Publications

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Thesis
Abdo, W., Evolutionary Computation in Cryptanalysis, , Cairo Egypt, Al Azhar University and Scientific Research Group in Egypt (SRGE), 2013. ppt_phd_thesis_on_EC_CA.pdfphd_thesis_EC_CA_2013.pdf
Miscellaneous
Chbeir, R., Y. Badr, A. Abraham, and A. - E. Hassanien, Emergent web intelligence: advanced information retrieval, : Springer, 2010. Abstract
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Chbeir, R., Y. Badr, A. Abraham, and A. - E. Hassanien, Emergent web intelligence: advanced information retrieval, : Springer, 2010. Abstract
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Badr, Y., R. Chbeir, A. Abraham, and A. - E. Hassanien, Emergent web intelligence: Advanced semantic technologies, : Springer Science & Business Media, 2010. Abstract
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Badr, Y., R. Chbeir, A. Abraham, and A. - E. Hassanien, Emergent web intelligence: Advanced semantic technologies, : Springer Science & Business Media, 2010. Abstract
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Journal Article
Azar, A. T., and A. E. Hassanien, "Editorial on: Fuzzy Logic in Biomedicine", Computers in biology and medicine, vol. 64: Elsevier Limited, pp. 321, 2015. Abstract
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Egiazarian, K., and A. E. Hassanien, "Editorial: special issue on soft computing in multimedia processing", Informatica, vol. 29, no. 3: Slovenian Society Informatika, pp. 251–253, 2005. Abstract
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Egiazarian, K., and A. E. Hassanien, "Editorial: special issue on soft computing in multimedia processing", Informatica, vol. 29, no. 3: Slovenian Society Informatika, pp. 251–253, 2005. Abstract
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Dadkhah, S., A. A. Manaf, Y. Hori, A. E. Hassanien, and S. Sadeghi, "An effective SVD-based image tampering detection and self-recovery using active watermarking", Signal Processing: Image Communication, vol. 29, no. 10: Elsevier, pp. 1197–1210, 2014. Abstract
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Hassanien, A. E., and M. Nakajima, "An efficient cross-dissolve transformation with alastic body spline warping interpolation for facial image morphing", Machine Graphics and Vision, vol. 7, no. 1/2, pp. 397–406, 1998. Abstract
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Helal, M. A., T. El-Arief, A. E. Hassanien, and N. El-Haggar, "An Efficient Texture Segmentation Algorithm for Isolating Iris Patterns Based on Wavelet Theory", PATTERN RECOGNITION AND IMAGE ANALYSIS C/C OF RASPOZNAVANIYE OBRAZOV I ANALIZ IZOBRAZHENII, vol. 14, no. 1: NAUKA/INTERPERIODICA PUBLISHING, pp. 97–103, 2004. Abstract
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Hassanien, A. - E., Emergent Web Intelligence: Advanced Information Retrieval, : Advanced Information and Knowledge Processing-Springer Verlag, 2010. Abstract
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Hassanien, A. - E., Emergent Web Intelligence: Advanced Semantic Technologies, : Advanced Information and Knowledge Processing-Springer Verlag, 2010. Abstract
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Salama, M. A., A. E. Hassanien, and K. Revett, "Employment of neural network and rough set in meta-learning", Memetic Computing Springer , 2013. AbstractWebsite

The selection of the optimal ensembles of classifiers in multiple-classifier selection technique is un-decidable in many cases and it is potentially subjected to a trial-and-error search. This paper introduces a quantitative meta-learning approach based on neural network and rough set theory in the selection of the best predictive model. This approach depends directly on the characteristic, meta-features of the input data sets. The employed meta-features are the degree of discreteness and the distribution of the features in the input data set, the fuzziness of these features related to the target class labels and finally the correlation and covariance between the different features. The experimental work that consider these criteria are applied on twenty nine data sets using different classification techniques including support vector machine, decision tables and Bayesian believe model. The measures of these criteria and the best result classification technique are used to build a meta data set. The role of the neural network is to perform a black-box prediction of the optimal, best fitting, classification technique. The role of the rough set theory is the generation of the decision rules that controls this prediction approach. Finally, formal concept analysis is applied for the visualization of the generated rules.

Salama, M. A., A. E. Hassanien, and K. Revett, "Employment of neural network and rough set in meta-learning", Memetic Computing, vol. 5, no. 3: Springer Berlin Heidelberg, pp. 165–177, 2013. Abstract
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Salama, M. A., A. E. Hassanien, and K. Revett, "Employment of neural network and rough set in meta-learning", Memetic Computing, vol. 5, no. 3: Springer Berlin Heidelberg, pp. 165–177, 2013. Abstract
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Salama, M. A., A. E. Hassanien, and K. Revett, "Employment of neural network and rough set in meta-learning.", Memetic Computing- Springer, vol. 5, issue 3, pp. 165-177, 2013. Website
Fouad, M. M., V. Snasel, and A. E. Hassanien, "Energy-Aware Sink Node Localization Algorithm for Wireless Sensor Networks", International Journal of Distributed Sensor Networks, , vol. 2015, 2015. Website
Fouad, M. M., V. Snasel, and A. E. Hassanien, "Energy-aware sink node localization algorithm for wireless sensor networks", International Journal of Distributed Sensor Networks, vol. 11, no. 7: SAGE Publications, pp. 810356, 2015. Abstract
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Zhou, X., K. Xiao, Alei Liang, Haibing Guan, and A. E. Hassanien, Energy-based Particle Swarm Optimization: Towards Energy Homeostasis in Social Autonomous Robots, , 2011. Abstract
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Zhou, X., K. Xiao, Alei Liang, Haibing Guan, and A. E. Hassanien, Energy-based Particle Swarm Optimization: Towards Energy Homeostasis in Social Autonomous Robots, , 2011. Abstract
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Hassanien, A. E., and J. M. H. Ali, "Enhanced rough sets rule reduction algorithm for classification digital mammography", Journal of Intelligent Systems, vol. 13: FREUND PUBLISHING HOUSE LTD., pp. 151–171, 2003. Abstract
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Hussein, H. K., A. - E. Hassanien, and M. Nakajima, "Escape-Time Modified Algorithm for Generating Fractal Images Based on Petri Net Reachability", IEICE TRANSACTIONS on Information and Systems, vol. 82, no. 7: The Institute of Electronics, Information and Communication Engineers, pp. 1101–1108, 1999. Abstract
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