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3 papers · 1 filter
cs.CV2024★ 10 cited
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model
Sepehr Salem Ghahfarokhi, Tyrell To, Julie Jorns +3
Data limitation is a significant challenge in applying deep learning to medical images. Recently, the diffusion probabilistic model (DPM) has shown the potential to generate high-q…
cs.DM2024
Restricted Permutations Enumerated by Inversions
Atli Fannar Franklín, Anders Claesson, Christian Bean +2
Permutations are usually enumerated by size, but new results can be found by enumerating them by inversions instead, in which case one must restrict one's attention to indecomposab…
cs.HC2024★ 22 cited
Are We Asking the Right Questions?: Designing for Community Stakeholders' Interactions with AI in Policing
MD Romael Haque, Devansh Saxena, Katy Weathington +2
Research into recidivism risk prediction in the criminal legal system has garnered significant attention from HCI, critical algorithm studies, and the emerging field of human-AI de…