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Welcome to the Applied Machine Learning Group at Northeastern

Professor Brodley’s research group, Applied Machine Learning at CCIS focuses on core issues of machine learning, as well as real-world applications of machine learning.

Recent core issues investigated include:

  • Active learning
  • Conditional random fields
  • Constraint-based clustering
  • Crowd sourcing in clustering

Recent applications (and collaborators) include:

  • Predicting disease course for Multiple Sclerosis patients (Neurology, Harvard Medical School)
  • Detecting Focal Cortical Dysplasia in the MRI’s of Epilepsy Patients (Neuroscience and Radiology, NYU Medical School)
  • Understanding the predictors of unilaterial vestibular disorders (Mass Eye and Ear)

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