A Cluster-then-label Semi-supervised Learning Approach for Pathology Image Classification

Semi-supervised self-training for decision tree classifiers

(2015) Jafar Tanha et al.   International Journal of Machine Learning and Cybernetics

Using clustering analysis to improve semi-supervised classification

(2012) Haitao Gan et al.   NEUROCOMPUTING

Robust and Scalable Graph-Based Semisupervised Learning

(2012) Wei Liu et al.   PROCEEDINGS OF THE IEEE

Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach

(2012) Stephan Wienert et al.   Scientific Reports

Semi-supervised learning improves gene expression-based prediction of cancer recurrence

(2011) Mingguang Shi et al.   BIOINFORMATICS

Increasing specimen coverage using digital whole-mount breast pathology: Implementation, clinical feasibility and application in research

(2011) Gina M. Clarke et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

A feature selection method based on improved fisher’s discriminant ratio for text sentiment classification

(2011) Suge Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle

(2008) A. Fujino et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE