9 citations · 12 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Adversarially Robust Frame Sampling with Bounded Irregularities
Hanhan Li, Pin Wang
In recent years, video analysis tools for automatically extracting meaningful information from videos are widely studied and deployed. Because most of them use deep neural networks…
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles
Pin Wang, Hanhan Li, Ching-Yao Chan
Reinforcement Learning algorithms have recently been proposed to learn time-sequential control policies in the field of autonomous driving. Direct applications of Reinforcement Lea…