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S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with fuzzy kNN for hyperspectral satellite imagery”, in Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, 2000, pp. 702-704.
S. Yu, Scheunders, P., and De Backer, S., “Genetic Feature selection combined with composite fuzzy nearest neighbor classifers for high-dimensional remote sensing data”, in Proc. IEEE Intern. Conf. on Systems, Man & Cybernetics, October 8-11, Nashville,TN, 2000, pp. 1912-1916.
S. Yu, “Feature Selection and Classifier Ensembles: A Study on Hyperspectral Remote Sensing Data”, University of Antwerp, Antwerp, 2003.
S. Yu, De Backer, S., and Scheunders, P., “Genetic Feature Selection Combined with Fuzzy K-NN for Hyperspectral Satellite Imagery”, in Intelligent Techniques and Soft Computing in Nuclear Science and Engineering, 2000, pp. 281-288.
S. Yu and Scheunders, P., “Feature selection for high-dimensional remote sensing data by a maximum entropy principal based optimization”, in Proc. Geoscience and Remote Sensing Symposium, 2001, pp. 3303-3305.
S. Yu, De Backer, S., and Scheunders, P., “Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery”, Pattern Recognition Letters, vol. 23, pp. 183-190, 2002.
S. Yu and Scheunders, P., “Fuzzy markov chains approach to feature selection for high dimensional remote sensing data”, in Geoscience and Remote Sensing Symposium, 2001, pp. 3306-3308.
M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (2.37 MB)
M. Yosifov, Reiter, M., Heupl, S., Gusenbauer, C., Fröhler, B., R. Gutierrez, F. -, De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Probability of Detection applied to X-ray inspection using numerical simulations”, Nondestructive Testing and Evaluation, vol. 37, no. 5, pp. 536-551, 2022.
M. Yosifov, Lang, T., Florian, V., Gerth, S., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Degradation Detection in Rice Products via Shape Variations in XCT Simulation-Empowered AI”, Journal of Nondestructive Evaluation, vol. 44, no. 10, 2025.