3 citations · 5 across the 5 of their papers we have counts for
5 papers
LBL: Logarithmic Barrier Loss Function for One-class Classification
Ziyang Jiang, Peng Lin, Tianlei Wang
One-class classification (OCC) aims to train a classifier only with the target class data and attracts great attention for its strong applicability in real-world application. Despi…
ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis
Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan
Studies show that Studies that cardiovascular diseases (CVDs) are malignant for human health. Thus, it is important to have an efficient way of CVD prognosis. In response to this,…
Deconvolution-and-convolution Networks
Yimin Yang, Wandong Zhang, Jonathan Wu +2
2D Convolutional neural network (CNN) has arguably become the de facto standard for computer vision tasks. Recent findings, however, suggest that CNN may not be the best option for…
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis
Wandong Zhang, QM Jonathan Wu, Yimin Yang +3
Most multilayer least squares (LS)-based neural networks are structured with two separate stages: unsupervised feature encoding and supervised pattern classification. Once the unsu…
Deep Networks with Fast Retraining
Wandong Zhang, Yimin Yang, Jonathan Wu
Recent work [1] has utilized Moore-Penrose (MP) inverse in deep convolutional neural network (DCNN) learning, which achieves better generalization performance over the DCNN with a…