3 Result(s)
within
Conference Paper
Chunyan Ji
English
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Chapter and Conference Paper
Infant Cry Classification Based-On Feature Fusion and Mel-Spectrogram Decomposition with CNNs
We propose a novel method of using feature fusion and model fusion to improve infant cry classification performance. Spectrogram features extracted from transfer learning convolutional neural network model and...
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Chapter and Conference Paper
Predicting Drug Drug Interactions by Signed Graph Filtering-Based Convolutional Networks
Drug drug interactions (DDIs) are crucial for drug research and pharmacologia. Recently, graph neural networks (GNNs) have handled these interactions successfully and shown great predictive performance, but mo...
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Chapter and Conference Paper
Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge
We propose an approach of generating a hybrid feature set and using prior knowledge in a multi-stage CNNs for robust infant sound classification. The dominant and auxiliary features within the set are benefici...
