82 citations · 104 across the 6 of their papers we have counts for
6 papers
Covid-19 Detection from Chest X-ray and Patient Metadata using Graph Convolutional Neural Networks
Thosini Bamunu Mudiyanselage, Nipuna Senanayake, Chunyan Ji +2
The novel corona virus (Covid-19) has introduced significant challenges due to its rapid spreading nature through respiratory transmission. As a result, there is a huge demand for…
Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification
Chunyan Ji, Yi Pan
From crying to babbling and then to speech, infant's vocal tract goes through anatomic restructuring. In this paper, we propose a non-invasive fast method of using infant cry signa…
Infant Cry Classification with Graph Convolutional Networks
Chunyan Ji, Ming Chen, Bin Li +1
We propose an approach of graph convolutional networks for robust infant cry classification. We construct non-fully connected graphs based on the similarities among the relevant no…
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks
Xueli Xiao, Chunyan Ji, Thosini Bamunu Mudiyanselage +1
Deep learning has gained great success in various classification tasks. Typically, deep learning models learn underlying features directly from data, and no underlying relationship…
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao, Ming Yan, Sunitha Basodi +2
Convolutional Neural Networks (CNN) have gained great success in many artificial intelligence tasks. However, finding a good set of hyperparameters for a CNN remains a challenging…
Gradient Amplification: An efficient way to train deep neural networks
Sunitha Basodi, Chunyan Ji, Haiping Zhang +1
Improving performance of deep learning models and reducing their training times are ongoing challenges in deep neural networks. There are several approaches proposed to address the…