Author:
Zewdie Gebreab K.,Lary David J.,Liu Xun,Wu Daji,Levetin Estelle
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Reference31 articles.
1. Arizmendi, C., Sanchez, J., Ramos, N., Ramos, G. (1993). Time series predictions with neural nets: application to airborne pollen forecasting. International Journal of Biometeorology, 37(3), 139–144.
2. Biau, G., Devroye, L., Lugosi, G. (2008). Consistency of random forests and other averaging classifiers. Journal of Machine Learning Research, 9, 2015–2033.
3. Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5–32.
4. Csépe, Z., Makra, L., Voukantsis, D., Matyasovszky, I., Tusnády, G., Karatzas, K., Thibaudon, M. (2014). Predicting daily ragweed pollen concentrations using Computational Intelligence techniques over two heavily polluted areas in Europe. Science of the Total Environment, 476, 542–552.
5. D’Amato, G., & Spieksma, F.T.M. (1991). Allergenic pollen in Europe. Grana, 30(1), 67–70.
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献