Doina Caragea Professor

Caragea has expertise in machine learning and data mining, with applications to data intensive problems in recommender systems, text analytics, security informatics, and bioinformatics. In recent years, she has focused on semi-supervised and domain adaptation algorithms, under the assumption that labeled data for a domain of interest is limited, if available at all.

Research Interests:

• Machine Learning, Data Mining, Text Mining, Recommender Systems, Security Informatics, Bioinformatics

Current Projects:

• Domain Adaptation Approaches for Classifying Crisis-related Social Media Data
• Semi-supervised Approaches for Android Malware Detection
• Cross-domain Approaches for Recommender Systems
• Semi-supervised learning and Domain adaptation for Biological Sequence Classifications

Past Projects:

• Machine Learning and Artificial Intelligence
  • Algorithms and Software for Knowledge Acquisition from Heterogeneous, Distributed, Autonomous Information Sources: The Intelligent Data Understanding System (ISU website)
• Machine Learning and Bioinformatics
  • EST Data Analysis and Gene Discovery
  • Gene Regulatory Networks
• Visual Methods for Examining SVM Classifiers, VDM Book Chapter
• Modular Ontologies

Research Specialty:

• Bioinformatics