Browsing by Author Li, M

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Issue DateTitleAuthor(s)
2016High-performance predictor for critical unstable generators based on scalable parallelized neural networksLiu, Y; Liu, Y; Liu, J; Li, M; Ma, Z, et al
2003Leveraging legacy codes to distributed problem solving environments: A web service approachLi, M; Walker, D; Rana, O; Huang, Y; Williams, P, et al
2016A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power SystemsLiu, Y; Liu, J; Li, M; Liu, T; Taylor, G, et al
2015A MapReduce-based parallel K-means clustering for large-scale CIM data verificationDeng, C; Liu, Y; Xu, L; Yang, J; Liu, J, et al
2013MapReduce based RDF assisted distributed SVM for high throughput spam filteringLi, M; Caruana, Godwin
2011MapReduce network enabled algorithms for classification based on association rulesLi, M; Hammoud, Suhel
2017Multi-Line distance minimization: A visualized many-objective test problem suiteLi, M; Grosan, C; Yang, S; Liu, X; Yao, X
2016Multi-objective optimisation for regression testingZheng, W; Hierons, RM; Li, M; Liu, X; Vinciotti, V
2013Multithreading for high performance finance risk analysisLi, M; Zhao, Y; Liu, Z; Wei, Wenqian
2013An ontology enhanced parallel SVM for scalable spam filter trainingCaruana, G; Li, M; Liu, Y
2016Optimizing hadoop parameter settings with gene expression programming guided PSOKhan, M; Huang, Z; Li, M; Taylor, GA; Khan, M
2015Parallel detrended fluctuation analysis for fast event detection on massive PMU dataKhan, M; Ashton, PM; Li, M; Taylor, GA; Pisica, I, et al
2016The Parallelization of Back Propagation Neural Network in MapReduce and SparkLiu, Y; Xu, L; Li, M
2016Parallelizing convolutional neural networks for action event recognition in surveillance videosWang, Q; Zhao, J; Gong, D; Shen, Y; Li, M, et al
2015Parallelizing k-means with hadoop/mahout for big data analyticsLi, M; Meng, H; Cui, Jianbin
2011Parallelizing support vector machines for scalable image annotationLi, M; Alham, Nasullah Khalid
2015Pareto or non-Pareto: Bi-criterion evolution in multi-objective optimizationLi, M; Yang, S; Liu, X; This work was supported in part by the Engineering and Physical Sciences Research Council (EPSRC) of U.K. under Grant EP/K001310/1, National Natural Science Foundation of China under Grant 71110107026 (Major International Joint Research Project) and Grant 61273031, and EPSRC Industrial Case under Grant 11220252.
2010Personal mobile grids with a honeybee inspired resource schedulerAl-Raweshidy, H; Li, M; Kurdi, Heba Abdullataif
2006PGGA: A predictable and grouped genetic algorithm for job schedulingLi, M; Yu, B; Qi, M
2011Probability-dependent gain-scheduled filtering for stochastic systems with missing measurementsWei, G; Wang, Z; Shen, B; Li, M