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driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
joint optimization » policy optimization (Expand Search), wolf optimization (Expand Search), codon optimization (Expand Search)
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Showing 1 - 7 results of 7 for search '(( binary mask driven optimization algorithm ) OR ( primary data joint optimization algorithm ))*', query time: 0.42s Refine Results
  1. 1
    Data_Sheet_1_Phase-wise evaluation and optimization of non-pharmaceutical interventions to contain the COVID-19 pandemic in the U.S..pdf

    Data_Sheet_1_Phase-wise evaluation and optimization of non-pharmaceutical interventions to contain the COVID-19 pandemic in the U.S..pdf by Xiao Zhou (122661)

    Published 2023
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  2. 2
    Experimental observation of gastruloids and shape quantification using LOCO-EFA.

    Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

    Published 2024
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  3. 3
    Data_Sheet_1_Adaptive restraint design for a diverse population through machine learning.pdf

    Data_Sheet_1_Adaptive restraint design for a diverse population through machine learning.pdf by Wenbo Sun (531308)

    Published 2023
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  4. 4
    Data_Sheet_1_A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions.PDF

    Data_Sheet_1_A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions.PDF by Leon Lufkin (11276856)

    Published 2021
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  5. 5
    Double-Matched Matrix Decomposition for Multi-View Data

    Double-Matched Matrix Decomposition for Multi-View Data by Dongbang Yuan (12456113)

    Published 2022
    “…<p>We consider the problem of extracting joint and individual signals from multi-view data, that is, data collected from different sources on matched samples. …”
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  6. 6
    Image 1_Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer.jpeg

    Image 1_Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer.jpeg by Pu Zhou (3957440)

    Published 2025
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  7. 7
    Table_1_Prediction of pCR based on clinical-radiomic model in patients with locally advanced ESCC treated with neoadjuvant immunotherapy plus chemoradiotherapy.docx

    Table_1_Prediction of pCR based on clinical-radiomic model in patients with locally advanced ESCC treated with neoadjuvant immunotherapy plus chemoradiotherapy.docx by Xiaohan Wang (691917)

    Published 2024
    “…Concurrently, related clinical data was amassed. Feature selection was facilitated using the Extreme Gradient Boosting (XGBoost) algorithm, with model validation conducted via fivefold cross-validation. …”
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