Ross Briden Source Confirmed

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

Researcher

John Brown University

grad_student

2 pubs

Research Areas

Domain Adaptation and Few-Shot Learning Machine Learning and Data Classification Multimodal Machine Learning Applications COVID-19 diagnosis using AI

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OverviewAI-generated summary

Ross Briden's research encompasses machine learning methodologies, with a particular emphasis on domain adaptation and few-shot learning techniques. He explores multimodal machine learning applications, including the application of AI to COVID-19 diagnosis. Briden's work also includes the development of automated semi-supervised learning systems leveraging auxiliary data. His recent research resulted in the development of the TAGLETS system.

Briden is a graduate student at John Brown University. His scholarly interests center on machine learning and data classification.

Metrics

  • Publications: 2

Selected Publications

  • TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary\n Data (2021) DOI
  • TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data (2021) DOI

Collaborators

Researchers in the database who share publications

Jeffrey Zhu John Brown University 1 shared publication

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