Evaluating Automated Machine Learning on Supervised Regression Traffic Forecasting Problems
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-34409-2_11
Reference37 articles.
1. Angarita-Zapata, J.S., Triguero, I., Masegosa, A.D.: A preliminary study on automatic algorithm selection for short-term traffic forecasting. In: Del Ser J., Osaba E., Bilbao M.N., Sanchez-Medina J.J., Vecchio M., Yang X.S. (eds.) Intelligent Distributed Computing XII, pp. 204–214. Springer, Berlin (2018)
2. Angarita-Zapata, J.S., Masegosa, A.D., Triguero, I.: A taxonomy of traffic forecasting regression problems from a supervised learning perspective. IEEE Access, 1–1 (2019). https://doi.org/10.1109/ACCESS.2019.2917228
3. Charte, D., Charte, F., García, S., Herrera, F.: A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. In: Progress in Artificial Intelligence, pp. 1–14. Springer, Berlin (2018)
4. Chen, J.F., Lo, S.K., Do, Q.H.: Forecasting short-term traffic flow by fuzzy wavelet neural network with parameters optimized by biogeography-based optimization algorithm. In: Computational Intelligence and Neuroscience, pp. 1–13 (2018)
5. Chen, W., An, J., Li, R., Fu, L., Xie, G., Bhuiyan, M.Z.A., Li, K.: A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial-temporal data features. Futur. Gener. Comput. Syst. 89, 78–88 (2018)
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