Sheth, Amit

From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]

Barnaghi, P., Sheth, A., & Henson, C. (2013) · IEEE Intelligent Systems

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 182

Multimodal mental health analysis in social media

Yazdavar, A. H., Mahdavinejad, M. S., Bajaj, G., Romine, W., Sheth, A., Monadjemi, A. H., Thirunarayan, K., Meddar, J. M., Myers, A., Pathak, J., et al. (2020) · PLOS ONE

Mental Health via WritingEmotion and Mood Recognition

Cited by 133

A Survey of Hallucination in Large Foundation Models

Rawte, V., Sheth, A., & Das, A. (2023) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 133

The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations

Rawte, V., Chakraborty, S., Pathak, A., Sarkar, A., Tonmoy, S. M. T. I., Chadha, A., Sheth, A., & Das, A. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 119

kBot: Knowledge-Enabled Personalized Chatbot for Asthma Self-Management

Kadariya, D., Venkataramanan, R., Yip, H. Y., Kalra, M., Thirunarayanan, K., & Sheth, A. (2019) · 2019 IEEE International Conference on Smart Computing (SMARTCOMP)

Mobile Health and mHealth ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 102

Intent classification of short-text on social media,

Purohit, H., Dong, G., Shalin, V., Thirunarayan, K., & Sheth, A. (2015) · 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

Text and Document Classification TechnologiesSentiment Analysis and Opinion Mining

Cited by 66

IoT Quality Control for Data and Application Needs

Banerjee, T., & Sheth, A. (2017) · IEEE Intelligent Systems

Internet of Things and AIIoT and Edge/Fog Computing

Cited by 49

Learning to automate follow-up question generation using process knowledge for depression triage on reddit posts

Gupta, S., Agarwal, A., Gaur, M., Roy, K., Narayanan, V., Kumaraguru, P., & Sheth, A. (2022) · Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 27

A cross attention approach to diagnostic explainability using clinical practice guidelines for depression

Dalal, S., Tilwani, D., Gaur, M., Jain, S., Shalin, V. L., & Sheth, A. P. (2025) · IEEE Journal of Biomedical and Health Informatics

Explainable Artificial Intelligence (XAI)Mental Health via Writing

Cited by 19

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance

Roy, K., Gaur, M., Soltani, M., Rawte, V., Kalyan, A., & Sheth, A. (2023) · Frontiers in Big Data

Artificial Intelligence in Healthcare and EducationSpeech and dialogue systems

Cited by 18

Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness

Rawte, V., Priya, P., Tonmoy, S. M. T. I., Zaman, S. M. M., Sheth, A., & Das, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

Neurosymbolic AI Approach to Attribution in Large Language Models

Tilwani, D., Venkataramanan, R., & Sheth, A. P. (2024) · IEEE Intelligent Systems

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 10