We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...
Functional near-infrared spectroscopy (fNIRS) is a brain imaging technique used to estimate neuronal activity by measuring blood oxygenation. In this paper, we develop and evaluate an extensive set of ...
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The Digital Technologies and Emerging Media major is designed to encourage critical thinking and analysis of emerging technologies such as artificial intelligence. The Computer Science major covers AI ...
Abstract: Deep Multi-View Clustering (MVC) methods partition multi-view data into disjoint clusters in an unsupervised manner, showing significant promise across various domains. However, current MVC ...
Abstract: Navigational warnings provide key information such as the type of danger, impact range, and effective time in the area where the ship is located, which is key information that needs to be ...
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This project builds a full end-to-end ETL + analytics system that collects real job postings from a live API, extracts skills, stores structured results in a database, and visualizes insights through ...
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