The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach
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Citations
Cites
Machine learning as an experimental science
Langley, P. (1988) · Machine Learning · doi:10.1007/bf00115008 · Cited by 187
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Rainio, O., Teuho, J., & Klén, R. (2024) · Scientific Reports · doi:10.1038/s41598-024-56706-x · Cited by 1,338
Robust classification for imprecise environments
Provost, F., & Fawcett, T. (2001) · Machine Learning · doi:10.1023/a:1007601015854 · Cited by 1,250
Dau, H. A., Bagnall, A., Kamgar, K., Yeh, C.-C. M., Zhu, Y., Gharghabi, S., Ratanamahatana, C. A., & Keogh, E. (2019) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2019.1911747 · Cited by 1,128
Classifier Technology and the Illusion of Progress
Hand, D. J. (2006) · Statistical Science · doi:10.1214/088342306000000060 · Cited by 723
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Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
Ye, L., & Keogh, E. (2011) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-010-0179-5 · Cited by 406
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
García, S., Luengo, J., & Herrera, F. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.006 · Cited by 310
Decision tree classifiers for automated medical diagnosis
Azar, A. T., & El-Metwally, S. M. (2013) · Neural Computing and Applications · doi:10.1007/s00521-012-1196-7 · Cited by 242
A systematic comparison of supervised classifiers
Amancio, D. R., Comin, C. H., Casanova, D., Travieso, G., Bruno, O. M., Rodrigues, F. A., & da Fontoura Costa, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094137 · Cited by 225
ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images
de Vos, B. D., Wolterink, J. M., de Jong, P. A., Leiner, T., Viergever, M. A., & Isgum, I. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2673121 · Cited by 133
Combining support vector machine with genetic algorithm to classify ultrasound breast tumor images
Wu, W.-J., Lin, S.-W., & Moon, W. K. (2012) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2012.07.004 · Cited by 99
Protecting against evaluation overfitting in empirical reinforcement learning
Whiteson, S., Tanner, B., Taylor, M. E., & Stone, P. (2011) · 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) · doi:10.1109/adprl.2011.5967363 · Cited by 86
Detecting child grooming behaviour patterns on social media
Cano, A. E., Fernandez, M., & Alani, H. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-13734-6_30 · Cited by 79
Dong, T. N., Brogden, G., Gerold, G., & Khosla, M. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04484-y · Cited by 39
Teuho, J., Schultz, J., Klén, R., Juarez-Orozco, L. E., Knuuti, J., Saraste, A., Ono, N., & Kanaya, S. (2024) · Journal of Nuclear Cardiology · doi:10.1016/j.nuclcard.2024.101889 · Cited by 7
Detection of articulation disorders using Empirical Mode Decomposition and neural networks
Georgoulas, G., Georgopoulos, V. C., Stylios, G. D., & Stylios, C. D. (2009) · 2009 International Joint Conference on Neural Networks · doi:10.1109/ijcnn.2009.5178935 · Cited by 3
Metadata
- Authors
- Salzberg, S. L.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 1997-09
- Volume
- 1
- Issue
- 3
- Pages
- 317-328
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2112865076
- Cited by
- 827
- References
- 1
- FWCI
- 14.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
