The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Earthquake magnitude prediction in Hindukush region using machine learning techniques
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
Neural networks for pattern recognition
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Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Speech recognition with deep recurrent neural networks
Graves, A., Mohamed, A.-R., & Hinton, G. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6638947 · Cited by 8,893
The Strength of Weak Learnability
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The Centenary of the Omori Formula for a Decay Law of Aftershock Activity.
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The elements of statistical learning: Data mining, inference, and prediction
Franklin, J. (2005) · The Mathematical Intelligencer · doi:10.1007/bf02985802 · Cited by 1,400
Earthquakes Cannot Be Predicted
Geller, R. J., Jackson, D. D., Kagan, Y. Y., & Mulargia, F. (1997) · Science · doi:10.1126/science.275.5306.1616 · Cited by 815
Franklin, J. S. (2005) · The Mathematical Intelligencer · Cited by 392
Cited by
Tyralis, H., Papacharalampous, G., & Langousis, A. (2019) · Water · doi:10.3390/w11050910 · Cited by 771
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Tapeh, A. T. G., & Naser, M. Z. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09793-w · Cited by 320
Machine Learning in Disaster Management: Recent Developments in Methods and Applications
Linardos, V., Drakaki, M., Tzionas, P., & Karnavas, Y. (2022) · Machine Learning and Knowledge Extraction · doi:10.3390/make4020020 · Cited by 319
Metadata
- Authors
- Asim, K. M., Martínez-Álvarez, F., Basit, A., & Iqbal, T.
- Venue
- Natural Hazards
- Published
- 2016-09-08
- Volume
- 85
- Issue
- 1
- Pages
- 471-486
- ISSN
- 0921-030X (ISSN-L)
- 1573-0840
- OpenAlex
- W2510282576
- Cited by
- 256
- References
- 25
- FWCI
- 10.51
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Earthquake magnitude prediction in Hindukush region using machine learning techniques. https://app.cochat.ai/papers/10.1007/s11069-016-2579-3
- The paper
- Asim, K. M., Martínez-Álvarez, F., Basit, A., & Iqbal, T. (2017). Earthquake magnitude prediction in Hindukush region using machine learning techniques. Natural Hazards. https://doi.org/10.1007/s11069-016-2579-3
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.
