Protein Folding Class Predictor for SCOP: Approach Based on Global Descriptors

An empirical analysis of under-sampling techniques to balance a protein structural class dataset

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

The application of fusion of heterogeneous meta classifiers to enhance protein fold prediction accuracy

ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I

An effective feature selection algorithm based on the class similarity used with a SVM-RDA classifier to protein fold recognition

HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II

A hybrid discriminative/generative approach to protein fold recognition

Neurocomputing

Using rotation forest for protein fold prediction problem: an empirical study

EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Protein fold recognition with combined SVM-RDA classifier

HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I