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Using Autoencoder Feature Residuals to Improve Network Intrusion Detection
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Bespoke Neural Network Architectures for Rapid Multivariate Time Series Classification and Representation
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Mathematical Principles for Deconstructing Deep Learning: Theory and Application to Electromagnetic Signals
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Ensemble CNNs in Transform Domains for Small Data Image Super-resolution
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Robust Generative Models for Deep Learning and Applications
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Dimension Estimation and Application in Finance
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Optimal Ensembles for Deep Learning: Theory and Practice
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Patterns Detection on Multivariate High-Frequency Time Series
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Robust State Estimation and Deep Learning for Time Series Analysis
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Robust Methods for Anomaly Detection with Applications to Cyber Data
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