Hae-Jin Hu
According to our database1,
Hae-Jin Hu
authored at least 13 papers
between 2004 and 2012.
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Bibliography
2012
Bioinform., 2012
2011
Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction.
Int. J. Data Min. Bioinform., 2011
2008
Proceedings of the Rule Extraction from Support Vector Machines, 2008
2007
A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007
Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
2006
Transmembrane segments prediction and understanding using support vector machine and decision tree.
Expert Syst. Appl., 2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
2005
Proceedings of the Parallel and Distributed Processing and Applications, 2005
Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
2004
Protein secondary structure prediction using support vector machine with advanced encoding schemes.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004
Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004
Transmembrane segments prediction with support vector machine based on high performance encoding schemes.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004