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1. SOCIAL NETWORK MODELING, LINK PREDICTION, AND SENTIMENT IMPACT ANALYSIS

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

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5. TOWARDS INFERRING BIOLOGICALLY INFORMATIVE PROTEIN-PROTEIN INTERACTIONS

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6. Situation Awareness and Adaptive Decision-Making in Autonomous Systems via Symbolic Learning

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7. Novel Task Decomposition And Aggregation methods For Knowledge Discovery In Multi-agent systems

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8. Network Traffic Analysis: Anomaly Detection and Some Implications of Neutrality

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9. Exploiting user-generated data for knowledge discovery and recommendation

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10. Improved generative modeling approaches for semi-supervised and domain adaptive classifier learning from labels and constraints

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