Ensemble classification from deep predictions with test data augmentation
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-03976-7
Abstract: Data augmentation has become a standard step to improve the predictive power and robustness of convolutional neural networks by means of the synthetic generation of new samples depicting different deformations. This step has been traditionally… read more here.
Keywords: augmentation; data augmentation; deep predictions; classification deep ... See more keywords
Filtered Multicarrier Waveforms Classification: A Deep Learning-Based Approach
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DOI: 10.1109/access.2021.3078252
Abstract: Automatic signal recognition (ASR) plays an important role in various applications such as dynamic spectrum access and cognitive radio, hence it will be a key enabler for beyond 5G communications. Recently, many research works have… read more here.
Keywords: learning based; filtered multicarrier; multicarrier waveforms; classification deep ... See more keywords
Are Classification Deep Neural Networks Good for Blind Image Watermarking?
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DOI: 10.3390/e22020198
Abstract: Image watermarking is usually decomposed into three steps: (i) a feature vector is extracted from an image; (ii) it is modified to embed the watermark; (iii) and it is projected back into the image space… read more here.
Keywords: image; deep neural; neural networks; classification deep ... See more keywords