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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 An Improved Approach for Text Sentiment Classification Based on a Deep Neural Network via a Sentiment Attention Mechanism Li; Liu; Zhang In: Future Internet ; Volume 11 ; Issue 4 (2019) BASE Show details 2 Tooth-Marked Tongue Recognition Using Gradient-Weighted Class Activation Maps Yue Sun; Songmin Dai; Jide Li; Yin Zhang; Xiaoqiang Li In: Future Internet ; Volume 11 ; Issue 2 (2019) Abstract: The tooth-marked tongue is an important indicator in traditional Chinese medicinal diagnosis. However, the clinical competence of tongue diagnosis is determined by the experience and knowledge of the practitioners. Due to the characteristics of different tongues, having many variations such as different colors and shapes, tooth-marked tongue recognition is challenging. Most existing methods focus on partial concave features and use specific threshold values to classify the tooth-marked tongue. They lose the overall tongue information and lack the ability to be generalized and interpretable. In this paper, we try to solve these problems by proposing a visual explanation method which takes the entire tongue image as an input and uses a convolutional neural network to extract features (instead of setting a fixed threshold artificially) then classifies the tongue and produces a coarse localization map highlighting tooth-marked regions using Gradient-weighted Class Activation Mapping. Experimental results demonstrate the effectiveness of the proposed method. Keyword: convolutional neural network; gradient-weighted class activation maps; tooth-marked tongue URL: https://doi.org/10.3390/fi11020045 BASE Hide details 3 An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM Rahman; Siddiqui In: Symmetry ; Volume 11 ; Issue 10 (2019) BASE Show details 4 Identification Technology of Grid Monitoring Alarm Event Based on Natural Language Processing and Deep Learning in China Bai; Sun; Zang... In: Energies ; Volume 12 ; Issue 17 (2019) BASE Show details 5 A Method of Speech Coding for Speech Recognition Using a Convolutional Neural Network Mariusz Kubanek; Janusz Bobulski; Joanna Kulawik In: Symmetry ; Volume 11 ; Issue 9 (2019) BASE Show details 6 Acoustic event, spoken keyword and emotional outburst detection Xu, Yijia. - 2019 BASE Show details

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