Publications

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2010
Salama, M. A., A. E. Hassanien, and A. A. Fahmy, "Uni-class pattern-based classification model", Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on: IEEE, pp. 1293–1297, 2010. Abstract
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2009
Kudelka, M., V. Snásel, Z. Horak, and A. E. Hassanien, "From Web Pages to Web Communities", Annual International Workshop on DAtabases, TExts, Specifications and Objects, Spindleruv Mlyn, Czech Republic , April 15-17, 2009. Abstract

In this paper we are looking for a relationship between the intent of Web pages, their architecture and the communities who take part in their usage and creation. From our point of view, the Web page is entity carrying information about these communities and this paper describes techniques, which can be used to extract mentioned information as well as tools usable in analysis of these information. Information about communities could be used in several ways thanks to our approach. Finally we present an experiment which illustrates the benefits of our approach.

AboulElla, H., A. Abraham, J. F. Peters, and G. Schaefer, "Rough Sets in Medical Informatics Applications", Applications of Soft Computing - Advances in Intelligent and Soft Computing, pp 23-30, Berlin , Springer Berlin Heidelberg (ISSN: 978-3-540-89618-0), 2009. Abstract

Rough sets offer an effective approach of managing uncertainties and can be employed for tasks such as data dependency analysis, feature identification, dimensionality reduction, and pattern classification. As these tasks are common in many medical applications it is only natural that rough sets, despite their relative ‘youth’ compared to other techniques, provide a suitable method in such applications. In this paper, we provide a short summary on the use of rough sets in the medical informatics domain, focussing on applications of medical image segmentation, pattern classification and computer assisted medical decision making.

Smolinski, T. G., M. G. Milanova, and A. - E. Hassanien, Computational Intelligence in Biomedicine and Bioinformatics: Current trends and applications, : Springer, 2009. Abstract
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Smolinski, T. G., M. G. Milanova, and A. - E. Hassanien, Computational Intelligence in Biomedicine and Bioinformatics: Current trends and applications, : Springer, 2009. Abstract
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Schaefer, G., A. Hassanien, and J. Jiang, Computational Intelligence in Medical Imaging: Techniques and Applications, : CRC press, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Computational social network analysis: Trends, tools and research advances, : Springer Science & Business Media, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Computational social network analysis: Trends, tools and research advances, : Springer Science & Business Media, 2009. Abstract
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Abraham, A., A. - E. Hassanien, P. Siarry, and A. Engelbrecht, Foundations of Computational Intelligence Volume 3: Global Optimization, : Springer, 2009. Abstract
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Abraham, A., A. - E. Hassanien, P. Siarry, and A. Engelbrecht, Foundations of Computational Intelligence Volume 3: Global Optimization, : Springer, 2009. Abstract
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Abraham, A., A. - E. Hassanien, P. Siarry, and A. Engelbrecht, Foundations of Computational Intelligence Volume 3: Global Optimization, : Springer, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Foundations of Computational Intelligence Volume 5: Function Approximation and Classification, : Springer Science & Business Media, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Foundations of Computational Intelligence Volume 5: Function Approximation and Classification, : Springer Science & Business Media, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Foundations of Computational Intelligence: Volume 6: Data Mining, : Springer, 2009. Abstract
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Abraham, A., A. - E. Hassanien, V. Sná, and others, Foundations of Computational Intelligence: Volume 6: Data Mining, : Springer, 2009. Abstract
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Kudelka, M., V. Snásel, Z. Horák, and A. E. Hassanien, "From Web Pages to Web Communities.", DATESO, pp. 13–22, 2009. Abstract
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Kudelka, M., V. Snásel, Z. Horák, and A. E. Hassanien, "From Web Pages to Web Communities.", DATESO, pp. 13–22, 2009. Abstract
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Noman, S., S. M. Shamsuddin, and A. E. Hassanien, "Hybrid learning enhancement of RBF network with particle swarm optimization", Foundations of Computational, Intelligence Volume 1: Springer Berlin Heidelberg, pp. 381–397, 2009. Abstract
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Noman, S., S. M. Shamsuddin, and A. E. Hassanien, "Hybrid learning enhancement of RBF network with particle swarm optimization", Foundations of Computational, Intelligence Volume 1: Springer Berlin Heidelberg, pp. 381–397, 2009. Abstract
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Noman, S., S. M. Shamsuddin, and A. E. Hassanien, "Hybrid learning enhancement of RBF network with particle swarm optimization", Foundations of Computational, Intelligence Volume 1: Springer Berlin Heidelberg, pp. 381–397, 2009. Abstract
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Hassanien, A. E., H. Al-Qaheri, G. Schaefer, and S. Banerjee, "Intelligent analysis of prostate ultrasound images", Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on: IEEE, pp. 263–268, 2009. Abstract
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Hassanien, A. E., H. Al-Qaheri, G. Schaefer, and S. Banerjee, "Intelligent analysis of prostate ultrasound images", Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on: IEEE, pp. 263–268, 2009. Abstract
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Staelens, S., and I. Lemahieu, "Monte Carlo Based Image Reconstruction in Emission Tom ography", Computational Intelligence in Medical Imaging: Techniques and Applications: CRC Press, pp. 407, 2009. Abstract
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Staelens, S., and I. Lemahieu, "Monte Carlo Based Image Reconstruction in Emission Tom ography", Computational Intelligence in Medical Imaging: Techniques and Applications: CRC Press, pp. 407, 2009. Abstract
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Sahba, F., H. R. Tizhoosh, and M. M. A. Salama, "Reinforced Medical Image Segmentation", Computational Intelligence in Medical Imaging: Techniques and Applications: Chapman and Hall/CRC, pp. 327–345, 2009. Abstract
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