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Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring using smartphone sensor data
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MIC-TOK: A Musical Live Coding Environment for Constrained Input
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Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
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Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection
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Appjudicator: Enhancing Android Network Analysis through UI Monitoring
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PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server
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Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
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Learning Deep Social Interactions to Identify Positive Classroom Climate
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Concurrent Deep Learning Workloads on NVIDIA GPUs
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Disrupting Attacker Value Propositions in Residential Networks
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Aloja: Breaking IoT Software Homogeneity with Protocol Mutations
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Protecting Model Confidentiality for Machine Learning as a Service
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Examining Student Effort on Hint through Response Time Decomposition
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Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning Gain Prediction
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Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data
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Detecting Evasive Multiprocess Ransomware
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Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
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HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion
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