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Micro-Pattern Detection and Analysis in Gaze Data via Mathematical Optimization and Machine Learning
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Robust Methods for Anomaly Detection with Applications to Cyber Data
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Machine learning approaches to manufacturing and materials: Applications to semi-supervised, unbalanced and heterogeneous data problems
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Versatile Anomaly Detection with Outlier Preserving Distribution Mapping Autoencoders
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Similarity Search in Continuous Data with Evolving Distance Metric
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Dimension Reduction and LASSO using Pointwise and Group Norms
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Parameter Continuation with Secant Approximation for Deep Neural Networks
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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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Deployment of Autonomous Electric Taxis with Consideration for Charging Stations
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