3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
Omkar Kulkarni, Rohitash Chandra
Medical time series datasets feature missing values that need data imputation methods, however, conventional machine learning models fall short due to a lack of uncertainty quantif…
cs.CL2024★ 3 cited
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
Xuechun Wang, Rodney Beard, Rohitash Chandra
Machine translation using large language models (LLMs) is having a significant global impact, making communication easier. Mandarin Chinese is the official language used for commun…
cs.CL2024
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
Chen Wang, Rohitash Chandra
The COVID-19 pandemic has exacerbated xenophobia, particularly Sinophobia, leading to widespread discrimination against individuals of Chinese descent. Large language models (LLMs)…