Machine Learning, Pattern Recognition, Data Mining

Machine learning, pattern recognition, and data mining studies at our center focus on developing new applications of these computational processes to medical diagnostic tools and improving the underlying systems that support them.

Dr. Razvan Bunescu’s work in machine learning, pattern recognition, and data mining includes:

• Machine learning models
  • Blood glucose level prediction & detection of glycemic variability
  • Has the potential to improve quality of life for diabetic patients
  • Published in AI Magazine
  • Collaboration with Ohio University physicians
  • Funded by the National Science Foundation
• Large scale multilingual ontology from weakly structured online corpora
  • Built systems for coreference resolution, identification of interlingua links, and coarse- to fine-grained word sense disambiguation in Wikipedia
  • Published in top NLP conferences and in a book chapter
  • A collaborative project with the University of North Texas
  • Funded by the National Science Foundation