The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Statistical downscaling of GCM simulations to streamflow using relevance vector machine
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Cites
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Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
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Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,674
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Information theory, inference, and learning algorithms
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The Nature of Statistical Learning Theory
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Information Theory, Inference, and Learning Algorithms
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Ghosh, M., & Berger, J. (1988) · Journal of the American Statistical Association · doi:10.2307/2288950 · Cited by 2,905
Cited by
BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease
Gaser, C., Franke, K., Klöppel, S., Koutsouleris, N., Sauer, H., & Initiative, A. D. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067346 · Cited by 538
Machine learning and artificial intelligence to aid climate change research and preparedness
Huntingford, C., Jeffers, E. S., Bonsall, M. B., Christensen, H. M., Lees, T., & Yang, H. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4e55 · Cited by 469
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
Monthly streamflow forecasting using Gaussian Process Regression
Sun, A. Y., Wang, D., & Xu, X. (2014) · Journal of Hydrology · doi:10.1016/j.jhydrol.2014.01.023 · Cited by 301
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
Ahmed, K., Sachindra, D. A., Shahid, S., Iqbal, Z., Nawaz, N., & Khan, N. (2020) · Atmospheric Research · doi:10.1016/j.atmosres.2019.104806 · Cited by 295
Metadata
- Authors
- Ghosh, S., & Mujumdar, P. P.
- Venue
- Advances in Water Resources
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 31
- Issue
- 1
- Pages
- 132-146
- ISSN
- 0309-1708 (ISSN-L)
- OpenAlex
- W2033186302
- Cited by
- 349
- References
- 37
- FWCI
- 11.19
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Ghosh, S., & Mujumdar, P. P. (2008). Statistical downscaling of GCM simulations to streamflow using relevance vector machine. Advances in Water Resources. https://doi.org/10.1016/j.advwatres.2007.07.005
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.
