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LEVERAGING MULTI-TASK LEARNING GRAPH NEURAL NETWORKS FOR IMPROVING FRAUD DETECTION
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Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sensed Data with Covariate-shifts
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Human Behavior Analysis via Generative Adversarial Imitation Learning
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Data Science for Improving Operations in Organizations that Serve Vulnerable Populations
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Towards an End-to-End Training Data Management System for Machine Learning Models
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Predicting MXene Properties via Machine Learning
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FACET: Counterfactual Explanation Analytics
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Educational Data Mining toward Personalized Tutoring: Exploration of Facial Behaviors, Thermal Comfort, and Relevant Content Search
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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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