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    From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

    Published 2024-09-01
    “…Finally, automated classification (e) refers to the process of developing a predictive model that assigns input features of data samples to predefined categories or classes using supervised ML. …”
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    ENSEMBLE RESAMPLING SUPPORT VECTOR MACHINE, MULTINOMIAL REGRESSION TO MULTICLASS IMBALANCED DATA by Laila Qadrini, Hikmah Hikmah, Elviani Tande, Ignasius Presda, Aulia Atika Maghfirah, Nilawati Nilawati, Handayani Handayani

    Published 2024-03-01
    “…Imbalanced data is a commonly encountered issue in classification analysis. This issue gives rise to prediction errors in the classification process, which in turn affects the sensitivity, particularly in the minority class. …”
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  15. 1295

    LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree by Wenzheng Bao, Bin Yang, Rong Bao, Yuehui Chen

    Published 2019-01-01
    “…In this work, we have proposed a method named LipoFNT, which employed the two featuring sets, including the Position-Specific Scoring Matrix and bi-profile Bayesian, as the classification features. And then, the flexible neural tree algorithm is utilized to deal with the imbalance classification issue in lipoylation modification sample dataset. …”
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  16. 1296

    EVALUATION OF POTENTIAL RISK POSED BY MEDICATIONS TO THE FETUS by S.A. Sher, A.V. Ostrovskaya

    Published 2010-05-01
    “…Further research in this area makes it possible to improve the classification of medications by degree of their embryotoxic and teratogenic risk and address the issue of selecting safe medications during pregnancy. …”
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    Editor’s Note by Alberto Raposo

    Published 2017-09-01
    “…Qualis is the journal classification index of CAPES (Brazilian governmental agency for improvement of higher education personnel), and the classification refers to the period of 2013-2016. …”
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    Target sample mining with modified activation residual network for speaker verification. by Ji Chaoqun, Chen Wei, Ye Peng, Wang Zhou, Zhou Shuhang

    Published 2025-01-01
    “…It is also important to notice the issue of the disparity in the number of positive and negative samples in the sampling process of a binary classification problem. …”
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    Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network by Nick J. Pizzi, Witold Pedrycz

    Published 2012-01-01
    “…To address this pattern classification issue, we present a technique using an adaptive network of fuzzy logic connectives to combine class boundaries generated by sets of discriminant functions. …”
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    Sur le classement des relatives adjectives by Jacques Evouna

    Published 2015-06-01
    “…We examine in what follows a typological issue: the classification of restrictive and non-restrictive relative clauses. …”
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