Vinay M.S.
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Also affiliated: Indian Institute of Science Bangalore (2019)
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Vinay M.S. conducts research focused on machine learning applications, particularly in areas related to fraud detection and natural language processing. His work includes developing and implementing algorithms for scoring functions and exploring methods for selecting demonstrations in in-context learning scenarios. He has published research on fraud detection using contrastive positive unlabeled learning and operator implementation of result set dependent KWS scoring functions. His scholarly output includes 2 publications with a total of 9 citations and an h-index of 2. He has collaborated with Xintao Wu and Minh-Hao Van at the University of Arkansas at Fayetteville on shared publications.
Metrics
- h-index: 2
- Publications: 4
- Citations: 9
Selected Publications
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Selecting In-Context Learning Demonstrations Via Influence Analysis (2025)
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Fraud Detection via Contrastive Positive Unlabeled Learning (2022)
Collaboration Network
Top Collaborators
- Fraud Detection via Contrastive Positive Unlabeled Learning
- Selecting In-Context Learning Demonstrations Via Influence Analysis
- Fraud Detection via Contrastive Positive Unlabeled Learning
- Selecting In-Context Learning Demonstrations Via Influence Analysis
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