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 ...
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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 ...
Abstract: Currently, satellite remote-sensing image acquisition systems typically include two forms of panchromatic and multispectral images, both of which have complementary advantages in spatial and ...
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