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Wray Buntine

Wray Buntine

D-Index & Metrics

Computer Science

D-Index
43
Citations
12447
World Ranking
7789
National Ranking
4

Overview

Wray Buntine is affiliated with VinUniversity in Vietnam and has an extensive publication record in the field of Computer Science, particularly focused on Artificial Intelligence. Their body of work includes 136 publications in Computer Science with a significant concentration of 116 papers related specifically to Artificial Intelligence.

Their research spans various subfields and topics, including:

  • Artificial Intelligence
  • General Social Sciences
  • Molecular Biology
  • Information Systems
  • Statistical and Nonlinear Physics

The main topics explored in their work comprise:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Computational and Text Analysis Methods
  • Advanced Text Analysis Techniques
  • Advanced Graph Neural Networks
  • Machine Learning in Healthcare
  • Machine Learning and Data Classification

Buntine has contributed frequently to venues such as arXiv (Cornell University) with 39 publications, as well as having articles published in the Proceedings of the AAAI Conference on Artificial Intelligence (3 publications), World Wide Web (2 publications), IEEE Computational Intelligence Magazine, and the Journal of Medical Internet Research.

Some of the recent papers authored or coauthored by Wray Buntine include:

  • Hands-On Bayesian Neural Networks-A Tutorial for Deep Learning Users, 2022, IEEE Computational Intelligence Magazine
  • Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data, 2020, Journal of Medical Internet Research
  • A systematic review of the use of topic models for short text social media analysis, 2023, Artificial Intelligence Review
  • Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Bayesian network classifiers using ensembles and smoothing, 2020, Knowledge and Information Systems

Frequent collaborators include:

  • Wei Tan
  • Lan Du
  • Ngoc Dang Nguyen
  • Weiqing Wang

Best Publications

  • Theory refinement on Bayesian networks

    Wray Buntine

  • Operations for learning with graphical models

    Wray L. Buntine

  • Machine invention of first order predicates by inverting resolution

    Stephen Muggleton;Wray L. Buntine

  • A guide to the literature on learning probabilistic networks from data

    W. Buntine

  • Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users

    Laurent Valentin Jospin;Wray L. Buntine;Farid Boussaïd;Hamid Laga

  • Learning classification trees

    Wray Buntine

  • Improving LDA topic models for microblogs via tweet pooling and automatic labeling

    Rishabh Mehrotra;Scott Sanner;Wray Buntine;Lexing Xie

  • Bayesian Back-Propagation.

    Wray L. Buntine;Andreas S. Weigend

  • A Further Comparison of Splitting Rules for Decision-Tree Induction

    Wray Buntine;Tim Niblett

  • Generalized subsumption and its applications to induction and redundancy

    Wray Buntine;Wray Buntine

  • Unsupervised Object Discovery: A Comparison

    Tinne Tuytelaars;Christoph H. Lampert;Matthew B. Blaschko;Wray Buntine

  • Personalized electronic-mail delivery

    Jonathan Oliver;Rohan Baxter;Wray Buntine;Steven Waterhouse

  • Variational Extensions to EM and Multinomial PCA

    Wray L. Buntine

  • Improving Topic Coherence with Regularized Topic Models

    David Newman;Edwin Bonilla;Wray Buntine

  • Message recommendation using word isolation and clustering

    Jonathan James Oliver;Wray Lindsay Buntine;George Roumeliotis

  • Computing second derivatives in feed-forward networks: a review

    W.L. Buntine;A.S. Weigend

  • Applying discrete PCA in data analysis

    Wray Buntine;Aleks Jakulin

  • A further comparison of splitting rules for decision-tree induction

    Unknown

  • Discrete component analysis

    Wray Buntine;Aleks Jakulin

  • Public Perceptions and Attitudes Toward COVID-19 Nonpharmaceutical Interventions Across Six Countries: A Topic Modeling Analysis of Twitter Data.

    Caitlin Doogan;Caitlin Doogan;Wray Buntine;Henry Linger;Samantha Brunt

  • Topic Modelling Meets Deep Neural Networks: A Survey

    He Zhao;Dinh Q. Phung;Viet Huynh;Yuan Jin

  • Generalised subsumption and its applications to induction and redundancy

    Wray L. Buntine

Frequent Co-Authors

Gholamreza Haffari
Gholamreza Haffari Monash University
Mingyuan Zhou
Mingyuan Zhou The University of Texas at Austin
Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute
Dinh Phung
Dinh Phung Monash University
Geoffrey I. Webb
Geoffrey I. Webb Monash University
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
John Shawe-Taylor
John Shawe-Taylor University College London
Andreas Hotho
Andreas Hotho University of Würzburg
Gretchen Benedix
Gretchen Benedix Curtin University

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