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A Comparison of Multi-View Learning Strategies for Satellite Image-Based Real Estate Appraisal
In the house credit process, banks and lenders rely on a fast and accurate estimation of a real estate price to determine the maximum loan value.
Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band images
Employing a hyperparameter search, we find a family of convolutional neural networks achieving similar results as with the manual classification, with an accuracy of 85% for spiral galaxies, 94% for dwarf ellipticals, and 52% for dwarf irregulars.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
Brain Responses During Robot-Error Observation
Our findings suggest that non-invasive recordings of brain responses elicited when observing robots indeed contain decodable information about the correctness of the robot's action and the type of observed robot.
