Ravi Teja Nvs Chappa
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Ravi Teja Nvs Chappa's research focuses on unsupervised domain adaptation, particularly through optimal transport-based approaches. His work contributes to the field of machine learning, aiming to improve model performance when data distributions differ between training and testing environments. Chappa has one publication, "OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation," published in 2022. His academic work includes collaborations with researchers from the University of Arkansas at Fayetteville, including Ashley P. G. Dowling, Xuan-Bac Nguyen, Ky Luu, and Thanh-Dat Truong, with whom he shares one publication. Chappa's scholarship metrics indicate an h-index of 1 and a total of 9 citations across his publications.
Metrics
- h-index: 1
- Publications: 1
- Citations: 9
Selected Publications
-
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation (2022)
Collaboration Network
Top Collaborators
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
- OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Similar Researchers
Based on overlapping research topics