Cost-sensitive hierarchical classification for imbalance classes

This publication has 33 references indexed in Scilit:

• An Improved Protein Structural Classes Prediction Method by Incorporating Both Sequence and Structure Information
  IEEE Transactions on Nanobioscience, 2014
• Cost-sensitive decision tree ensembles for effective imbalanced classification
  Applied Soft Computing, 2014
• An Optimized Cost-Sensitive SVM for Imbalanced Data Learning
  2013
• A weighted rough set based method developed for class imbalance learning
  Information Sciences, 2008
• Cost-sensitive boosting for classification of imbalanced data
  Pattern Recognition, 2007
• Posterior Probability Support Vector Machines for Unbalanced Data
  IEEE Transactions on Neural Networks, 2005
• A study of the behavior of several methods for balancing machine learning training data
  ACM SIGKDD Explorations Newsletter, 2004
• Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior
  2004
• An instance-weighting method to induce cost-sensitive trees
  IEEE Transactions on Knowledge and Data Engineering, 2002
• A Practical Approach to Feature Selection
  1992