Search alternatives:
performance decrease » performance decreases (Expand Search), performance metrics (Expand Search), performance across (Expand Search)
class performance » chaos performance (Expand Search), classifier performance (Expand Search), best performance (Expand Search)
marked decrease » marked increase (Expand Search)
performance decrease » performance decreases (Expand Search), performance metrics (Expand Search), performance across (Expand Search)
class performance » chaos performance (Expand Search), classifier performance (Expand Search), best performance (Expand Search)
marked decrease » marked increase (Expand Search)
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Class-wise performance on the test set.
Published 2025“…It is found that the experiment results provide promising classification performance for three classes – Alzheimer’s Disease (AD), Mild Cognitive Impairment (MCI) and Cognitively Normal (CN) with an overall accuracy of 97.78% ± 0.54%, precision of 97.18% ± 1.14% (AD), 97.78% ± 0.29% (CN) and 97.03% ± 1.10% (MCI), recall of 97.90% ± 0.77% (AD), 97.49% ± 1.34% (CN) and 97.25% ± 0.99% (MCI), and F1 score of 97.74% ± 0.63% (AD), 97.78% ± 0.79% (CN), and 97.54% ± 0.69%(MCI). …”
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Group-level narrow- and broad-band spectral changes after hemispherotomy reveal a marked EEG slowing of the isolated cortex, robust across patients.
Published 2025“…This decrease was larger in the disconnected than in the contralateral cortex. …”
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Biases in larger populations.
Published 2025“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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Evaluation of benchmark and optimal model performance with resampling techniques.
Published 2024Subjects: -
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Performance enhancements of classification models using the oversampling method (SMOTE).
Published 2024Subjects: -
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Performance enhancements of classification models using the undersampling method (NearMiss).
Published 2024Subjects: -
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Performance comparison of AUC, MCC, and F1 across different IR on GMSC dataset.
Published 2024Subjects: -
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”