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Utilizing Unimodal and Multimodal Deep Transfer Learning to Classify Mobile Speech Recordings with Mental Health Labels
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Exploring Neural Network Structure through Iterative Neural Networks: Connections to Dynamical Systems
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LEVERAGING MULTI-TASK LEARNING GRAPH NEURAL NETWORKS FOR IMPROVING FRAUD DETECTION
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Predicting MXene Properties via Machine Learning
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A Level-Set Approach for Solving Nonlinear Integer Optimization Problems
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Assessing Individual Differences In Graphical Perception
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A Food Network: A Graphical Exploration of Food Recipes
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Kernel Methods for Collaborative Filtering
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Robust Auto-encoders
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Machine learning approaches to manufacturing and materials: Applications to semi-supervised, unbalanced and heterogeneous data problems
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Automated Fact Extraction and Verification for Detecting False Information
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Incorporating Rich Features into Deep Knowledge Tracing
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Multi-modal Deep Learning
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A Look Into Human Brain Activity with EEG DataSurface Reconstruction
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A Comparative Study of Multiple-Instance Regression Techniques With Data Augmentation for Cold Spray Powder Hall Flow Rate Prediction
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Similarity Search in Continuous Data with Evolving Distance Metric
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Adaptively-Halting RNN for Tunable Early Classification of Time Series
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An Approach for Deliberate Non-Compliance Detection during Opioid Abuse Surveillance by a Wearable Biosensor
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Shared Complex Event Trend Aggregation
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Analytics projects for key stakeholders in large scale online learning systems
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