Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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A linear discriminant analysis using weighted local structure information
R Ketsuwan, P Padungweang. Cited by 3
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An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error
H Liu, J Cai, YS Ong. Cited by 131
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Fusion-based hybrid many-objective optimization algorithm
A Ibrahim, MV MartÃn, S Rahnamayan, K Deb. Cited by 4
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Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms
V Ravi, D Pradeepkumar, K Deb. Cited by 133
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Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction
R Chandra, YS Ong, CK Goh. Cited by 82
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CBRAP: Contextual Bandits with RAndom Projection
X Yu, MRT Lyu, I King. Cited by 13
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Online Nonlinear AUC Maximization for Imbalanced Data Sets
J Hu, H Yang, MRT Lyu, I King, AM So. Cited by 57
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Unsupervised band extraction for hyperspectral images using clustering and kernel principal component analysis
A Datta, S Ghosh, AK Ghosh. Cited by 33
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A Video Quality Prediction Model for the Elderly
D Pal, V Vanijja
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A No-Reference Modular Video Quality Prediction Model for H.265/HEVC and VP9 Codecs on a Mobile Device
D Pal, V Vanijja. Cited by 17
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Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization
P Subba, S Ghosh, R Roy. Cited by 3
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ICA-DEODA: An independent feature extraction model for stock index forecasting
A Wijitcharoen, B Watanapa, P Padungweang, W Anantasabkit. Cited by 2