DOI: 10.1016/j.neunet.2007.12.012. Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers

Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers

10.1016/j.neunet.2007.12.012

Crossref journal-article

Elsevier BV

Neural Networks (78)

Bibliography

Sahiner, B., Chan, H.-P., & Hadjiiski, L. (2008). Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. Neural Networks, 21(2â3), 476â483.

Authors 3

Berkman Sahiner (first)
Heang-Ping Chan (additional)
Lubomir Hadjiiski (additional)

References 9 Referenced 21

10.1118/1.598805 / Medical Physics / Classifier design for computer-aided diagnosis: Effects of finite sample size on the mean performance of classical and neural network classifiers by Chan (1999)
10.1080/01621459.1983.10477973 / Journal of the American Statistical Association / Estimating the error rate of a prediction rule: Improvement on cross-validation by Efron (1983)
{'key': '10.1016/j.neunet.2007.12.012_b3', 'first-page': '548', 'article-title': 'Improvements on cross-validation: The.632+ bootstrap method', 'volume': '92', 'author': 'Efron', 'year': '1997', 'journal-title': 'Journal of the American Statistical Association'} / Journal of the American Statistical Association / Improvements on cross-validation: The.632+ bootstrap method by Efron (1997)
{'key': '10.1016/j.neunet.2007.12.012_b4', 'series-title': 'Introduction to statistical pattern recognition', 'author': 'Fukunaga', 'year': '1990'} / Introduction to statistical pattern recognition by Fukunaga (1990)
10.1109/34.31448 / IEEE Transactions on Pattern Analysis and Machine Intelligence / Effects of sample size on classifier design by Fukunaga (1989)
10.1002/(SICI)1097-0258(19980515)17:9<1033::AID-SIM784>3.0.CO;2-Z / Statistics in Medicine / Maximum-likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data by Metz (1998)
Sahiner, B., Chan, H.P., & Hadjiiski, L. 2007. Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers. In Proc. 2007 international joint conference on neural networks (pp. 1762–1766) (10.1109/IJCNN.2007.4371224)
Sahiner, B., Chan, H.P., Petrick, N., Hadjiiski, L.M., Paquerault, S., & Gurcan, M.N. 2001. Resampling schemes for estimating the accuracy of a classifier designed with a limited data set. In Medical image perception conference, vol. IX, Warrenton, VA. Airlie Conference Center
Yousef, W.A., Wagner, R.F., & Loew, M.H. 2004. Comparison of non-parametric methods for assessing classifier performance in terms of ROC parameters. In Applied imagery pattern recognition workshop, 33rd (pp. 190–195). IEEE Computer Society (10.1109/AIPR.2004.18)

Dates

Type	When
Created	17 years, 8 months ago (Dec. 18, 2007, 2:34 p.m.)
Deposited	6 years, 7 months ago (Jan. 1, 2019, 10:51 p.m.)
Indexed	1 month, 1 week ago (July 24, 2025, 7:43 a.m.)
Issued	17 years, 5 months ago (March 1, 2008)
Published	17 years, 5 months ago (March 1, 2008)
Published Print	17 years, 5 months ago (March 1, 2008)

Funders 0

None

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