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Comparison of training performance between BEFB-integrated models and the original ones.

NIAID Data Ecosystem2026-05-10 收录

数据链接：

https://figshare.com/articles/dataset/Comparison_of_training_performance_between_BEFB-integrated_models_and_the_original_ones_/30106961 数据链接链接失效反馈

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资源简介：

Comparison of training performance between BEFB-integrated models and the original ones.

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创建时间：

2025-09-11

大型语言模型评估

模型性能基准测试

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The AUC and AUPR values of the five methods for the four types of proteins in each validation set (previous and updated dataset).

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模型性能基准测试

The AUC and AUPR values of the five methods for the four types of proteins in each validation set (previous and updated dataset).

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Algorithm comparison - top performances.

缺血性卒中预测

机器学习模型优化

Stroke analysis using game theory and machine learning techniques. The study investigates the use of the Shapley value in predictive ischemic brain stroke analysis. Initially, preference algorithms id

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Comparison table of the proposed model.

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Computational efficiency of some standard single-neuron models.

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The ts to FP column is the number of time steps taken to approach the FP with a tolerance of 10−8. The ms/ts column shows the proposed scale factors for the time step of each model, assuming a spikes

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Comparison of training performance between BEFB-integrated models and the original ones.

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