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1. Integrating human and machine intelligence in galaxy morphology classification tasks. Issue 4 (6th March 2018)

2. Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning. Issue 2 (7th October 2019)

4. Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations. Issue 3 (8th February 2022)

5. Practical galaxy morphology tools from deep supervised representation learning. Issue 2 (28th February 2022)

6. Galaxy Zoo: Clump Scout – Design and first application of a two-dimensional aggregation tool for citizen science. Issue 4 (12th October 2022)

7. Modeling with the crowd: Optimizing the human-machine partnership with Zooniverse. Issue Volume 15:Issue S341(2019) (November 2019)