2 citations · 5 across the 9 of their papers we have counts for
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cs.CV2020★ 2 cited
Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition
Yongming Li, Lang Zhou, Lingyun Qin +5
Diagnosis and therapeutic effect assessment of Parkinson disease based on voice data are very important,but its few-shot learning problem is challenging.Although deep learning is g…
cs.LG2020
Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble
Yongming Li, Yan Lei, Pin Wang +1
Deep learning is a kind of feature learning method with strong nonliear feature transformation and becomes more and more important in many fields of artificial intelligence. Deep a…
cs.LG2020★ 1 cited
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection
Xiaoheng Zhang, Yongming Li, Pin Wang +2
Labeled speech data from patients with Parkinsons disease (PD) are scarce, and the statistical distributions of training and test data differ significantly in the existing datasets…