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2020 – today
- 2022
[j26]Yuxi Li
, Tak-Ming Chan, Jinghan Feng, Liang Tao, Jie Jiang, Bo Zheng, Yong Huo, Jianping Li:
A pattern-discovery-based outcome predictive tool integrated with clinical data repository: design and a case study on contrast related acute kidney injury. BMC Medical Informatics Decis. Mak. 22(1): 103 (2022)
2010 – 2019
- 2018
- [c11]Peipei Chen, Caro Fuchs, Anna Wilbik, Tak-Ming Chan, Saskia van Loon, Arjen-Kars Boer, Xudong Lu, Volkher Scharnhorst, Uzay Kaymak:
On the Interaction Between Feature Selection and Parameter Determination in Fuzzy Modelling. IPMU (3) 2018: 150-161 - 2017
- [j25]Zhengxing Huang, Tak-Ming Chan, Wei Dong:
MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records. J. Biomed. Informatics 66: 161-170 (2017) - [j24]Tak-Ming Chan, Yuxi Li, Choo Chiap Chiau, Jane Zhu, Jie Jiang, Yong Huo:
Imbalanced target prediction with pattern discovery on clinical data repositories. BMC Medical Informatics Decis. Mak. 17(1): 47:1-47:12 (2017) - [c10]Danqing Hu, Zhengxing Huang, Tak-Ming Chan, Wei Dong, Xudong Lu, Huilong Duan:
Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score. MedInfo 2017: 398-402 - 2015
- [j23]Man Hon Wong, Ho-Yin Antonio Sze-To, Leung-Yau Peter Lo, Tak-Ming Cyrus Chan, Kwong-Sak Leung:
Discovering Binding Cores in Protein-DNA Binding Using Association Rule Mining with Statistical Measures. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 142-154 (2015) - 2014
- [j22]Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
The L1/2 regularization method for variable selection in the Cox model. Appl. Soft Comput. 14: 498-503 (2014) - [j21]Ka-Chun Wong, Chengbin Peng, Yue Li, Tak-Ming Chan:
Herd Clustering: A synergistic data clustering approach using collective intelligence. Appl. Soft Comput. 23: 61-75 (2014) - [j20]Henry C. W. Lau, George T. S. Ho, Tak-Ming Chan, W. T. Tsui:
An innovation approach for achieving cost optimization in supply chain management. J. Intell. Fuzzy Syst. 26(1): 173-192 (2014) - [j19]Xin-Ze Luan, Yong Liang, Cheng Liu, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
A novel L1/2 regularization shooting method for Cox's proportional hazards model. Soft Comput. 18(1): 143-152 (2014) - 2013
- [j18]Yong Liang, Cheng Liu, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification. BMC Bioinform. 14: 198 (2013) - [j17]Tak-Ming Chan, Leung-Yau Lo, Ho-Yin Sze-To, Kwong-Sak Leung, Xinshu Xiao, Man Hon Wong:
Modeling Associated Protein-DNA Pattern Discovery with Unified Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 10(3): 696-707 (2013) - [c9]Tak-Ming Chan, Leung-Yau Lo, Man-Leung Wong, Yong Liang, Kwong-Sak Leung:
Genetic algorithm for dimer-led and error-restricted spaced motif discovery. CIBCB 2013: 198-205 - 2012
- [j16]Hing Kai Chan, Sai Ho Chung, Tak-Ming Chan:
Combining genetic approach and integer programming to solve multi-facility economic lot-scheduling problem. J. Intell. Manuf. 23(6): 2397-2405 (2012) - [j15]Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
Memetic Algorithms for De Novo Motif Discovery. IEEE Trans. Evol. Comput. 16(5): 730-748 (2012) - [c8]Po-Yuen Wong, Tak-Ming Chan, Man Hon Wong, Kwong-Sak Leung:
Efficient Algorithm for Mining Correlated Protein-DNA Binding Cores. DASFAA (1) 2012: 470-481 - [c7]Po-Yuen Wong, Tak-Ming Chan, Man Hon Wong, Kwong-Sak Leung:
Predicting Approximate Protein-DNA Binding Cores Using Association Rule Mining. ICDE 2012: 965-976 - [c6]Cheng Liu, Yong Liang, Xin-Ze Luan, Kwong-Sak Leung, Tak-Ming Chan, Zongben Xu, Hai Zhang:
Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model. ICSI (2) 2012: 11-17 - [c5]Xin-Ze Luan, Yong Liang, Cheng Liu, Zongben Xu, Hai Zhang, Kwong-Sak Leung, Tak-Ming Chan:
