Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length
2017 · Neural Computation · 35 citations
https://doi.org/10.1162/neco_a_00980
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Steven Squires
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Steven Squires is an academic researcher from University of Exeter. The author has contributed to research in topics: AI in cancer detection & Digital Radiography and Breast Imaging & Global Cancer Incidence and Screening. The author has an h-index of 6, co-authored 37 publications.
ORCID: 0000-0003-3681-1342Papers by this author
worksNon-autoimmune, insulin-deficient diabetes in children and young adults in Africa: evidence from the Young-Onset Diabetes in sub-Saharan Africa (YODA) cross-sectional study
2025 · The Lancet Diabetes & Endocrinology · 8 citations
https://doi.org/10.1016/s2213-8587(25)00120-2
Exploring the application of deep learning methods for polygenic risk score estimation
2025 · Biomedical Physics & Engineering Express · 6 citations
https://doi.org/10.1088/2057-1976/adbb71
Ethnic differences in the manifestation of early-onset type 2 diabetes
2024 · BMJ Open Diabetes Research & Care · 4 citations
https://doi.org/10.1136/bmjdrc-2024-004174
Maintaining high resolution information in AI-based breast cancer risk prediction
2024 · 1 citations
https://doi.org/10.1117/12.3006522
The Impact of Ancestry on Performance of Type 1 Diabetes Genetic Risk Scores: High Discrimination Performance Is Maintained in African Ancestry Populations, but Population-Specific Thresholds May Improve Risk Prediction
2026 · Diabetes Care · 0 citations
https://doi.org/10.2337/dc25-1833
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