Hae-Jin Hu - RankMe

13 papers C 3Misc 1Journal 3Unranked 5

Year	Rank	Type	Title / Venue / Authors
2012	J	`jnl`	CNVRuler: a copy number variation-based case-control association analysis tool. Bioinform. Ji-Hong Kim, Hae-Jin Hu, Seon-Hee Yim, Joon Seol Bae, Seon-Young Kim, Yeun-Jun Chung
2011	J	`jnl`	Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction. Int. J. Data Min. Bioinform. Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2008	—	`ch.`	Rule Extraction from SVM for Protein Structure Prediction. Rule Extraction from Support Vector Machines Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2007	—	`conf`	A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction. ISBRA Gulsah Altun, Hae-Jin Hu, Stefan Gremalschi, Robert W. Harrison, Yi Pan
2007	C	`conf`	Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. CIBCB Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan
2006	Misc	`conf`	Hybrid SVM Kernels for Protein Secondary Structure Prediction. GrC Gulsah Altun, Hae-Jin Hu, Dumitru Brinza, Robert W. Harrison, Alexander Zelikovsky, Yi Pan
2006	J	`jnl`	Transmembrane segments prediction and understanding using support vector machine and decision tree. Expert Syst. Appl. Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2005	—	`conf`	Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. CSB Workshops Hae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan
2005	—	`conf`	Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. CSB Workshops Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2005	—	`conf`	Understanding Protein Structure Prediction Using SVM_DT. ISPA Workshops Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2004	C	`conf`	Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction. CIBCB Wei Zhong, Gulsah Altun, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2004	—	`conf`	Protein secondary structure prediction using support vector machine with advanced encoding schemes. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Hae-Jin Hu, Yi Pan, Robert W. Harrison, Phang C. Tai
2004	C	`conf`	Transmembrane segments prediction with support vector machine based on high performance encoding schemes. CIBCB Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan