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Showing 1 - 8 results of 8 for search '(( 50 _ decrease ) OR ((( 50 nn decrease ) OR ((( 5 g decrease ) OR ( 5 a decrease ))))))~', query time: 0.83s Refine Results
  1. 1
    Fig 5 -

    Fig 5 - by Dennis Ochola (11626912)

    Published 2022
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  2. 2
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  3. 3
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

    Published 2022
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  4. 4
    Fig 9 -

    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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  5. 5
    Fig 7 -

    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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  6. 6
    Fig 4 -

    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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  7. 7
    Expanding Three-Coordinate Gold(I) Anticancer Agent Chemical Space

    Expanding Three-Coordinate Gold(I) Anticancer Agent Chemical Space by Charles E. Greif (21728091)

    Published 2025
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  8. 8
    Temporal profiles of the key BO-NN features.

    Temporal profiles of the key BO-NN features. by Julia Berezutskaya (9080269)

    Published 2020
    “…Right plot show the gradual decrease in the TM tuning for the features highlighted in <b>c</b> as well as the gradual increase in the temporal response profile (i.e. optimal shifts for the prediction of the key BO-NN features using Praat features shown in <b>a</b>). …”
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