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Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach

Cracking Android Pattern Lock in Five Attempts

End-to-end Deep Learning of Optimization Heuristics

Synthesizing Benchmarks for Predictive Modeling

Minimizing the cost of iterative compilation with active learning

Real-Time Power Cycling in Video on Demand Data Centres using Online Bayesian Prediction

Optimise Web Browsing on Heterogeneous Mobile Platforms: A Machine Learning Based Approach

Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix

Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems

SEEAD: A Semantic-based Approach for Automatic Binary Code De-obfuscation