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DEEP LEARNING FOR IMAGE PROCESSING WITH APPLICATIONS TO MEDICAL IMAGING
Inefficiencies in resource allocation games
Feasibility and Properness in Linear Interference Alignment: Flow Tests, Sufficient Conditions, and Approximation Algorithms.
PROVENANCE FOR TRANSACTIONAL UPDATES
INFLUENCE OF TIE STRENGTH ON HOSTILITY IN SOCIAL MEDIA
CYBER PHYSICAL SYSTEM WITH COUPLED NETWORKS: SECURITY AND PRIVACY
ACCELERATING I/O USING DATA LABELS: A CONTENTION-AWARE, MULTI-TIERED, SCALABLE, AND DISTRIBUTED I/O PLATFORM
ACTIVE INFERENCE FOR PREDICTIVE MODELS OF SPATIO-TEMPORAL DOMAINS
Concurrency and Locality Aware GPGPU Thread Group Scheduling
MODELING THE INFORMATION CONTENT OF THE LIMIT ORDER BOOK BY BAGGING
Removing Confounds in Text Classification for Computational Social Science
PRIVACY PRESERVING BAG PREPARATION FOR LEARNING FROM LABEL PROPORTION
Unsupervised Learning of Visual Odometry Using Direct Motion Modeling
Combining Simulation and Emulation for Planning and Evaluation of Smart Grid Security, Resilience, and Operations
DATA PRIVACY AND DEEP LEARNING IN THE MOBILE ERA: TRACEABILITY AND PROTECTION
A FRAMEWORK FOR MANAGING UNSPECIFIED ASSUMPTIONS IN SAFETY-CRITICAL CYBER-PHYSICAL SYSTEMS
Integrity based landmark generation: A method to generate landmark configurations that guarantee mobile robot localization safety
WHY AND WHY-NOT PROVENANCE FOR QUERIES WITH NEGATION
DATA SHARING WITH PRIVACY AND SECURITY
Fast Automatic Bayesian Cubature Using Matching Kernels and Designs

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