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Brian D. Davison

Brian D. Davison

D-Index & Metrics

Computer Science

D-Index
45
Citations
10614
World Ranking
7096
National Ranking
3114

Overview

Brian D. Davison is a researcher affiliated with Lehigh University in the United States. Their primary field of study is Computer Science, with a focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Radiology, Nuclear Medicine and Imaging, and Information Systems.

The main topics covered in Brian D. Davison's research include:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Infrastructure Resilience and Vulnerability Analysis
  • Text and Document Classification Technologies
  • Disaster Management and Resilience
  • COVID-19 diagnosis using AI

Brian D. Davison has published extensively in several venues, with a considerable number of publications in:

  • arXiv (Cornell University)
  • Harvard Data Science Review
  • Natural Hazards
  • Nature Medicine
  • Natural Hazards Review

Notable recent publications include:

  • "Applications of artificial intelligence for disaster management," 2020, Natural Hazards
  • "A generalist vision-language foundation model for diverse biomedical tasks," 2024, Nature Medicine
  • "BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks," 2023, arXiv (Cornell University)
  • "Overview of Interdependency Models of Critical Infrastructure for Resilience Assessment," 2021, Natural Hazards Review
  • "StruBERT: Structure-aware BERT for Table Search and Matching," 2022, Proceedings of the ACM Web Conference 2022

Frequent co-authors collaborating with Brian D. Davison are:

  • Youshan Zhang
  • Eashan Adhikarla
  • Kai Zhang
  • Wenjuan Sun
  • Paolo Bocchini

Best Publications

  • Empirical study of topic modeling in Twitter

    Liangjie Hong;Brian D. Davison

  • Predicting popular messages in Twitter

    Liangjie Hong;Ovidiu Dan;Brian D. Davison

  • Web page classification: Features and algorithms

    Xiaoguang Qi;Brian D. Davison

  • Topical locality in the Web

    Brian D. Davison

  • Detection of Harassment on Web 2.0

    Dawei Yin;Zhenzhen Xue;Liangjie Hong;Brian D. Davison

  • Identifying link farm spam pages

    Baoning Wu;Brian D. Davison

  • Applications of artificial intelligence for disaster management

    Wenjuan Sun;Paolo Bocchini;Brian D. Davison

  • Predicting Sequences of User Actions

    Brian D. Davison;Haym Hirsh

  • A Web caching primer

    B.D. Davison

  • Recognizing Nepotistic Links on the Web

    Brian D. Davison

  • Co-factorization machines: modeling user interests and predicting individual decisions in Twitter

    Liangjie Hong;Aziz S. Doumith;Brian D. Davison

  • Topical TrustRank: using topicality to combat web spam

    Baoning Wu;Vinay Goel;Brian D. Davison

  • Propagating Trust and Distrust to Demote Web Spam.

    Baoning Wu;Vinay Goel;Brian D. Davison

  • Predicting web actions from HTML content

    Brian D. Davison

  • Topical link analysis for web search

    Lan Nie;Brian D. Davison;Xiaoguang Qi

  • Learning to personalize

    Haym Hirsh;Chumki Basu;Brian D. Davison

  • Cloaking and Redirection: A Preliminary Study.

    Baoning Wu;Brian D. Davison

  • A classification-based approach to question answering in discussion boards

    Liangjie Hong;Brian D. Davison

  • Adversarial Web Search

    Carlos Castillo;Brian D. Davison

  • Normalizing microtext

    Zhenzhen Xue;Dawei Yin;Brian D. Davison

  • Enabling technologies: learning to personalize.

    Haym Hirsh;Chumki Basu;Brian D. Davison

Frequent Co-Authors

Dawei Yin
Dawei Yin Baidu (China)
Haym Hirsh
Haym Hirsh Cornell University
Mooi Choo Chuah
Mooi Choo Chuah Lehigh University
Carlos Castillo
Carlos Castillo Pompeu Fabra University
Torsten Suel
Torsten Suel New York University
Patrick Gallinari
Patrick Gallinari Sorbonne University
Ludovic Denoyer
Ludovic Denoyer Sorbonne University
Fred Douglis
Fred Douglis Peraton Labs
Marc Najork
Marc Najork Google (United States)
Nick Craswell
Nick Craswell Microsoft (United States)

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