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Ablation experiments on the CNN model using different datasets.

Figshare2025-04-03 更新2026-04-28 收录

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数据链接：

https://figshare.com/articles/dataset/Parameters_for_activating_immediate_transitions_/28176012 数据链接链接失效反馈

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Ablation experiments on the CNN model using different datasets.

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创建时间：

2025-04-03

相关数据集

timaeus/min_loss_delta_ablation_l1h3

机器学习

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该数据集包含三个主要特征：contents（内容，数据类型为字符串）、metadata（元数据，包含一个名为pile_set_name的字符串序列）和id（标识符，数据类型为int64）。数据集分为一个训练集（train），包含10,000个样本，占用16,373,421字节。下载大小为10,829,039字节，数据集总大小为16,373,421字节。配置文件指定了默认配置，数据文件路径为data

Hugging Face2024-12-03 更新170

Evaluation Metrics Results From The Missing Type-II Fuzzy Set Visibility Enhancement Module Ablation Experiment On The Test-C60 dataset.

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Evaluation Metrics Results From The Missing Type-II Fuzzy Set Visibility Enhancement Module Ablation Experiment On The Test-C60 dataset.

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Statistical Comparison of CNN Models with Other Classifiers.

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Statistical Comparison of CNN Models with Other Classifiers.

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Ablations-fixed_uncorfiles

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Raw, uncorrected segmentation data (.csv files) for immunofluorescence images (fixed samples) belonging to ablation experiments from Saiz et al. , eLife 2020;9:e56079 (Figure 5, Figure 5-supplem

DataCite Commons2020-09-16 更新80

Ablation experiments: Mean accuracy and k-score of deep learning models with various combinations.

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性能评估

Ablation experiments: Mean accuracy and k-score of deep learning models with various combinations.

NIAID Data Ecosystem10