Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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Replication Data for: RNA Alternative Splicing Prediction with Discrete Compositional Energy Network
A Chan, A Korsakova, YS Ong, FR Winnerdy, KW Lim, AT Phan
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Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human Expertise
MH Chung, M Chignell, L Wang, A Jovicic, A Raman. Cited by 19
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Cluster-Boosted Multi-Task Learning Framework for Survival Analysis
L Wang, M Chignell, H Jiang, N Charoenkitkarn. Cited by 6
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Data Mining Methods for Optimizing Feature Extraction and Model Selection
M Rouzbahman, A Jovicic, L Wang, L Zucherman, Z Abul-Basher, N Charoenkitkarn, M Chignell. Cited by 2
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Relevant Feature Selection for Predicting the Severity of Motorcycle Accident in Thailand
S Samerbut, P Padungweang, W Krathu. Cited by 1
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Relational Thematic Clustering with Mutually Preferred Neighbors
T He, L Bai, YS Ong
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Predicting Dihydroartemisinin Resistance in Plasmodium falciparum using Pathway Activity Inference
N Lawford, JH Chan
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Biomarker Identification in Colorectal Cancer Using Subnetwork Analysis with Feature Selection
JH Chan
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A Comparison of Destination Clustering using Density-based Algorithm on The Trip Planning Optimization for Last-Mile Parcel Delivery
I Prachitmutita, P Padungweang, O Rojanapornpun
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Neural networks based feature selection approaches for prognostics of aircraft engines
P Khumprom, N Yodo, D Grewell. Cited by 2
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Cluster validity index for big Data based on density discriminant analysis
T Weerapong, S Sathapornvajana, P Padungweang, W Krathu. Cited by 2
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BAND ELIMINATION FOR DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGES USING MUTUAL INFORMATION
A Dey, S Ghosh, A Ghosh. Cited by 6