Paul D. Yoo BSc hon 1, PhD

 

Refereed Journals


P. Yang, J. Fernando, P. D. Yoo, A. Y. Zomaya, B. Zhou, Sample subsets optimization for ensemble classification of small sample size and high-dimensional data, Journal of Information Fusion (submitted) (IF: 2.212)


P. D. Yoo, Y. S. Ho, J. Ng., et al. Hierarchical Kernel Mixture Models for the prediction of AIDS disease progression using HIV structural gp120 profile, Journal of BMC Genomics 2010, 11(4):S22. (IF: 3.76)


P. D. Yoo, B. B. Zhou, A. Y. Zomaya, A modular kernel approach for integrative analysis of protein inter-domain linker regions. BMC Genomics BMC Genomics 2009, 10(3): S21. (IF: 3.76)


P. D. Yoo, S. Ho, B. B. Zhou, A.Y. Zomaya, SiteSeek: Protein Post-Translational Modification Analysis Using Adaptive Locality-Effective Kernel Methods and New Profiles, BMC Bioinformatics, 2008, 9:272. (IF: 3.78)


P. D. Yoo, A. Sikder, J. Taheri, B. B. Zhou, A. Y. Zomaya, DomNet: Protein Domain Boundary Prediction Using Enhanced General Regression Network and New Profiles, IEEE Transactions on NanoBioscience 2008, 7(2), 172–181. (IF: 1.9)


P. D. Yoo, A. Sikder, B. B. Zhou, A. Y. Zomaya, Improved General Regression Network for Domain Boundary Prediction, BMC Bioinformatics, 8(10) : S12, 2008. (IF: 3.78)


P. D. Yoo, B. B. Zhou, A. Y. Zomaya, Machine Learning Techniques for Protein Secondary Structure Prediction: An Overview and Evaluation, Journal of Current Bioinformatics 2008, 3(2), 74–86(13). (IF: 1.255)


Book Chapters


P. D. Yoo, B. B. Zhou, A. Y. Zomaya, Protein domain boundary prediction. In Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications. Wiley 2010, Page 501–519, Edited by Mourad Elloumi and Albert Y. Zomaya.


Refereed Conferences


P. D. Yoo, J. W. P. Ng, A. Y. Zomaya, An energy-efficient kernel framework for large-scale data modeling and classification, IEEE International Parallel and Distributed Processing Symposium 2011 (IPDPS’11). Alaska, U.S.A (accepted)


J.W.P. Ng, N. Azarmi, M. Leida, F. Saffre, A. Afzal, P.D. Yoo, The Intelligent Campus (iCampus): End-to-End Learning Lifecycle of a Knowledge Ecosystem, 2010 Sixth International Conference on Intelligent Environments (IE’10), 332-337, 19-21 July 2010, doi: 10.1109/IE.2010.68


P. D. Yoo, S. Ho, B. B. Zhou, A. Y. Zomaya, Adaptive Locality-Effective Kernel Machine for Phosphorylation Site Prediction, IEEE International Parallel & Distributed Processing Symposium 2008 (IPDPS’08), Miami, Florida, U.S.A, 1–8, 14–18 April 2008 doi: 10.1109/IPDPS.2008.4536173


P. D. Yoo, B. B. Zhou, A. Y. Zomaya, Machine Intelligence in Protein Sequence Analysis and Structure Prediction, International Conference on Bioinformatics and Computational Biology 2007 (BIOCOMP’07), 370–377, Las Vegas, U.S.A


P. D. Yoo, B. B. Zhou, A. Zomaya, The Role of Long-Range Interaction in Protein Secondary Structure Prediction, 11th Annual International Conference on Research in Computational Molecular Biology 2007 (RECOMB’07), San Francisco, U.S.A


M. Kim, P. D. Yoo, Semiparametric Model Approach for Financial Bankruptcy Prediction, Proc. of IEEE International Conference on Engineering of Intelligence Systems 2006, 1–6, doi: 10.1109/ICEIS.2006.1703144


P. D. Yoo, M. Kim, T. Jan, Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation, Proc. of IEEE International Conference on Computational Intelligence for Modeling, Control and Automation 2005 (CIMCA’05), Vienna, Austria 2:835–841, 28-30 Nov. 2005 doi: 10.1109/CIMCA.2005.1631572 (accepted as the best paper candidate)