M. S. Vinay Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

unknown

3 h-index 5 pubs 15 cited

Research Areas

Advanced Neural Network Applications Network Security and Intrusion Detection Decision-Making and Behavioral Economics Topic Modeling

Links

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OverviewAI-generated summary

M. S. Vinay's research focuses on the application of machine learning techniques, particularly contrastive learning, for detection and classification tasks. Recent publications investigate contrastive learning for insider threat detection and robust fraud detection, including work on noisy labels. Additional work explores in-context learning demonstration selection using influence analysis. Vinay has published five papers, achieving an h-index of 3 and accumulating 15 citations. Key collaborators include Xintao Wu and Minh-Hao Van from the University of Arkansas at Fayetteville, with whom Vinay has co-authored multiple publications.

Metrics

  • h-index: 3
  • Publications: 5
  • Citations: 15

Selected Publications

  • Contrastive Learning for Fraud Detection from Noisy Labels (2024) DOI
  • Robust Fraud Detection via Supervised Contrastive Learning (2023) DOI
  • Contrastive Learning for Insider Threat Detection (2022) DOI

Collaborators

Researchers in the database who share publications

Xintao Wu University of Arkansas at Fayetteville 3 shared publications Minh-Hao Van University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

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