Modeling radiation-induced lung injury risk with an ensemble of support vector machines

This publication has 35 references indexed in Scilit:

• High-dose Heart Irradiation is a Statistically Significant Risk Factor for Radiation Pneumonitis within Logistic-multivariate Modeling
  International Journal of Radiation Oncology - Biology - Physics (IJROBP), 2008
• AdaBoost with SVM-based component classifiers
  Engineering Applications of Artificial Intelligence, 2008
• Roughly Balanced Bagging for Imbalanced Data
  2008
• Predicting Lung Radiotherapy-Induced Pneumonitis Using a Model Combining Parametric Lyman Probit With Nonparametric Decision Trees
  International Journal of Radiation Oncology - Biology - Physics (IJROBP), 2007
• Training a Support Vector Machine in the Primal
  Neural Computation, 2007
• Modeling radiation pneumonitis risk with clinical, dosimetric, and spatial parameters
  International Journal of Radiation Oncology - Biology - Physics (IJROBP), 2006
• A study of the behavior of several methods for balancing machine learning training data
  ACM SIGKDD Explorations Newsletter, 2004
• Cancer recognition with bagged ensembles of support vector machines
  Neurocomputing, 2003
• Performance Degradation in Boosting
  2001
• A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
  Journal of Computer and System Sciences, 1997