Abeer ElKorany
Head of Computer Science Department
(email)
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2021
Sayed, S. A. - F., A. M. Elkorany, and S. Sayed Mohammad,
"
Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity
",
Ieee Access
, vol. 9: IEEE, pp. 135697–135707, 2021.
Abstract
n/a
Alfarghaly, O., R. Khaled, A. Elkorany, M. Helal, and A. Fahmy,
"
Automated radiology report generation using conditioned transformers
",
Informatics in Medicine Unlocked
, vol. 24: Elsevier, pp. 100557, 2021.
Abstract
n/a
2020
ElKady, M., A. Elkorany, and A. Allam,
"
ACAIOT: A Framework for Adaptable Context-Aware IoT applications
",
International Journal of Intelligent Engineering and Systems
, vol. 13, issue 4, pp. 271-283, 2020.
2019
Mostafa, H., M. El-Ramly, A. Elkorany, and H. Shaban,
"
behavio2auth : Sensor-based Behavior Biometric Authentication for Smartphones
",
6th annual international conference on arabwoman computing
, Morroco, March, 2019.
2018
Hanafy, R., A. Elkorany, and S. Makady,
"
A Social Trust Metric for Scholarly Reputation Mining
",
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
, Barcelona, Spain, August , 2018.
Samy, M., and A. Elkorany,
"
Using Semantic Features For Enhancing Car Pooling System
",
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
, Barcelona, Spain, August , 2018.
ElKalamawy, M., and A. Elkorany,
"
Effect of Mobile Device Profiling in Mobile Computation Offloading
",
International Journal of Computer Science and Information Security (IJCSIS),
, vol. 16, issue 9, pp. 39-45, 2018.
ijcsis_effect_of_mobile_device_profiling_in_mobile_computation_offloading-final.docx
Aly, M. S., and A. Elkorany,
"
Identifying Dynamic Topics of Interest across Social Networks
",
International Journal of Advanced Computer Science and Applications (IJACSA)
, vol. 9, issue 8, pp. 344-349, 2018.
2017
elsyed Eman, elkorany Abeer, S. A. L. A. H. Akram, and H. Hefny,
"
Exploiting Social Annotations for Personalizing Retrieval
",
International Journal of Intelligent Engineering and Systems
, vol. Vol. 10, issue No. 6, December 2017, pp. 192-202, 2017.
Abstract
exploiting_social_annotations_for_personalizing_re.pdf
n/a
Elsayed, E., A. Elkorany, A. K. R. A. M. SALAH, and undefined,
"
Review Aspects of Using Social Annotation for Enhancing Search Engine Performance
",
International Journal of Computer
, vol. Vol. 24, issue No. 1, January 2017, pp. 177-189 , 2017.
Abstract
social-annotation-17.pdf
n/a
Elsayed, E., A. Elkorany, A. K. R. A. M. SALAH, and H. Hefny,
"
Semantic information retrieval based on social annotation
",
International Journal of Computer Science and Information Security
, vol. Vol. 15, issue No. 3, March 2017, 2017.
semantic_information_retrieval_based_on.pdf
ElKady, M., A. Elkorany, and undefined,
"
Towards a Semantic-based Context-as-a-Service for Internet of Things
",
International Journal of Computer Science and Information Security
, vol. Vol. 15, issue No. 8, August 2017, pp. 284-293, 2017.
37_paper_31071768_ijcsis_camera_ready_pp._284-293.pdf
2016
Khattab, S., A. Elkorany, and A. K. R. A. M. SALAH,
"
Enhancing Community Detection in Social Network using Ontology
",
8th International Conference on Knowledge Engineering and Ontology Development
, Porto, Portoghal., November 2016.
keod_2016_29_cr.pdf
Galal, A., and A. El-Korany,
"
Enabling Semantic User Context to Enhance Twitter Location Prediction
",
8th International Conference on Agents and Artificial Intelligence (ICAART 2016)
, Rome, Italy, Feb, 2016.
Alsayadi, H. A., and A. Elkorany,
"
Integrating Semantic Features for Enhancing Arabic Named Entity Recognition.
",
International Journal of Advanced Computer Science & Applications
, vol. 7, issue 3, pp. 128-136, 2016.
Alkadri, A. M., and A. M. ElKorany,
"
Semantic Feature Based Arabic Opinion Mining Using Ontology
",
International Journal of Advanced Computer Science and Applications
, vol. 7, issue 5, pp. 577-583, 2016.
Ahmed, C., A. Elkorany, and
R. Bahgat
,
"
A supervised learning approach to link prediction in Twitter
",
Social Network Analysis and Mining
, vol. 6, issue 1, pp. 1-11, 2016.
2015
Galal, A.,
"
Dynamic Modeling of Twitter Users
",
17th International Conference on Enterprise Information Systems (ICEIS)], Barcelona, 2015
, 2015.
Abstract
n/a
Ahmed, C., and A. Elkorany,
"
Enhancing Link Prediction in Twitter using Semantic User Attributes
",
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015
: ACM, pp. 1155–1161, 2015.
Abstract
n/a
Meghawry, S., A. Elkorany, A. K. R. A. M. SALAH, and T. ElGhazaly,
"
SEMANTIC EXTRACTION OF ARABIC MULTIWORD EXPRESSIONS
",
Computer Science & Information Technology (CS & IT)
, vol. 5, 2015.
Abstract
n/a
2014
Khodier, M., A. K. R. A. M. SALAH, and A. El-Korany,
Modeling Users' Topical Interests on Twitter: a Novel Framework
,
: Academy of Science and Engineering (ASE), USA,{\copyright} ASE 2014, 2014.
Abstract
n/a
Othman, M., H. Hassan, R. Moawad, and A. El-Korany,
"
Opinion Mining and Sentimental Analysis Approaches: A Survey
",
Life Science Journal
, vol. 11, no. 4, pp. 321–326, 2014.
Abstract
n/a
Azar, A. T., H. I. Elshazly, A. E. Hassanien, and A. M. Elkorany,
"
A random forest classifier for lymph diseases
",
Computer methods and programs in biomedicine
, vol. 113, no. 2: Elsevier, pp. 465–473, 2014.
Abstract
n/a
Ali, G., and A. Elkorany,
"
Semantic-based Collaborative Filtering for Enhancing Recommendation
",
6th International Conference on Knowledge Engineering and Ontology Development
, 2014.
Abstract
n/a
2013
Hanaa Elshazly1, *, A. T. A. 2 A. E. -korany1*, and A. E. Hassanien1,
"
Hybrid System based on Random Forests and Genetic Algorithm for Lymph Diseases
",
Journal of Advanced Research
: Elsevier, 2013.
Abstract
n/a
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Applying Different Machine Learning Techniques for Prediction of COVID-19 Severity
Automated radiology report generation using conditioned transformers
ACAIOT: A Framework for Adaptable Context-Aware IoT applications
behavio2auth : Sensor-based Behavior Biometric Authentication for Smartphones
A Social Trust Metric for Scholarly Reputation Mining
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