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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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