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1. Robust, Adaptable Many-Objective Optimization: The Foundations, Parallelization and Application of the Borg MOEA

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2. Computational Approaches for Integrative Detection of Protein-DNA Interactions

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3. Quadratic Binary Optimization for Pedestrian Detection in Crowded Scenes

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5. Improving Performance and Energy of Parallel Sparse Computations through Hybrid Linear Solvers and Model-driven Optimization

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6. EXPLOITING GRAPH EMBEDDING FOR PARALLELISM AND PERFORMANCE

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7. Improving Prediction, Recommendation, and Classification using User-generated Content and Relationships

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9. Reuse distance models for accelerating scientific computing workloads on multicore processors

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11. Irregular Graph Algorithms on Modern Multicore, Manycore, and Distributed Processing Systems

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13. Scalable graph and mesh algorithms on distributed-memory systems

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15. HARDWARE SOFTWARE CO-DESIGN FOR OPTIMIZING MEMORY HIERARCHY IN MANY-CORE AND MULTI-SOCKET SYSTEMS

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16. Hardware-Aware Computation Reorganization for Memory Intensive Applications

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17. HIERARCHICAL SPARSE GRAPH COMPUTATIONS ON MULTICORE PLATFORMS

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18. Scalable and Accurate Algorithms for Search in Genomic Big Data and Analysis of Genetic Variants

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19. Engineering high performance workflows for end-to-end acceleration of genomic applications

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20. Machine-Learning-Based Approaches for Learning Marketing Strategies

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21. Temporal and Structural Machine Learning from Transportation Data

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23. Enhancing Ad-blocking Systems for Better Web Browsing Security and Privacy

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24. Applications of the compacted de bruijn graph in Comparative genomics

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26. GRAPH AND TRAJECTORY MINING: FRAMEWORKS,ALGORITHMS AND APPLICATIONS

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27. Adversarial Attacks and Representation Learning for Graph-structured Data

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