Base importance of disease-related m⁷G host sequences and the conserved motif. by Hui Liu (33624)

MATLAB-based annotation tool graphical user interface with an example scan from the Pancreas-CT dataset. by Henrik Mustonen (20378529)

Facilitating recycling of 6xxx series aluminum alloys by machine-learning based optimization by Tanu Tiwari (20773745)

Learning of the transformer layer. by Xueliang Guo (4797057)

“…To overcome these challenges, we introduce an advanced neuroimaging technology based on deep learning, the SWI-BITR-UNet model. …”

Behavior transition networks generated from the sample data of <i>Neolamprologus multifasciatus</i> from the website (S1 Dataset). by Nicolai Kraus (19949667)

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Behavioral timelines for subject 9 from the sample data of <i>Neolamprologus multifasciatus</i> from the website (S1 Dataset). by Nicolai Kraus (19949667)

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Performance of ML algorithms in the test sample according to AUC, accuracy and F2 metrics, with respective 95% confidence intervals. by Gilson Yuuji Shimizu (19837946)

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Performance Comparison of the Proposed Hybrid Model with Deep Learning Models on the MIMIC-III test set. Metrics are reported as point estimates with 95% CIs. The proposed SVM-PSO-... by Medhat A. Tawfeek (22522087)

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Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

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Performance of fourteen machine learning models in validation and test cohorts. by Junying Wei (1710550)

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Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. by Liyan Sun (760586)

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Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. by Daniel Suárez-Barrera (22676654)

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Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

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Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). by Daniel Suárez-Barrera (22676654)

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Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. by Daniel Suárez-Barrera (22676654)

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Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. by Daniel Suárez-Barrera (22676654)

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Table 1_Machine learning-based prediction of mortality in pediatric trauma patients.docx by Alex Deleon (20796524)

The structure of the NANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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Evaluation indexes of different methods on the test set. by Wenbing Shi (5806160)

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The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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