Showing 1 - 19 results of 19 for search 'Chicago Machine', query time: 0.06s Refine Results
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    Own Experience in the Use of Artificial Intelligence Technologies in the Diagnosis of Esophageal Achalasia by O. A. Storonova, N. I. Kanevskii, A. S. Trukhmanov, V. T. Ivashkin

    Published 2024-12-01
    “…For the first time in Russia, a machine learning model based on high-resolution esophageal manometry data was developed at the V. …”
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    Addressing Data Imbalance in Crash Data: Evaluating Generative Adversarial Network’s Efficacy Against Conventional Methods by Bei Zhou, Qianxi Zhou, Zongzhi Li

    Published 2025-01-01
    “…Utilizing traffic crash data from Chicago spanning 2020 to 2022, the research evaluates the capabilities of CTGAN against three traditional data resampling methods, as well as an additional cost-sensitive learning approach. …”
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