Shalin, Valerie L.

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

Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning

Pandey, R., Purohit, H., Castillo, C., & Shalin, V. L. (2022) · International Journal of Human-Computer Studies

Mobile Crowdsensing and CrowdsourcingMachine Learning and Algorithms

Cited by 47

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

Choosing Mars time: analysis of the Mars exploration rover experience

Bass, D. S., Wales, R. C., & Shalin, V. L. (2005) · 2005 IEEE Aerospace Conference

Space Exploration and TechnologyPlanetary Science and Exploration

Cited by 17

Long-form analogies generated by chatGPT lack human-like psycholinguistic properties

Seals, S. M., & Shalin, V. L. (2023) · arXiv

Text Readability and SimplificationArtificial Intelligence in Education

Cited by 5