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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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FACET: Counterfactual Explanation Analytics
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An Empirical Study of Domain Adaptation: Are We Really Learning Transferable Representations?
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A Food Network: A Graphical Exploration of Food Recipes
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A Detailed Accounting of Error in Neural Networks: Applications to Electromagnetics
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Multi-modal Deep Learning
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Utilizing Unimodal and Multimodal Deep Transfer Learning to Classify Mobile Speech Recordings with Mental Health Labels
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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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Synthetic Generation of Data for HCR using Image-to-Image Translation GANs
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