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1. A Representation-based Approach to Connect Regular Grammar and Deep Learning

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2. The Good, the Bad and the Ugly: Exploring the Robustness and Applicability of Adversarial Machine Learning

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3. Geometry Inspired Deep Neural Networks for 3D reconstruction

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4. AI in Education: Effective Machine Learning Methods To Improve Data Scarcity and Knowledge Generalization

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5. Understanding the dynamical patterns and hot streaks for creative careers

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6. Explainable AI Techniques for Security

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7. Theoretically deriving computational limits of Artificial Neural Networks with bounded precision and time

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8. Spatial, Temporal, and Morphological Perspectives: Advancing Understanding of Visual Data Depicting Humans

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