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Development and Application of Semi-automated ITK Tools Development and Application of Semi-automated ITK Tools for the Segmentation of Brain MR Images
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Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
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MIC-TOK: A Musical Live Coding Environment for Constrained Input
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Effects of Digital Jury Moderation on the Polarization of Social Media Users
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Training Noise-Robust Spoken Phrase Detectors with Scarce and Private Data: An Application to Classroom Observation Videos
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Reusable Annotations for Matching of Event Sequences to Construct Firewall Policies
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Augmenting Network Flows with User Interface Context to Inform Access Control Decisions
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Using Smart Scheduling to Reduce the Negative Impacts of Instrumentation-based Defenses on Embedded Systems
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MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference
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Memory Efficient Shadow Stacks for Real-Time Embedded Systems
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Mitigating Temporal Memory Safety Errors in the Linux Kernel
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Epsilon Optimal Path Planning for Active Vision for Grasping
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The Learning and Communication Complexity of Subsequence Containment
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A Graph Theoretic Clustering Algorithm based on the Regularity Lemma and Strategies to Exploit Clustering for Prediction
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Predictive Models of Student Learning
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Practical and Theoretical Applications of the Regularity Lemma
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The Effects of Latency and Game Device on Moving Target Selection
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Concurrent Deep Learning Workloads on NVIDIA GPUs
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Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
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