Department of Applied Data Science
Results 1-20 of 27
| Issue Date | Title | Author(s) | Type | |
|---|---|---|---|---|
| 1 | 2003 | Adaptive elitist-population based genetic algorithm for multimodal function optimization | Prof. LEUNG Kwong Sak ; Liang, Yong | Conference Paper |
| 2 | 2013 | Adaptive L1/2 shooting regularization method for survival analysis using gene expression data Open Access | Liu, Xiao-Ying ; Liang, Yong ; Xu, Zong-Ben ; Zhang, Hai ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 3 | 2006 | Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation | Liang, Yong ; Prof. LEUNG Kwong Sak ; Mok, Tony Shu Kam | Conference Paper |
| 4 | 2016 | Cancer survival analysis using semi-supervised learning method based on Cox and AFT models with L1/2 regularization | Liang, Yong ; Chai, Hua ; Liu, Xiao-Ying ; Xu, Zong-Ben ; Zhang, Hai ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 5 | 2003 | Efficiency speed-up strategies for evolutionary computation: Fundamentals and fast-GAs | Xu, Zong-Ben ; Prof. LEUNG Kwong Sak ; Liang, Yong ; Leung, Yee | Peer Reviewed Journal Article |
| 6 | 2004 | Evolution strategies with a fourier series auxiliary function for difficult function optimization | Prof. LEUNG Kwong Sak ; Liang, Yong | Conference Paper |
| 7 | 2006 | Evolution strategies with exclusion-based selection operators and a Fourier series auxiliary function | Liang, Yong ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 8 | 2004 | Evolutionary drug scheduling model for cancer chemotherapy | Liang, Yong ; Prof. LEUNG Kwong Sak ; Mok, Tony Shu Kam | Conference Paper |
| 9 | 2008 | Evolutionary drug scheduling models with different toxicity metabolism in cancer chemotherapy | Liang, Yong ; Prof. LEUNG Kwong Sak ; Mok, Tony Shu Kam | Peer Reviewed Journal Article |
| 10 | 2007 | Fast drug scheduling optimization approach for cancer chemotherapy | Liang, Yong ; Prof. LEUNG Kwong Sak ; Mok, Tony Shu Kam | Conference Paper |
| 11 | 2013 | Genetic algorithm for dimer-led and error-restricted spaced motif discovery | Chan, Tak-Ming ; Lo, Leung-Yau ; Wong, Man-Leung ; Liang, Yong ; Prof. LEUNG Kwong Sak | Peer Reviewed Journal Article |
| 12 | 2011 | Genetic Algorithm with adaptive elitist-population strategies for multimodal function optimization | Liang, Yong ; Prof. LEUNG Kwong Sak | Conference Paper |
| 13 | 2012 | A improve direct path seeking algorithm for L 1/2 regularization, with application to biological feature selection | Liu, Cheng ; Liang, Yong ; Luan, Xin-Ze ; Prof. LEUNG Kwong Sak ; Chan, Tak-Ming ; Xu, Zong-Ben ; Zhang, Hai | Conference Proceedings |
| 14 | 2012 | Iterative L1/2 regularization algorithm for variable selection in the Cox proportional hazards model | Liu, Cheng ; Liang, Yong ; Luan, Xin-Ze ; Prof. LEUNG Kwong Sak ; Chan, Tak-Ming ; Xu, Zong-Ben ; Zhang, Hai | Conference Paper |
| 15 | 2014 | The L1/2 regularization method for variable selection in the Cox model | Liu, Cheng ; Liang, Yong ; Luan, Xin-Ze ; Prof. LEUNG Kwong Sak ; Chan, Tak-Ming ; Xu, Zong-Ben ; Zhang, Hai | Peer Reviewed Journal Article |
| 16 | 2007 | A memetic algorithm for multiple-drug cancer chemotherapy schedule optimization | Tse, Sui-Man ; Liang, Yong ; Prof. LEUNG Kwong Sak ; Lee, Kin-Hong ; Mok, Tony Shu-Kam | Peer Reviewed Journal Article |
| 17 | 2005 | Multi-drug cancer chemotherapy scheduling by a new memetic optimization algorithm | Tse, Sui-Man ; Liang, Yong ; Prof. LEUNG Kwong Sak ; Lee, Kin-Hong ; Mok, Shu-Kam Tony | Conference Paper |
| 18 | 2007 | Neural Network training using genetic algorithm with a novel binary encoding | Liang, Yong ; Prof. LEUNG Kwong Sak ; Xu, Zong-Ben | Conference Paper |
| 19 | 2006 | A novel binary variable representation for genetic and evolutionary algorithms | Liang, Yong ; Prof. LEUNG Kwong Sak ; Lee, Kin-Hong | Conference Paper |
| 20 | 2006 | A novel evolutionary drug scheduling model in cancer chemotherapy | Liang, Yong ; Prof. LEUNG Kwong Sak ; Mok, Tony Shu Kam | Peer Reviewed Journal Article |