypertensive Episodes Prediction. AIME 2020: 392-402 - [i7]Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi:
A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic. CoRR abs/2003.07074 (2020) - [i6]Baani Leen Kaur Jolly, Palash Aggrawal, Amogh Gulati, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi:
Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic. CoRR abs/2005.05513 (2020) - [i5]Raghav Awasthi, Keerat Kaur Guliani, Arshita Bhatt, Mehrab Singh Gill, Aditya Nagori, Ponnurangam Kumaraguru, Tavpritesh Sethi:
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning. CoRR abs/2009.06602 (2020) - [i4]Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi:
A Cross-lingual Natural Language Processing Framework for Infodemic Management. CoRR abs/2010.16357 (2020) - [i3]Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru:
(Un)Masked COVID-19 Trends from Social Media. CoRR abs/2011.00052 (2020) - [i2]Raghav Awasthi, Prachi Patel, Vineet Joshi, Shama Karkal, Tavpritesh Sethi:
Learning Explainable Interventions to Mitigate HIV Transmission in Sex Workers Across Five States in India. CoRR abs/2012.01930 (2020)
2010 – 2019
- 2019
- [c2]Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. AAAI 2019: 710-717 - 2018
- [i1]Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh:
Learning to Address Health Inequality in the United States with a Bayesian Decision Network. CoRR abs/1809.09215 (2018) - 2017
- [c1]Ambika Bhatnagar, Aditya Nagori, Richard Fletcher, Rakesh Lodha, Tavpritesh Sethi
Leveraging Thermal Patterns in Children for Telemedicine: Role of Affordable Imagers, Smartphones and Data-analytics. ICEGOV 2017: 588-589
Coauthor Index
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