相关数据集
Training CNNs with Low-Rank Filters for Efficient Image Classification: Trained Models
Models from experiments referenced in the paper "Training CNNs with Low-Rank Filters for Efficient Image Classification", https://arxiv.org/abs/1511.06744 Model names differ from those in the paper,
NIAID Data Ecosystem90
Net Reclassification Improvement (NRI) of model with body weight compared to model with BMD.
Values are differences in proportion of correct classification between the models with weight and BMD in each category. Negative values showed that the model with BMD performed better than the model w
Figshare2015-12-02 更新50
Implementation of the SAACS in python.
Codes that were used for training and evaluation of the DenseNet-512 and DenseNet-1024, including code which delineates class probability graphs. (RAR)
Figshare2019-05-30 更新30
Comparative Analysis of Bagging-Enhanced Classification Models.
Comparative Analysis of Bagging-Enhanced Classification Models.
Figshare2025-08-01 更新50
Bootstrapped fine-tuned Alexnet compared to C1 readings.
Bootstrapped fine-tuned Alexnet compared to C1 readings.
NIAID Data Ecosystem30
