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

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Code used for data analysis in this study. حسب Nourin Sultana (22339463)

USDA-ARS Tucson, Arizona 2014-2022 Data Reservoir of Field Experiments with Managed Honey Bee Colonies: Annotated Hive Frame Photos: Dataset I حسب Vladimir Kulyukin (21983990)

Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance حسب Edgar Vega (21981590)

Code حسب Baoqiang Chen (21099509)

Schematic diagram of chromosome coding. حسب Meilin Zhu (688698)

Data_Sheet_1_Sex differences in brain MRI using deep learning toward fairer healthcare outcomes.PDF حسب Mahsa Dibaji (20177271)

"…Our code and saliency maps are available at https://github.com/mahsadibaji/sex-differences-brain-dl.…"

An overview of the organization of the study program. حسب Marialuisa Gandolfi (8639238)

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Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. حسب Marialuisa Gandolfi (8639238)

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The schedule of enrolment, interventions, and assessments. حسب Marialuisa Gandolfi (8639238)

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

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The structural mutation of neuroevolution. حسب Wenbing Shi (5806160)

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The CGO risk prediction process based on data augmentation and neuroevolution. حسب Wenbing Shi (5806160)

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

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The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

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The analysis of feature importance. حسب Wenbing Shi (5806160)

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S1 Data - حسب Wenbing Shi (5806160)

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The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

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

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The construction process of the CGO prediction model. حسب Wenbing Shi (5806160)

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