The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
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Citations
Cites
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Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Least Squares Support Vector Machine Classifiers
Suykens, J. A. K., & Vandewalle, J. (1999) · Neural Processing Letters · doi:10.1023/a:1018628609742 · Cited by 9,362
Multivariate Adaptive Regression Splines
Friedman, J. H. (1991) · The Annals of Statistics · doi:10.1214/aos/1176347963 · Cited by 8,000
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A Pacific Interdecadal Climate Oscillation with Impacts on Salmon Production
Mantua, N. J., Hare, S. R., Zhang, Y., Wallace, J. M., & Francis, R. C. (1997) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1997)078<1069:apicow>2.0.co;2 · Cited by 7,099
The wavelet transform, time-frequency localization and signal analysis
Daubechies, I. (1990) · IEEE Transactions on Information Theory · doi:10.1109/18.57199 · Cited by 6,483
Cited by
Statistical downscaling of precipitation using machine learning techniques
Sachindra, D. A., Ahmed, K., Rashid, M. M., Shahid, S., & Perera, B. J. C. (2018) · Atmospheric Research · doi:10.1016/j.atmosres.2018.05.022 · Cited by 373
Predicting Standardized Streamflow index for hydrological drought using machine learning models
Shamshirband, S., Hashemi, S., Salimi, H., Samadianfard, S., Asadi, E., Shadkani, S., Kargar, K., Mosavi, A., Nabipour, N., & Chau, K.-W. (2020) · Engineering Applications of Computational Fluid Mechanics · doi:10.1080/19942060.2020.1715844 · Cited by 292
Interpretable and explainable AI (XAI) model for spatial drought prediction
Dikshit, A., & Pradhan, B. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149797 · Cited by 272
Pour, S. H., Shahid, S., Chung, E.-S., & Wang, X.-J. (2018) · Atmospheric Research · doi:10.1016/j.atmosres.2018.06.006 · Cited by 183
Nasim, W., Amin, A., Fahad, S., Awais, M., Khan, N., Mubeen, M., Wahid, A., Rehman, M. H., Ihsan, M. Z., Ahmad, S., et al. (2018) · Atmospheric Research · doi:10.1016/j.atmosres.2018.01.009 · Cited by 128
Metadata
- Authors
- Deo, R. C., Kisi, O., & Singh, V. P.
- Venue
- Atmospheric Research
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 184
- Pages
- 149-175
- ISSN
- 0169-8095 (ISSN-L)
- OpenAlex
- W2536008880
- Cited by
- 299
- References
- 105
- FWCI
- 20.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model. https://app.cochat.ai/papers/10.1016/j.atmosres.2016.10.004
- The paper
- Deo, R. C., Kisi, O., & Singh, V. P. (2017). Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model. Atmospheric Research. https://doi.org/10.1016/j.atmosres.2016.10.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
