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Multi-task Multi-sensor Framework for Assessing Health Effects of Heat Exposure with Medical Sensors
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Data-Driven Fine-Grained Epidemic Modeling via Graph Neural Networks
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Exploring Invariance in Single and Multi-modal Deep Representation Learning
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Communication Efficient Distributed Tensor Factorization based on Local SGD for Collaborative Health Data Analysis
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Privacy Preserving Medical Data Publishing
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Privacy-aware Task Management for Mobile Crowd Sensing
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Big Data goes Personal: Privacy and Social Challenges
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Efficient and Adaptive Skyline Computation
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Incorporating Social Relationships from Call Detail Records into Infectious Disease Spread Simulators
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Secure and Privacy-Preserving Distributed Data Release
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Protecting Locations of Individual Movement under Temporal
Correlations
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Efficient Search and Computation on Encrypted Data with Access Control
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Indexing Moving Objects for Predictive Spatio-Temporal Queries
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Self-Organizing Maps and Wind-Rose Charts in the Visualization and
Analysis of Flow Cytometry Data
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Preserving Individual Privacy in Spatio-Temporal Data Analytics
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Automatic Transcription of Polyphonic Musical Signals with Linear
Matching Pursuit
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Recommender Systems and Information Fusion in Spatial Crowdsourcing
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Differentially private data release and analytics
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