PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Tai, Phang C."

Author of the publication

copydeleteadd this publication to your clipboard
Transmembrane segments prediction and understanding using support vector machine and decision tree.

, , , , and . Expert Syst. Appl., 30 (1): 64-72 (2006)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

C. Traut

C. Honold

Tzu-Ying Chen University of Stuttgart

Replication Data for: Structural development of a novel punctually supported timber building system for multi-storey construction : Experimental Data: Tension Tests of the Edge Connection, , , , , and . Dataset, (2024)Related to: Anna Krtschil, Luis Orozco, Simon Bechert, Hans Jakob Wagner, Felix Amtsberg, Tzu-Ying Chen, Anand Shah, Achim Menges, Jan Knippers, "Structural development of a novel punctually supported timber building system for multi-storey construction", Journal of Building Engineering, Volume 58, 2022, pages 104972. doi: 10.1016/j.jobe.2022.104972.

Jannis Clausius University of Stuttgart

Graph Neural Network-based Joint Equalization and Decoding, , , and . (2024)

Dr. Torbjörn Cunis University of Stuttgart

 

Other publications of authors with the same name

Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining., , , , and . CIBCB, page 418-425. IEEE, (2007)Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier., , , , and . CSB Workshops, page 213-214. IEEE Computer Society, (2005)Rule Extraction from SVM for Protein Structure Prediction., , , , , and . Rule Extraction from Support Vector Machines, volume 80 of Studies in Computational Intelligence, Springer, (2008)Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction., , , , and . CIBCB, page 317-322. IEEE, (2007)Clustering support vector machines for protein local structure prediction., , , , and . Expert Syst. Appl., 32 (2): 518-526 (2007)Transmembrane segments prediction with support vector machine based on high performance encoding schemes., , , and . CIBCB, page 134-139. IEEE, (2004)Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering., , , and . GrC, page 449-452. IEEE, (2006)Protein secondary structure prediction using support vector machine with advanced encoding schemes., , , and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 5433 of SPIE Proceedings, page 80-87. SPIE, (2004)Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction., , , , and . International Conference on Computational Science (2), volume 3992 of Lecture Notes in Computer Science, page 710-717. Springer, (2006)Understanding Protein Structure Prediction Using SVM_DT., , , , , and . ISPA Workshops, volume 3759 of Lecture Notes in Computer Science, page 203-212. Springer, (2005)