Publications

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Elshazly, H. I., A. M. Elkorany, and A. E. Hassanien, "Ensemble-based classifiers for prostate cancer Diagnosis", The 9th IEEE International Computer Engineering Conference (ICENCO 2013) pp. 49 - 54, Cairo, EGYPT -, December 29-30, 2013.
Elshazly, H. I., A. M. Elkorany, and A. E. Hassanien, "Ensemble-based classifiers for prostate cancer diagnosis", Computer Engineering Conference (ICENCO), 2013 9th International: IEEE, pp. 49–54, 2013. Abstract
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El-Bendary, N., V. Snasel, G. Adam, F. Mansour, N. I. Ghali, O. S. Soliman, and A. E. Hassanien, "E-Contract Securing System Using Digital Signature Approach", Advanced Communication and Networking: Springer Berlin Heidelberg, pp. 183–189, 2011. Abstract
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El-Bendary, N., V. Snasel, G. Adam, F. Mansour, N. I. Ghali, O. S. Soliman, and A. E. Hassanien, "E-Contract Securing System Using Digital Signature Approach", Advanced Communication and Networking: Springer Berlin Heidelberg, pp. 183–189, 2011. 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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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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Belem, B., and P. Plassmann, "Early Detection of Wound Inflammation by Color Analysis", Computational Intelligence in Medical Imaging: Techniques and Applications: Chapman and Hall/CRC, pp. 89–111, 2009. 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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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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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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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Ayeldeen, H., A. E. Hassanien, and A. Fahmy, "Evaluation of Semantic Similarity across MeSH Ontology: A Cairo University Thesis Mining Case Study", 12th Mexican International Conference on Artificial Intelligence, , Mexico City, Mexico, pp. 139-144, 2013.
Ayeldeen, H., A. E. Hassanien, and A. A. Fahmy, "Evaluation of semantic similarity across MeSH ontology: a Cairo University thesis mining case study", Artificial Intelligence (MICAI), 2013 12th Mexican International Conference on: IEEE, pp. 139–144, 2013. Abstract
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Ayeldeen, H., M. A. Mahmood, and A. E. Hassanien, "Effective Classification and Categorization for Categorical Sets: Distance Similarity Measures", Information Systems Design and Intelligent Applications: Springer India, pp. 359–368, 2015. Abstract
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Awad, A. I., and A. E. Hassanien, "Erratum: Impact of Some Biometric Modalities on Forensic Science", Computational Intelligence in Digital Forensics: Forensic Investigation and Applications: Springer International Publishing, pp. E1–E1, 2014. Abstract
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Asmaa Osamaa, S. A. El-Said, and A. E. Hassanien, "Energy-Efficient Routing Techniques for Wireless Sensors Networks", Handbook of Research on Emerging Technologies for Electrical Power Planning, Analysis, and Optimization: IGI Global, pp. 37–62, 2016. Abstract
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Alaa Tharwat, Abdelhameed Ibrahim, A. E. Hassanien, and G. Schaefer, "Ear recognition using block-based principal component analysis and decision fusion", International Conference on Pattern Recognition and Machine Intelligence: Springer International Publishing, pp. 246–254, 2015. Abstract
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Alaa Tharwat, Abdelhameed Ibrahim, A. E. Hassanien, and G. Schaefer, "Ear Recognition Using Block-Based Principal Component Analysis and Decision Fusion", 6th International Conference Pattern Recognition and Machine Intelligence (PReMI 2015:), Warsaw, Poland, 2 July, 2015.
Ahmed, K., A. E. Hassanien, and E. Ezzat, "An Efficient Approach for Community Detection in Complex Social Networks Based on Elephant Swarm Optimization Algorithm", Handbook of Research on Machine Learning Innovations and Trends: IGI Global, pp. 1062–1075, 2017. Abstract
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Ahmed, K., and A. E. Hassanien, "An Efficient Approach for Community Detection in Complex Social Networks Based on Elephant Swarm Optimization Algorithm", Handbook of Research on Machine Learning Innovations and Trends, USA, IGI, 2017. Abstract

Complex social networks analysis is an important research trend, which basically based on community detection. Community detection is the process of dividing the complex social network into a dynamic number of clusters based on their edges connectivity. This paper presents an efficient Elephant Swarm Optimization Algorithm for community detection problem (EESO) as an optimization approach. EESO can define dynamically the number of communities within complex social network. Experimental results are proved that EESO can handle the community detection problem and define the structure of complex networks with high accuracy and quality measures of NMI and modularity over four popular benchmarks such as Zachary Karate Club, Bottlenose Dolphin, American college football and Facebook. EESO presents high promised results against eight community detection algorithms such as discrete krill herd algorithm, discrete Bat algorithm, artificial fish swarm algorithm, fast greedy, label propagation, walktrap, Multilevel and InfoMap.