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Found 2 papers, 1 papers with code
Inner Ensemble Networks: Average Ensemble as an Effective Regularizer
Also, we show empirically and theoretically that IENs lead to a greater variance reduction in comparison with other similar approaches such as dropout and maxout.
Deep Learning for identifying radiogenomic associations in breast cancer
Results: The best AUC performance for distinguishing molecular subtypes was 0. 65 (95% CI:[0. 57, 0. 71]) and was achieved by the off-the-shelf deep features approach.
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