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Redesigning Deep Neural Networks for Resource-Efficient Inference
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Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series
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Automatic Emotion Detection in Text Messages using Supervised Learning
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Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
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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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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
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Detecting Evasive Multiprocess Ransomware
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Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data
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Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning Gain Prediction
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Examining Student Effort on Hint through Response Time Decomposition
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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Protecting Model Confidentiality for Machine Learning as a Service
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Aloja: Breaking IoT Software Homogeneity with Protocol Mutations
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Disrupting Attacker Value Propositions in Residential Networks
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Concurrent Deep Learning Workloads on NVIDIA GPUs
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Learning Deep Social Interactions to Identify Positive Classroom Climate
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Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
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