DeepMerge: Classifying high-redshift merging galaxies with deep neural networksAleksandra Ćiprijanović, J. E. G. Peek, Gregory F. Snyder et al.|Astronomy and Computing|2020Cited by 56
DeepMerge – II. Building robust deep learning algorithms for merging galaxy identification across domainsAleksandra Ćiprijanović, B. Nord, Diana Kafkes et al.|Monthly Notices of the Royal Astronomical Society|2021Cited by 46
DeepGhostBusters: Using Mask R-CNN to detect and mask ghosting and scattered-light artifacts from optical survey imagesDimitrios Tanoglidis, Z. Zhang, Aleksandra Ćiprijanović et al.|Astronomy and Computing|2022Cited by 21
DeepAdversaries: examining the robustness of deep learning models for galaxy morphology classificationAleksandra Ćiprijanović, Stefan M. Wild, Diana Kafkes et al.|Machine Learning Science and Technology|2022Cited by 20
DeepAstroUDA: semi-supervised universal domain adaptation for cross-survey galaxy morphology classification and anomaly detectionAleksandra Ćiprijanović, Stefan M. Wild, Ashia Lewis et al.|Machine Learning Science and Technology|2023Cited by 17