Regularization Path for Linear Model via Net Method. ICSI (2) 2012: 414-421 - 2011
- [j14]Tak-Ming Chan, Ka-Chun Wong, Kin-Hong Lee, Man Hon Wong, Chi-Kong Lau, Stephen Kwok-Wing Tsui, Kwong-Sak Leung:
Discovering approximate-associated sequence patterns for protein-DNA interactions. Bioinform. 27(4): 471-478 (2011) - 2010
- [b1]Tak-Ming Chan:
Pattern discovery for deciphering gene regulation based on evolutionary computation. Chinese University of Hong Kong, Hong Kong, 2010 - [j13]Gang Li, Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
A Cluster Refinement Algorithm for Motif Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 7(4): 654-668 (2010) - [c4]Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee, Pietro Liò:
Generic spaced DNA motif discovery using Genetic Algorithm. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c3]Leung-Yau Lo, Tak-Ming Chan, Kin-Hong Lee, Kwong-Sak Leung:
Challenges rising from learning motif evaluation functions using genetic programming. GECCO 2010: 171-178
2000 – 2009
- 2009
- [j12]Tak-Ming Chan, Gang Li, Kwong-Sak Leung, Kin-Hong Lee:
Discovering multiple realistic TFBS motifs based on a generalized model. BMC Bioinform. 10: 321 (2009) - [j11]Tak-Ming Chan, Junping Zhang, Jian Pu, Hua Huang:
Neighbor embedding based super-resolution algorithm through edge detection and feature selection. Pattern Recognit. Lett. 30(5): 494-502 (2009) - 2008
- [j10]Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
TFBS identification based on genetic algorithm with combined representations and adaptive post-processing. Bioinform. 24(3): 341-349 (2008) - [j9]George T. S. Ho, Henry C. W. Lau, Sai Ho Chung, Richard Y. K. Fung, Tak-Ming Chan, Carman K. M. Lee:
Fuzzy rule sets for enhancing performance in a supply chain network. Ind. Manag. Data Syst. 108(7): 947-972 (2008) - [j8]Tak-Ming Chan, Kim-Fung Man, Kit-Sang Tang, Sam Kwong:
A Jumping Gene Paradigm for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 12(2): 143-159 (2008) - [c2]Gang Li, Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
An Estimation of Distribution Algorithm for Motif Discovery. IEEE Congress on Evolutionary Computation 2008: 2411-2418 - 2007
- [j7]Tak-Ming Chan, Kim-Fung Man, Kit-Sang Tang, Sam Kwong:
A Jumping-Genes Paradigm for Optimizing Factory WLAN Network. IEEE Trans. Ind. Informatics 3(1): 33-43 (2007) - [c1]Tak-Ming Chan, Kwong-Sak Leung, Kin-Hong Lee:
TFBS identification by position- and consensus-led genetic algorithm with local filtering. GECCO 2007: 377-384 - 2005
- [j6]Tak-Ming Chan, Sam Kwong, Kim-Fung Man:
Resource Management In Wideband CDMA Systems Using Genetic Algorithms. Appl. Artif. Intell. 19(1): 1-41 (2005) - [j5]Tak-Ming Chan, Kim-Fung Man, Kit-Sang Tang, Sam Kwong:
A Jumping Gene Algorithm for Multiobjective Resource Management in Wideband CDMA Systems. Comput. J. 48(6): 749-768 (2005) - 2003
- [j4]Tak-Ming Chan, Sam Kwong, Kim-Fung Man:
Solving the Converter Placement Problem in WDM Ring Networks using Genetic Algorithms. Comput. J. 46(4): 427-448 (2003) - 2002
- [j3]Sam Kwong, Tak-Ming Chan, Kim-Fung Man, H. W. Chong:
The use of multiple objective genetic algorithm in self-healing network. Appl. Soft Comput. 2(2): 104-128 (2002) - [j2]Sam Kwong, Qianhua He, K. W. Ku, Tak-Ming Chan, Kim-Fung Man, Kit-Sang Tang:
A genetic classification error method for speech recognition. Signal Process. 82(5): 737-748 (2002) - [j1]Tak-Ming Chan, Sam Kwong, Kim-Fung Man, Kit-Sang Tang:
Hard handoff minimization using genetic algorithms. Signal Process. 82(8): 1047-1058 (2002)
Coauthor Index
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