Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Dimensionality reduction of morphological features of tomato leaves and fruiting habits
S Kundu, A Hazra, K Deb, P Hazra. Cited by 8
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Combating Negative Transfer From Predictive Distribution Differences
CW Seah, YS Ong, IWH Tsang. Cited by 59
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Combination of fuzzy clustering algorithms for change detection in remote sensing images
NS Mishra, S Ghosh, AK Ghosh. Cited by 1
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Maximum margin clustering on evolutionary data
X Fan, L Zhu, L Cao, X Cui, YS Ong. Cited by 1
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Do ads compete or collaborate?
X Xin, I King, R Agrawal, MRT Lyu, H Huang. Cited by 1
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Heterogeneous ensemble approach with discriminative features and modified-SMOTEbagging for pre-miRNA classification
S Lertampaiporn, C Thammarongtham, C Nukoolkit, B Kaewkamnerdpong, M Ruengjitchatchawalya. Cited by 70
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A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle
P Padungweang, C Lursinsap, K Sunat. Cited by 27
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Discovering Support and Affiliated Features from Very High Dimensions
Y Zhai, M Tan, IWH Tsang, YS Ong. Cited by 28
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Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems
MN Le, YS Ong, S Menzel, CW Seah, B Sendhoff. Cited by 17
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QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization
SD Handoko, X Ouyang, CTT Su, CK Kwoh, YS Ong. Cited by 75
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Human gesture recognition using Kinect camera
O Patsadu, C Nukoolkit, B Watanapa. Cited by 220
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Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images
NS Mishra, S Ghosh, AK Ghosh. Cited by 81