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1. CATEGORICAL VERSUS DIMENSIONAL DIAGNOSIS OF GENERALIZED ANXIETY DISORDER: HOW WELL DO THEY PREDICT RESPONSE TO TREATMENT?

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2. FEATURE SELECTION METHODS FOR SUPPORT VECTOR MACHINES FOR TWO OR MORE CLASSES, WITH APPLICATIONS TO THE ANALYSIS OF ALZHEIMER'S DISEASE AND ITS ONSET WITH MRI BRAIN IMAGE PROCESSING

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3. Machine Learning for Text Mining: Classification, Retrieval and Recommendation

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4. Analyzing Subjectivity and Sentiment of Online Forums

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5. UNDERSTANDING USER INTERACTIONS THROUGH LINK ANALYSIS IN SOCIAL NETWORKS

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6. NETWORK ANALYTICS AND MACHINE LEARNING: APPLICATIONS TO ONLINE SOCIAL NETWORKS AND HEALTHCARE SYSTEMS

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7. Advanced algorithms for the design and analysis of synthetic genetic parts

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8. Resolving the Latent Structure of Borderline Personality Disorder: Predicting Symptoms in Daily Life

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9. Advances in Forward Sufficient Dimension Reduction Methods for Statistical Learning

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10. Domain Enriched Machine Learning for Synthetic Aperture Sonar

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11. Discriminative brain image analysis via geometrically inspired deep networks

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