Biomedical spectral classification using stochastic feature selection and fuzzy aggregation

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Volumn , Issue , 2007, Pages 360-365

  Pizzi, N J ^a,b   Wiebe, C ^b   Pedrycz, W ^c  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

^b UNIVERSITY OF MANITOBA   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; FEATURE EXTRACTION; FUZZY LOGIC; MAGNETIC RESONANCE SPECTROSCOPY; SPECTRUM ANALYSIS; STOCHASTIC CONTROL SYSTEMS;

BIOMEDICAL SPECTRAL CLASSIFICATION; FUZZY AGGREGATION; MULTIPLE CLASSIFIERS; STOCHASTIC FEATURE SELECTION;

BIOMEDICAL ENGINEERING;

EID: 35148896817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2007.383865     Document Type: Conference Paper

References (23)

1. H. Friebolin, Basic One- and Two-Dimensional NMR Spectroscopy, 3rd Edition, New York: John Wiley & Sons, 1998.
2. nd Edition, Fort Worth: Harcourt Brace College Publishers, 1996.
3. 1H MR spectra of human brain neoplasms; The influence of preprocessing and computerized consensus diagnosis on classification accuracy," Journal of Magnetic Resonance Imaging, vol. 6, pp. 437-444, 1996.
4. R.L. Somorjai, M. Alexander, R. Baumgartner, S. Booth, C. Bowman, A. Demko, B. Dolenko, M. Mandelzweig, A.E. Nikulin, N. Pizzi, E. Pranckeviciene, R. Summers, P. Zhilkin, "A data-driven, flexible machine learning strategy for the classification of biomedical data," in Artificial Intelligence Methods and Tools for Systems Biology, W. Dubitzky and F. Azuaje, Eds. Dordrecht: Springer, 2004, pp. 67-85.
5. N.J. Pizzi, "Classification of biomedical spectra using stochastic feature selection," Neural Network World, vol. 15, 2005, pp. 257-268.
6. A.B. Demko, N.J. Pizzi, and R.L. Somorjai, "Scopira - A system for the analysis of biomedical data," Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, May 12-15, Winnipeg, Canada, pp. 1093-1098, 2002.
7. th ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications, October 16-20, San Diego, USA, pp. 138-139, 2005.
8. G.A.F. Seber, Multivariate Observations, Hoboken: Wiley and Sons, 1984.
9. N.J. Pizzi, R.L. Somorjai, W. Pedrycz, "Biomedical data classification using randomized feature selection and parallelized multi-layer perceptrons," Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems Conference, July 4-9, Perugia, Italy, pp. 1161-1166, 2004.
10. J. Moody and C.J. Darken, "Fast learning networks of locally-tuned processing units," Neural Computation, vol. 1, pp. 381-294, 1989.
11. S.M. Weiss and C.A. Kulikowski, Computer Systems that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems, San Mateo: Morgan Kaufmann Publ., 1991.
12. D. Specht, "Probabilistic neural networks for classification, mapping or associative memory," Proceedings of the IEEE International Conference on Neural Networks, New Jersey: IEEE Press, pp. 525-532, 1988.
13. R. L. Streit and T. E. Luginbuhl, "Maximum likelihood training of probabilistic neural networks," IEEE Transactions on Neural Networks, vol. 5, pp. 764-783, 1994
14. E. Parzen, "On estimation of a probability density function and mode," Annals of Mathematical Statistics, vol. 33, pp. 1065-1076, 1962.
15. D. F. Specht, "Probabilistic neural networks," Neural Networks, vol. 3, pp. 109-118, 1990
16. A. Sugeno, "Fuzzy measures and fuzzy integrals: A survey," In M.M. Gupta and E. Sanchez, editors, Fuzzy Automatic and Decision Processes, Amsterdam: North Holland, pp. 90-102, 1977.
17. G.J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information, Englewood Cliffs: Prentice Hall, 1988.
18. A. Sugeno, "Theory of fuzzy integral and its applications," PhD Thesis, Tokyo Institute of Technology, 1972.
19. M. Grabish, T. Murofushi, and M. Sugeno, "Fuzzy measure of fuzzy events defined by fuzzy integrals," Fuzzy Sets and Systems, vol. 50, pp. 293-313, 1992.
20. H. Tahani and J.M. Keller, "Information fusion in computer vision using the fuzzy integral," IEEE Transactions on Systems, Man, and Cybernetics, vol. 20, pp. 733-741, 1990.
21. Z. Chi, H. Yan, and T. Pham, Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition, New Jersey: World Scientific, 1996.
22. B.S. Everitt, Moments of the statistics kappa and weighted kappa. British Journal of Mathematical and Statistical Psychology, vol. 21, 1968, pp. 97-103.
23. J.L. Fleiss, Measuring agreement between judges on the presence or absence of a trait. Biometrics, vol. 31, 1975, 651-659.