Kwong-Sak Leung mainly focuses on Artificial intelligence, Data mining, Machine learning, Genetic algorithm and Fuzzy logic. His Artificial intelligence research incorporates themes from Gene chip analysis and Logistic regression. His biological study spans a wide range of topics, including Feature, Cluster analysis, Mixture model, Evolutionary computation and Genetic programming.
His Machine learning study deals with Docking intersecting with Protein structure. His Genetic algorithm research is multidisciplinary, relying on both Optimization problem, Bayesian network and Set. He has included themes like Legal expert system, Expert system and Model-based reasoning in his Fuzzy logic study.
His scientific interests lie mostly in Artificial intelligence, Data mining, Machine learning, Genetic algorithm and Mathematical optimization. His research on Artificial intelligence often connects related topics like Pattern recognition. His work carried out in the field of Data mining brings together such families of science as Fuzzy logic and Cluster analysis.
Kwong-Sak Leung has researched Fuzzy logic in several fields, including Legal expert system and Expert system. The Genetic algorithm study combines topics in areas such as Optimization problem, Set, Cancer chemotherapy and Benchmark. His research in Mathematical optimization intersects with topics in Algorithm, Regularization and Nonlinear system.
His primary areas of study are Artificial intelligence, Computational biology, Machine learning, Data mining and Gene. His Artificial intelligence study combines topics from a wide range of disciplines, such as Natural language processing and Pattern recognition. His studies in Computational biology integrate themes in fields like RNA, DNA sequencing and Cluster analysis.
His studies deal with areas such as Crowdsourcing, Scalability, Inference and Bioinformatics as well as Machine learning. His work deals with themes such as Protein dna, Normalization and Gene expression profiling, which intersect with Data mining. His work on Genetic representation as part of general Genetic programming study is frequently linked to Adaptive grammar, therefore connecting diverse disciplines of science.
The scientist’s investigation covers issues in Artificial intelligence, Computational biology, Machine learning, Data mining and Random forest. Kwong-Sak Leung usually deals with Artificial intelligence and limits it to topics linked to Pattern recognition and Drug discovery. His Computational biology research includes elements of RNA, Non-coding RNA, Gene and Web server.
His research investigates the connection with Non-coding RNA and areas like Virology which intersect with concerns in Genome. Kwong-Sak Leung combines subjects such as Data science, Complex system, Docking and Bioinformatics with his study of Machine learning. His Data mining study integrates concerns from other disciplines, such as Normalization, Preprocessor and Transcriptome, RNA-Seq.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Survey of Crowdsourcing Systems
Man-Ching Yuen;Irwin King;Kwong-Sak Leung.
privacy security risk and trust (2011)
Data Mining Using Grammar Based Genetic Programming and Applications
Man Leung Wong;Kwong Sak Leung.
Fuzzy concepts in expert systems
K.S. Leung;W. Lam.
IEEE Computer (1988)
A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems
Wei Ying Yi;Kin Ming Lo;Terrence Mak;Kwong Sak Leung.
Convergence analysis of cellular neural networks with unbounded delay
Zhang Yi;Pheng Ann Heng;Kwong Sak Leung.
IEEE Transactions on Circuits and Systems I-regular Papers (2001)
An expanding self-organizing neural network for the traveling salesman problem
Kwong-Sak Leung;Hui-Dong Jin;Zong-Ben Xu.
Using evolutionary programming and minimum description length principle for data mining of Bayesian networks
Man Leung Wong;Wai Lam;Kwong Sak Leung.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)
An efficient data mining method for learning Bayesian networks using an evolutionary algorithm-based hybrid approach
Man Leung Wong;Kwong Sak Leung.
IEEE Transactions on Evolutionary Computation (2004)
A genetic algorithm for determining nonadditive set functions in information fusion
Zhenyuan Wang;Kwong-sak Leung;Jia Wang.
Fuzzy Sets and Systems (1999)
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification
Yong Liang;Cheng Liu;Xin-Ze Luan;Kwong-Sak Leung.
BMC Bioinformatics (2013)
Profile was last updated on December 6th, 2021.
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