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Non-invasive Procedure to Probe the Route Choices of Commuters in Rail Transit Systems.

, , , , and . ICCS, volume 80 of Procedia Computer Science, page 2387-2391. Elsevier, (2016)

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Non-invasive Procedure to Probe the Route Choices of Commuters in Rail Transit Systems., , , , and . ICCS, volume 80 of Procedia Computer Science, page 2387-2391. Elsevier, (2016)Interpretable classification model for automotive material fatigue.. University of Southampton, UK, (2002)British Library, EThOS.sparse Bayesian promoter based gene classification., , and . ESANN, page 527-532. (2005)Rainfall intensity prediction by a spatial-temporal ensemble., , , , , and . IJCNN, page 1721-1727. IEEE, (2008)Collaborative analytics for predicting expressway-traffic congestion., , , , , , , , and . ICEC, page 35-38. ACM, (2012)Collaborative Analytics with Genetic Programming for Workflow Recommendation., , , , and . SMC, page 657-662. IEEE, (2013)Non-invasive Procedure to Probe the Route Choices of Commuters in Rail Transit Systems., , , , and . ICCS, volume 80 of Procedia Computer Science, page 2387-2391. Elsevier, (2016)Temporal factors in school closure policy for mitigating the spread of influenza, , , , , , , , , and . Journal of Public Health Policy, (May 2011)Layman Analytics System: A Cloud-Enabled System for Data Analytics Workflow Recommendation., , , , , , , , and . IEEE Trans Autom. Sci. Eng., 14 (1): 160-170 (2017)Smart Robust Feature Selection (SoFt) for imbalanced and heterogeneous data., , , , , and . Knowl. Based Syst., (2022)