Search Results - "Skurichina, M"

k-nearest neighbors directed noise injection in multilayer perceptron training by Skurichina, M., Raudys, S., Duin, R.P.W.

“…The relation between classifier complexity and learning set size is very important in discriminant analysis. One of the ways to overcome the complexity control…”
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Autofluorescence and Raman microspectroscopy of tissue sections of oral lesions by de Veld, D C G, Bakker Schut, T C, Skurichina, M, Witjes, M J H, Van der Wal, J E, Roodenburg, J L N, Sterenborg, H J C M

“…Autofluorescence spectroscopy and Raman spectroscopy have been suggested for lesion diagnostics. We investigate the information contained in autofluorescence…”
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Bagging, Boosting and the Random Subspace Method for Linear Classifiers by Skurichina, Marina, Duin, Robert P. W.

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An experimental study on diversity for bagging and boosting with linear classifiers by Kuncheva, L.I., Skurichina, M., Duin, R.P.W.

“…In classifier combination, it is believed that diverse ensembles have a better potential for improvement on the accuracy than non-diverse ensembles. We put…”
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Autofluorescence and diffuse reflectance spectroscopy for oral oncology by de Veld, Diana C.G., Skurichina, Marina, Witjes, Max J.H., Duin, Robert P.W., Sterenborg, Henricus J.C.M., Roodenburg, Jan L.N.

“…Background and Objectives Autofluorescence and diffuse reflectance spectroscopy have been used separately and combined for tissue diagnostics. Previously, we…”
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Bagging for linear classifiers by Skurichina, Marina, Duin, Robert P.W.

“…Classifiers built on small training sets are usually biased or unstable. Different techniques exist to construct more stable classifiers. It is not clear which…”
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Optical spectroscopy for the classification of malignant lesions of the bronchial tree by Bard, Martin P L, Amelink, Arjen, Skurichina, Marina, Noordhoek Hegt, Vincent, Duin, Robert P W, Sterenborg, Henricus J C M, Hoogsteden, Henk C, Aerts, Joachim G J V

“…Optical spectroscopy may be used for in vivo, noninvasive distinction of malignant from normal tissue. The aim of our study was to analyze the accuracy of…”
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Clinical study for classification of benign, dysplastic, and malignant oral lesions using autofluorescence spectroscopy by de Veld, Diana C G, Skurichina, Marina, Witjes, Max J H, Duin, Robert P W, Sterenborg, Henricus J C M, Roodenburg, Jan L N

“…Autofluorescence spectroscopy shows promising results for detection and staging of oral (pre-)malignancies. To improve staging reliability, we develop and…”
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Autofluorescence characteristics of healthy oral mucosa at different anatomical sites by de Veld, Diana C.G., Skurichina, Marina, Witjes, Max J.H., Duin, Robert P.W., Sterenborg, Dick J.C.M., Star, Willem M., Roodenburg, Jan L.N.

“…Background and Objectives Autofluorescence spectroscopy is a promising tool for oral cancer detection. Its reliability might be improved by using a reference…”
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Stabilizing classifiers for very small sample sizes by Skurichina, M., Duin, R.P.W.

“…In this paper the possibilities for constructing linear classifiers are considered for very small sample sizes. We propose a stability measure and present a…”
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PD.121 Autofluorescence spectroscopy for classification of oral lesions by Wities, M.J.H., de Veld, D.C.G., Skurichina, M., Duin, R.P.W., Sterenborg, H.C.C.M., Roodenburg, J.L.N.

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Regularisation of Linear Classifiers by Adding Redundant Features by Skurichina, Marina, Duin, Robert P. W.

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The role of subclasses in machine diagnostics by Skurichina, M., Ypma, A., Duin, R.P.W.

“…In machine diagnostics it is difficult to collect for learning all possible operating modes of machine functioning. Some of the operating modes are often…”
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