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05/02/2023
Outlier galaxy images in the Dark Energy Survey and their identification with unsupervised machine learning
The Dark Energy Survey is able to collect image data of an extremely lar...
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01/15/2023
A data science and machine learning approach to continuous analysis of Shakespeare's plays
The availability of quantitative methods that can analyze text has provi...
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01/10/2022
Systematic biases when using deep neural networks for annotating large catalogs of astronomical images
Deep convolutional neural networks (DCNNs) have become the most common s...
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01/07/2021
Automatic identification of outliers in Hubble Space Telescope galaxy images
Rare extragalactic objects can carry substantial information about the p...
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10/12/2020
A catalog of broad morphology of Pan-STARRS galaxies based on deep learning
Autonomous digital sky surveys such as Pan-STARRS have the ability to im...
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11/05/2019
Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era
The field of astronomy has arrived at a turning point in terms of size a...
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07/13/2018
Computer Analysis of Architecture Using Automatic Image Understanding
In the past few years, computer vision and pattern recognition systems h...
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02/02/2018
Best Practices for a Future Open Code Policy: Experiences and Vision of the Astrophysics Source Code Library
We are members of the Astrophysics Source Code Library's Advisory Commit...
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09/28/2014
