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Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio
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Automated Fact Extraction and Verification for Detecting False Information
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Shared Complex Event Trend Aggregation
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Anomaly Detection with Advanced Nonlinear Dimensionality Reduction
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Variational Open Set Recognition
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Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation
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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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