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Memory Efficient Shadow Stacks for Real-Time Embedded Systems
Programming Abstractions for GPU-Accelerated Agent-Based Simulations
Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
Towards Mental Workload Time Series Classification and Interpretation for Real-Time Fe...
Frequent Pattern Mining Analytics
Learning From Small Samples: A Machine Learning Model of Belief Polarization
The Impact of Latency on Players in First-person Shooter Games
MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning In...
Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in O...
Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of P...
Big Time Series Analytics Using a Distributed Infrastructure
Compositional Embeddings and Their Applications in Speaker Diarization
Effects of Digital Jury Moderation on the Polarization of Social Media Users
Defect Characterization and Classification for Metal Additive Manufacturing Process Op...
Visual Analytics for Smartphone Health Phenotyping
The Learning and Communication Complexity of Subsequence Containment
Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Sco...
Improving Automated Assessment for Student Open-responses in Mathematics
Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to ...
Evaluating SGX’s Remote Attestation Security Through the Analysis of Copland Phrases