World's Best Scientists 2026 revealed!
Karin Verspoor

Karin Verspoor

D-Index & Metrics

Computer Science

D-Index
47
Citations
9952
World Ranking
6441
National Ranking
201

Overview

Karin Verspoor is affiliated with RMIT University in Australia and is an active researcher in the fields of computer science, biochemistry, genetics, molecular biology, and medicine. Their work spans several hundred publications, with a strong focus on artificial intelligence applications and biomedical informatics.

Their main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Within these areas, they have contributed extensively to key subfields such as:

  • Artificial Intelligence
  • Molecular Biology
  • Radiology, Nuclear Medicine and Imaging
  • Epidemiology
  • Health Informatics

The research topics frequently addressed in their work include:

  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Natural Language Processing Techniques
  • Machine Learning in Healthcare
  • Bioinformatics and Genomic Networks
  • Advanced Text Analysis Techniques
  • Artificial Intelligence in Healthcare and Education

Karin Verspoor has co-authored numerous papers with several recurrent collaborators, including:

  • Timothy Baldwin
  • Trevor Cohn
  • Zenan Zhai
  • Biaoyan Fang
  • Simon Šuster

Their publications frequently appear in venues such as:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Biomedical Informatics
  • Bioinformatics

Some recent papers by Karin Verspoor include:

  • The Secondary Use of Electronic Health Records for Data Mining: Data Characteristics and Challenges, 2022, ACM Computing Surveys
  • Artificial intelligence for clinical decision support in neurology, 2020, Brain Communications
  • Early prediction of incident liver disease using conventional risk factors and gut-microbiome-augmented gradient boosting, 2022, Cell Metabolism
  • Describing the antimicrobial usage patterns of companion animal veterinary practices; free text analysis of more than 4.4 million consultation records, 2020, PLoS ONE
  • Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus, 2020, Translational Vision Science & Technology

Best Publications

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Findings of the 2016 Conference on Machine Translation

    Ondˇrej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • The CHEMDNER corpus of chemicals and drugs and its annotation principles.

    Martin Krallinger;Obdulia Rabal;Florian Leitner;Miguel Vazquez

  • SemEval-2017 Task 3: Community Question Answering

    Preslav Nakov;Doris Hoogeveen;Lluís Màrquez;Alessandro Moschitti

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

  • Concept annotation in the CRAFT corpus

    Michael Bada;Miriam Eckert;Donald Evans;Kristin Garcia

  • Big data in medicine is driving big changes.

    F. Martin-Sanchez;K. Verspoor

  • BioC: a minimalist approach to interoperability for biomedical text processing

    Donald C. Comeau;Rezarta Islamaj Doğan;Paolo Ciccarese;Kevin Bretonnel Cohen

  • Adjusting for chance clustering comparison measures

    Simone Romano;Nguyen Xuan Vinh;James Bailey;Karin Verspoor

  • The structural and content aspects of abstracts versus bodies of full text journal articles are different

    K Bretonnel Cohen;K Bretonnel Cohen;Helen L Johnson;Karin Verspoor;Christophe Roeder

  • The gene normalization task in BioCreative III

    Zhiyong Lu;Hung-Yu Kao;Chih-Hsuan Wei;Minlie Huang

  • BioLemmatizer: a lemmatization tool for morphological processing of biomedical text

    Haibin Liu;Tom Christiansen;William A Baumgartner;Karin Verspoor

  • Automatic English-Chinese name transliteration for development of multilingual resources

    Unknown

  • Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters

    Christopher S. Funk;William A. Baumgartner;Benjamin Garcia;Christophe Roeder

  • A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools

    Karin Verspoor;Kevin Bretonnel Cohen;Arrick Lanfranchi;Colin Warner

  • Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance

    Simone Romano;James Bailey;Vinh Nguyen;Karin Verspoor

  • Biomedical text mining: State-of-the-art, open problems and future challenges

    Andreas Holzinger;Johannes Schantl;Miriam Schroettner;Christin Seifert

  • A categorization approach to automated ontological function annotation.

    Karin Verspoor;Judith Cohn;Susan Mniszewski;Cliff Joslyn

  • High-precision biological event extraction with a concept recognizer

    K. Bretonnel Cohen;Karin Verspoor;Helen Johnson;Chris Roeder

  • Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment

    Julio Cesar Salinas Alvarado;Karin Verspoor;Timothy Baldwin

  • Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

Frequent Co-Authors

Timothy Baldwin
Timothy Baldwin University of Melbourne
Justin Zobel
Justin Zobel University of Melbourne
Lawrence Hunter
Lawrence Hunter University of Colorado Denver
K. Bretonnel Cohen
K. Bretonnel Cohen University of Colorado Denver
Trevor Cohn
Trevor Cohn University of Melbourne
Asa Ben-Hur
Asa Ben-Hur Colorado State University
Barry Haddow
Barry Haddow University of Edinburgh
James Bailey
James Bailey University of Melbourne
Predrag Radivojac
Predrag Radivojac Northeastern University
Tapio Salakoski
Tapio Salakoski University of Turku

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