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Four Novel Ways Toward Better Factuality of Abstractive Text Summarization

By Mona Pandey

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Fraud Detection in Highly Imbalanced Big Data With Novel and Efficient Data Reduction Techniques

By Ira Tiwari

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From Ambiguity and Sensitivity to Transparency and Contextuality: A Research Journey to Explore Error-Sensitive Value Patterns in Data Classification

By Yajna Saha

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From Low-level to High-level Video Technologies in Computer Vision

By Jasdeep Mittal

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From Sim-to-Real: Learning and Deploying Autonomous Vehicle Controllers That Improve Transportation Metrics

By Dev Bhatt

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Gender Glitch Matrix: Queer Aesthetics and the Politics of Error in Digital Media

By Trisha Das

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Generative DDoS Adversarial Learning Attacks

By Madhav Murmu

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Genome-Driven Personalized Medicine of Cancer via Machine Learning and Phylogenetic Models

By Kalu Bansal

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Geometry-Driven Model Reduction

By Jaspreet Oraon

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Going Large: When Graph Neural Networks Meets Federated Learning

By Jaya Narayan

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