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Using Autoencoder Feature Residuals to Improve Network Intrusion Detection
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Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images
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Frequent Pattern Mining Analytics
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The Impact of Latency on Players in First-person Shooter Games
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MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference
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Big Time Series Analytics Using a Distributed Infrastructure
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Compositional Embeddings and Their Applications in Speaker Diarization
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Visual Analytics for Smartphone Health Phenotyping
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
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Residential Network Security: Using Software-defined Networking to Inspect and Label Traffic
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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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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
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Attention-based Deep Learning Models for Text Classification and their Interpretability
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Ranking for Decision Making: Fairness and Usability
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Contextual Outlier Detection from Heterogeneous Data Sources
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