Tavpritesh Sethi

According to our database, Tavpritesh Sethi authored at least 19 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Benchmarking LLMs for Predictive Applications in the Intensive Care Units.

Chehak Malhotra, Mehak Gopal, Akshaya Devadiga, Pradeep Singh, Ridam Pal, Ritwik Kashyap, Tavpritesh Sethi

CoRR, December, 2025

A Vision Transformer Based Framework for Scalable and Interpretable Glioma Histopathology Classification.

Sagar Kumar Jha, Madhavi Mathur, Afza Akbar, Jyotsna Singh, Abhishek Rana, Vaishali Suri, Tavpritesh Sethi

Proceedings of the 2025 IEEE International Conference on Computer Vision and Machine Intelligence, 2025

2023

Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States.

Ridam Pal, Sanjana S, Deepak Mahto, Kriti Agrawal, Gopal Mengi, Sargun Nagpal, Akshaya Devadiga, Tavpritesh Sethi

CoRR, 2023

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

Variance of Twitter Embeddings and Temporal Trends of COVID-19 cases.

Khushbu Pahwa, Ambika Sadhu, Mayank Sethi, Sargun Nagpal, Tavpritesh Sethi

CoRR, 2021

Statistical Learning to Operationalize a Domain Agnostic Data Quality Scoring.

Sezal Chug, Priya Kaushal, Ponnurangam Kumaraguru, Tavpritesh Sethi

CoRR, 2021

WiseR: An end-to-end structure learning and deployment framework for causal graphical models.

Shubham Maheshwari, Khushbu Pahwa, Tavpritesh Sethi

CoRR, 2021

The State of Infodemic on Twitter.

Drishti Jain, Tavpritesh Sethi

CoRR, 2021

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

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

CoRR, 2021

2AI&7D Model of Resistomics to Counter the Accelerating Antibiotic Resistance and the Medical Climate Crisis.

Asoke K. Talukder, Prantar Chakrabarti, Bhaskar Narayan Chaudhuri, Tavpritesh Sethi, Rakesh Lodha, Roland E. Haas

Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020

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

Raghav Awasthi, Prachi Patel, Vineet Joshi, Shama Karkal, Tavpritesh Sethi

CoRR, 2020

(Un)Masked COVID-19 Trends from Social Media.

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

CoRR, 2020

A Cross-lingual Natural Language Processing Framework for Infodemic Management.

Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi

CoRR, 2020

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

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

CoRR, 2020

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, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi

CoRR, 2020

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

Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi

CoRR, 2020

Acute Hypertensive Episodes Prediction.

Nevo Itzhak, Aditya Nagori, Edo Lior, Maya Schvetz, Rakesh Lodha, Tavpritesh Sethi, Robert Moskovitch

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

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

Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017

Leveraging Thermal Patterns in Children for Telemedicine: Role of Affordable Imagers, Smartphones and Data-analytics.

Ambika Bhatnagar, Aditya Nagori, Richard Fletcher, Rakesh Lodha, Tavpritesh Sethi

Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance, 2017