4 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.SP2019★ 4 cited
Fully Dense Neural Network for the Automatic Modulation Recognition
Miao Du, Qin Yu, Shaomin Fei +3
Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR. Based on expert experience and spectrograms,…
cs.LG2019★ 1 cited
Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification
Chen Wang, Chengyuan Deng, Zhoulu Yu +3
The dynamic ensemble selection of classifiers is an effective approach for processing label-imbalanced data classifications. However, such a technique is prone to overfitting, owin…