Showing 1,501 - 1,520 results of 32,966 for search 'features development', query time: 0.24s Refine Results
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    Optimized Clinical Feature Analysis for Improved Cardiovascular Disease Risk Screening by Sofiya Vyshnya, Rachel Epperson, Felipe Giuste, Wenqi Shi, Andrew Hornback, May D. Wang

    Published 2024-01-01
    “…The machine learning model developed using this optimized feature set achieved state-of-the-art results, with an AUROC of 91.30%, sensitivity of 89.01%, and specificity of 85.39%. …”
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    A robust covariate‐invariant gait recognition based on pose features by Anubha Parashar, Apoorva Parashar, Rajveer Singh Shekhawat

    Published 2022-11-01
    “…This study proposes an approach based on pose features to attempt gait recognition of people with an overcoat, carrying objects, or other covariates. …”
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    Leveraging retinal vascular features in non-invasive, early diagnosis of preeclampsia by Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar

    Published 2025-07-01
    “…Wu et al.’s recent article, “Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features,” documents significant differences in retinal vascular features among women who develop preeclampsia and those with normotensive pregnancies. …”
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    Challenges and Perspectives in Interpretable Music Auto-Tagging Using Perceptual Features by Vassilis Lyberatos, Spyridon Kantarelis, Edmund Dervakos, Giorgos Stamou

    Published 2025-01-01
    “…In this work, we explored the usefulness of interpretability for music auto-tagging. We developed a pipeline incorporating three types of information extraction procedures: 1) symbolic knowledge, 2) auxiliary deep neural networks, and 3) signal processing, to extract perceptual features of audio files, which were then used to train an explainable machine learning model to predict tags. …”
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    Clustering of precipitation features by a new validity index over Iran by Sanaz Moghim, Reza Rajabi

    Published 2025-06-01
    “…This study clusters precipitation data over Iran to identify meaningful regional patterns based on six features, including extreme indices (Rx1day, SDII, R95p, R99p, R10) and monthly average precipitation (Pmon) during 2001–2020. …”
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    Russian Science and Technology Foresight – 2030: Key Features and First Results by Alexander Sokolov, Alexander Chulok

    Published 2012-03-01
    “… This paper reviews national features in the general evolution of science and technology (S&T) foresight over the last decade. …”
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