 | 2009 |
| 20 |  | Stephanus Daniel Handoko,
Chee Keong Kwoh,
Yew-Soon Ong:
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems.
Australasian Conference on Artificial Intelligence 2009: 391-400 |
| 19 |  | Adrianto Wirawan,
Bertil Schmidt,
Chee Keong Kwoh:
Pairwise Distance Matrix Computation for Multiple Sequence Alignment on the Cell Broadband Engine.
ICCS (1) 2009: 954-963 |
| 18 |  | Adrianto Wirawan,
Bertil Schmidt,
Huiliang Zhang,
Chee Keong Kwoh:
High performance protein sequence database scanning on the Cell Broadband Engine.
Scientific Programming 17(1-2): 97-111 (2009) |
| 2008 |
| 17 |  | Stephanus Daniel Handoko,
Chee Keong Kwoh,
Yew-Soon Ong,
Meng-Hiot Lim:
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients.
IEEE Congress on Evolutionary Computation 2008: 4031-4038 |
| 16 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh:
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions.
Computational Intelligence in Biomedicine and Bioinformatics 2008: 397-421 |
| 15 |  | Adrianto Wirawan,
Chee Keong Kwoh,
Nim Tri Hieu,
Bertil Schmidt:
CBESW: Sequence Alignment on the Playstation 3.
BMC Bioinformatics 9: (2008) |
| 14 |  | Guanglan Zhang,
Asif M. Khan,
Kellathur N. Srinivasan,
A. T. Heiny,
Kenneth X. Lee,
Chee Keong Kwoh,
J. Thomas August,
Vladimir Brusic:
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes.
BMC Bioinformatics 9(S-1): (2008) |
| 13 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh:
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model.
IJBRA 4(1): 64-80 (2008) |
| 2007 |
| 12 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh:
Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction.
CIDM 2007: 674-680 |
| 11 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh:
Training the Hidden Vector State Model from Un-annotated Corpus.
International Conference on Computational Science (2) 2007: 378-385 |
| 10 |  | Adrianto Wirawan,
Chee Keong Kwoh,
Bertil Schmidt:
Parallel DNA Sequence Alignment on the Cell Broadband Engine.
PPAM 2007: 1249-1256 |
| 9 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh,
Hao Wang:
Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering.
PRIB 2007: 198-205 |
| 8 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh:
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions.
Artificial Intelligence in Medicine 41(3): 209-222 (2007) |
| 2006 |
| 7 |  | Yun Zheng,
Chee Keong Kwoh:
Informative MicroRNA Expression Patterns for Cancer Classification.
BioDM 2006: 143-154 |
| 6 |  | Seng Hong Seah,
Chee Keong Kwoh,
Vladimir Brusic,
Meena Kishore Sakharkar,
Geok See Ng:
Functional Prediction of Snake Neurotoxins.
ICARCV 2006: 1-4 |
| 5 |  | Stephanus Daniel Handoko,
Chee Keong Kwoh,
Yew-Soon Ong,
Guanglan Zhang,
Vladimir Brusic:
Extreme Learning Machine for Predicting HLA-Peptide Binding.
ISNN (2) 2006: 716-721 |
| 4 |  | Deyu Zhou,
Yulan He,
Chee Keong Kwoh:
Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model.
International Conference on Computational Science (2) 2006: 718-725 |
| 3 |  | Yun Zheng,
Chee Keong Kwoh:
Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks.
IJDMB 1(2): 111-137 (2006) |
| 2 |  | Yun Zheng,
Chee Keong Kwoh:
Cancer Classification With MicroRNA Expression Patterns Found By An Information Theory Approach.
JCP 1(5): 30-39 (2006) |
| 2004 |
| 1 |  | Zonglin Zhou,
Chee Keong Kwoh:
The Pattern Classification Based on the Nearest Feature Midpoints.
ICPR (3) 2004: 446-449 |