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1. USING DERIVED SOCIAL CLUSTERS IN EMAIL TO SUPPORT HIGH-THROUGHPUT USERS IN MESSAGE MANAGEMENT

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2. SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL AND SPARSE FEATURES

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3. CLUSTERING AND CONNECTIVITY PROBLEMS IN COMPLEX NETWORKS

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

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6. Person Name Disambiguation in the Multicultural and ONline Setting

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7. Mixture Modeling for Complex and Large-scale Data with Applications

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

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9. discrete distribution clustering in big data and a method for storm prediction leveraging large historical archives

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12. PROBABILISTIC REAL-TIME DOMAIN AWARENESS LEVERAGING COMPUTER VISION AND COMPUTATIONAL INTELLIGENCE

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13. A Tale of Two Paradigms: Disambiguating Extracted Entities with Applications to a Digital Library and the Web

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14. THE EFFECT OF SPATIAL SEGMENTATION ON SAFETY PERFORMANCE FUNCTION MODELING

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15. Novel Methods for Exploring the Limits of Tropical Cyclone Forecasting

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16. Probabilistic Techniques for Metagenomic Clustering and Intrusion Detection

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17. APPLICATIONS OF CLUSTERING ALGORITHMS TO ENTITY RESOLUTION AND HUMAN GENOME VARIATION

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18. Sequential Machine Learning for Decision-Making in Mechanical Systems

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19. Analyzing Pennsylvania’s Economic Resilience Considering Interdependent Infrastructures and Economic Sectors

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20. Extrinsic contributions in lead zirconate titanate films: From defects to devices

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21. Expanding the Range of Hydropower Schedules to Maximize Nuclear and Hydro Generation: Machine Learning Techniques for Practical Sensitivity Analysis

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