2 citations · 4 across the 7 of their papers we have counts for
7 papers
Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling
Fan Li, Bo Wang, Pin Wang +1
The challenge of imbalanced learning lies not only in class imbalance problem, but also in the class overlapping problem which is complex. However, most of the existing algorithms…
A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model
Chuanyan Zhou, Jie Ma, Fan Li +3
Stack autoencoder (SAE), as a representative deep network, has unique and excellent performance in feature learning, and has received extensive attention from researchers. However,…
Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency
Fan Li, Xiaoheng Zhang, Yongming Li +1
The class imbalance problem is important and challenging. Ensemble approaches are widely used to tackle this problem because of their effectiveness. However, existing ensemble meth…
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data
Yiwen Wang, Fan Li, Xiaoheng Zhang +2
Parkinson disease (PD)'s speech recognition is an effective way for its diagnosis, which has become a hot and difficult research area in recent years. As we know, there are large c…
Envelope Imbalance Learning Algorithm based on Multilayer Fuzzy C-means Clustering and Minimum Interlayer discrepancy
Fan Li, Xiaoheng Zhang, Pin Wang +1
Imbalanced learning is important and challenging since the problem of the classification of imbalanced datasets is prevalent in machine learning and data mining fields. Sampling ap…
Integrated Age Estimation Mechanism
Fan Li, Yongming Li, Pin Wang +3
Machine-learning-based age estimation has received lots of attention. Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation betwe…
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…